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As the request for digitalization continues to grow at an accelerated rate, more and more CIOs are putting low-code technology at the top of their priority list given the inherent strategic benefit it has in improving operational efficiency and accelerating digital transformation projects. All without requiring too much time or money invested in the development process. According to published in June 2021, low-code software development platforms are becoming increasingly popular as businesses strive to streamline workflows and digitalize. Low-code technology is already used in nearly half of the studied enterprises (47%) and one-fifth are planning to adopt a low-code platform within the next 12 months. The majority of respondents use low-code platforms to: TechRepublic research automate workflows (17%), create new apps (15%), shorten development time (15%), automate data collecting and reporting (15%), 0% of respondents mentioned reducing the burden on developers. also expect that by 2025, 70% of new enterprise apps would be built using minimal or no-code technologies, up from below 25% in 2020, as low-code has evolved to offer immediate and very high impact in enterprises. Gartner analysts This growing popularity of low-code development platforms is unsurprising, as they put process innovation tools in the hands of problem solvers, and both non-developers and developers are seeing an increase in the sophistication of the apps they can create using low-code approaches. And as more businesses discover what is possible with low-code development, the adoption of these tools will not only continue to grow but it will also become more structured. So, let’s look at 3 different low-code development approaches the LCP Market has contoured and the main things every CIO should know about them when it comes to adopting a low-code platform to drive their digital transformation strategy. IT centric low-code development platforms Designed for skilled developers to make their jobs easier and faster. They were a big hit once developers figured them out. They have built-in development, testing, production, licensing, and data governance. The tools are built on well-known development principles and can be used to construct various apps. But this is also their downfall, at least from a business point of view.  Because line-of-business stakeholders are unfamiliar with the tools, their involvement in the development process is generally limited to translating requirements. Resulting in a single-threaded delivery model where developers need to comprehend business requirements, generate a technical specification, and then go through blueprinting budgeting development user acceptance testing (UAT), go live, and then modify requests resuming the process. Businesses also struggled to grasp what was going on "behind the scenes," leaving them unable to assess how the application "behaved" in connection to their original business requirements. This is because they can't see what they're dealing with and in the end this slows down the development cycle. In this category I identified the following low-code platforms: Pega Agilepoint Unqork Caspio Aura Quantic Low-code development platforms for citizen developers Low-code platforms for citizen developers can be used to produce low to mid-complexity applications for 12-24 users inside an organization to achieve a certain goal, ideal for start-ups. Anyone who understands the business subject matter can build and change it fast. However, because these solutions are designed for small workgroups, they often lacked the scalability and interoperability required for big user communities, complicated technological environments, and enterprise deployments. They either hit severe limits or required extensive technical intervention from a range of technical disciplines to try and extend what wasn't inherent to the tool itself. Low-code platforms posed new issues for enterprises and IT professionals entrusted with assuring governance over application deployment and business utility. Many strengths we see in the IT centric low-code platforms, such as numerous staging environments, access rights, data for technical and business audits, important security features, license control, and on-premises deployment choices are frequently absent from their core set of functionalities. It’s no surprise that many IT professionals are still hesitant of implementing these toolsets. In this category I identified the following low-code platforms: PowerApps Betty Blocks Creatio Kissflow 3. Low-code development platforms for collaboration Low-code platforms developed for collaboration combine the best of both types of platforms listed above, allowing enterprises to build simple to complex apps that expand from dozens to thousands of users and transactions. They include all the controls and functionalities required for enterprise governance while also fostering a more collaborative environment in which subject matter experts can contribute to the development of a software application, understand what is being built as it is being built, and contribute in a way that is intuitive to their specific expertise. With low-code platforms built for collaboration, it is possible to have the business stakeholder work on aspects of the build that align with their expertise (automation flows, data models, UI design), while leaving the technical aspects (integrations, access control, staging environments, technical audits) to the IT subject matter experts. This eliminates business and IT silos and enable faster time to value for both parties. Enterprises can have technical and business teams working together on a same platform for a common goal. It's business-grade, has built-in governance, is intuitive for all users, and can scale quickly from departmental to corporate apps and it meets the needs of today's time-pressed, multi-faceted, ever-growing businesses. In this category I identified the following low-code platforms: Aurachain Mendix In 2022, digital transformation will reach new heights, but are we about to make the same software failure mistakes all over again? The past two years have been a wake-up call for firms without a clear digital transformation strategy.  The epidemic has emphasized the necessity for businesses to produce digital apps swiftly and easily adaptive to shifting needs. Businesses needed to change quickly and were looking for more cost-effective and agile solutions, but they must be careful when choosing their low-code approach. As Jonathan Wiener writes in TechRegister in his article ( SEE: Are we about to make the same software failure mistakes all over again?) “The risk ahead lies in the fact that many of the tools being used in low-code development environments when they divide rather than unite the various specialists in the process. They create ‘fiefdoms’ between tech and business rather than bringing the two sides together into one ‘development conversation.’ On the one hand we hear about developers wanting to retain control of their knowledge (and rightly so in many ways), while trends such as the citizen developer suggest it is OK for non-techies to build their own systems in isolation. It is OK at a basic workflow level, but not when you’re addressing mission-critical problems and enterprise application use. ” Collaboration should extend beyond teams working together to create a new digital app. It should exist at all stages of the development cycle, from process design to documentation, API design, publication, and app performance analysis. It is a collaborative effort between all essential parties, aided by technology. When work is 'democratized' among all relevant business and technical subject matter experts, a team can build together within the platform rather than working in isolation on its composite elements. To do so, a platform that is both user-friendly and enterprise-grade – with built-in governance, mission-critical change support, and cloud-native scalability – is required. The good news is that these types of platforms are now available on the LCP Market in the form of collaboration platforms - they are business-grade, have built-in governance, are intuitive for all users, and can scale quickly from departmental to corporate apps, and they meet the needs of today's time-pressed, multi-faceted, ever-growing businesses.

3 Types of Low-Code Development Platform That Every CIO Should Know About

Templates are widely used to perform the functions of the most common apps. They are ready-made structures that can be filled with any required contents and built into any environment or used independently. Templates significantly speed up the development process, they can serve as prototypes, and be part of a more complex solution. In this overview we will look at the most powerful templates, that can come in handy in various business spheres. for Training Management Quickbase This is an application development platform that allows teams to cooperate on joint projects. The platform helps to build an ecosystem of applications with a possibility to scale.
Education is the sphere where Quickbase will show its best. With the help of Quickbase, it is possible to create training management software that will unite students and their managers and coordinate the training process. Various access rights allow managing who can view and make changes to the information provided in the tool. Managers see the progress of their teams, interactive charts allow to estimate the current performance. Teams can view the reports, upload and download the information. There are tables with all the necessary data on the ongoing courses. There is a possibility to set automatic processes that will be caused by the defined triggers. Dashboards of the assigned roles show the access rights of the users with the possibility to make changes. The platform is a great assistant that allows you to reduce the paper-based document flow and to have all the certifications and compliance awards of students in one place. for Reservation Tools Betty Blocks This is one more platform that offers opportunities for building complex applications without coding. The UI is built with drag-n-drop and can be combined with any popular JS framework. A convenient reservation tool is something you can create fast and enjoy using immediately. It can be turned into a rooms reservation solution or a car rental site. The tool will be automatically integrated with Google calendar. All you need to do is to find a preferred time slot. The guests of the event will receive automatic invitations generated by the application. The application is simple and clear in its functions. Reservations are shown for the current week or a day. Bright colors add liveliness to the general looks of the tool. The domain where the tool can be used is wide. It comprises anything connected with reservations. Whenever you need to book something, Betty Blocks will make it for you fast and effectively. for IoT Solutions Azure Another platform for fast and easy development. Web UI allows connecting users all around the world, to create access rights for them, and to share and customize data. The application templates on this platform can be either generic or more specific. If you need an industry-focused template, it will be related to: retail energy government healthcare. Applications based on the templates from Azure work with various devices, collect data from them, and arrange that data in a customizable way. The examples of the applications are the following: Gathering the information from the IoT sensors to check the conditions of the shipment. The information is then shown in dashboards online with an opportunity to disable the sensors or change the shipment conditions. Monitoring the performance of the distribution center through the connected cameras. Such a solution will allow to track the orders effectively, and automatically identify faulty goods. Solar panels monitoring to check their energy-generating potential and connection status online. The list of possibilities can be prolonged. Azure deals with sensors, cameras, and other devices which collect information that can be further arranged and shown in a required way. for KPI Tracking DHTMLX DHTMLX offers various business templates, which can be used in hotel management, the education sphere,  and hospital management. KPI tracking systems will help with monitoring sales activity and performance. Sales representatives are shown in an interactive list, which is easy to customize. Charts show the number of deals per year, as well as the number of calls and messages sent to the customers by each sales representative. All the visual elements are customizable and can be changed according to the requirements. With the system, it is possible to make calculations related to the deal size, to compare the number of products sold. The KPI tracking system from DHTMLX provides a nice opportunity to start tracking the key indicators of your business and to make immediate enhancements in performance. for Common Tasks Webix JavaScript Templates made a whole catalog of templates for various needs. All the templates are ready-made application UIs. To start using any of them you just need to download the source code. Here is a list of just some templates offered by the Webix developers: Webix JS library Taskboard based on the Kanban tool. It helps to visualize the working process, to assign tasks and resources. Budget tracker for managing personal finances. The expenses are grouped in categories, they can be saved or filtered. Chat and messenger template which is ready to be integrated into any project. POS terminal template for the e-commerce marketplace with a list of purchases, prices, and descriptions. The list of the templates included in the catalog is extensive. There is a convenient tool for any general-purpose application. Conclusion We have managed to make a list of various types of templates. There are more solutions on the market, but we tried to choose the most functional and convenient ones. With this overview, you can see which business web applications can benefit from using the templates.

5 Best JavaScript Templates for Business

Samsung, the world's second largest technology company by revenue, recently unveiled its plan to build the first AI-powered home appliances to have blockchain security-grade architecture. In other words, the tech giant is planning to leverage its Knox Matrix security framework  to create a ‘Trust Chain”, in a bid to secure connected devices in smart homes. This, like many other instances, is clear proof of the growing intersection between AI and blockchain technology,  which is often marked by the pronounced interest of tech companies in blockchain solutions. It reinforces the theory that AI needs blockchain and vice versa.  (Put simply, intelligence needs trust to thrive). In the words of Peter Kyle, UK’s Secretary of State For Science And Technology: AI has the potential to improve our public services, boost productivity and rebuild our economy.  But to take full advantage,  we need to build trust in these systems. Moreover, AI needs not just trust but it also needs decentralization to thrive. With decentralized AI, we can securely and efficiently distribute AI data against the background of centralized rules, thus enabling us to break free from centralized AI platforms commonly referred to as ‘AI data silos”. Dismantling AI Ecosystem's Bottlenecks AI must be built on trust and decentralization. The reasons are straightforward. In traditional AI systems, large corporations wield significant control over the distribution and accessibility of AI data. This centralized control is a bottleneck to AI development because it practically limits the potential of AI systems to learn from a diverse range of comprehensive datasets, thus hindering innovation in various industries where AI is used. Additionally, the lack of user control over their sensitive data has brought the issue of users’ privacy to the fore, making it one of their core underlying issues in AI development. Given the tendency of giant tech companies to cross the line by breaching users' privacy, the need for a collaborative AI ecosystem built on users’ privacy and ownership has become more apparent than ever. Furthermore, the centralized storage of AI data also poses a significant challenge to its accessibility. A decentralized AI data storage, however, opens up access to multiple stakeholders working in the AI industry,  improving the quality of AI data and the sophistication of its end users. A general example of the collaborative approach to data storage and accessibility is DePIN platforms which allow users to rent out their computing resources in return for tokenized rewards. These platforms incentivize users to individually participate in the distribution and cloud storage of heavy data loads on a decentralized network. Filecoin, Storj, Airweave, and Zetta AI, for example, reward users for contributing to a decentralized data economy, enabling the coordination of a global network of contributors—from developers to enterprises—to build, share, and be fairly rewarded for high-quality AI asset contributions while maintaining ownership, privacy, and control. Benefits of Decentralized AI Decentralized AI offers numerous advantages when compared to traditional data storage systems, which are often criticized for their centralization, limited accessibility, and breach of users’ privacy. Some of these benefits include : Data Quality As Jeff Dean rightly put it: The quality of your data determines the quality of your AI. Enabling AI models to learn from a wider comprehensive dataset can significantly improve the quality and output of AI data, thus creating more sophisticated AI data repositories for various stakeholders in the industry. Decentralized Ownership The beauty of decentralized AI is its ability to foster decentralized ownership of data while preserving users’ privacy and security. Centralization is a far cry from these attributes because it allows few platforms with significant resources to determine how AI data is stored and used. Collaboration and Incentive Decentralized AI fosters open collaboration among the various participants in a decentralized network by rewarding collaborative data sharing and participants’ contributions to AI model development. Tokenized rewards (i.e. tokens) are fairly distributed to users as incentives. Increased Transparency and Trust Decentralized AI fosters transparency, which involves recording all transactions and decision-making processes on a blockchain. Blockchain has the ability to ensure that AI data is traced and verified.  The traceability and transparency of AI data is crucial in building trust with users as it enables them to understand how their data is used.  This is a stark contrast to centralized platforms where users have little or no knowledge of how their data are used. Democratized AI development Famous AI advocate, Cathy O Neil, once said: Decentralized AI is a powerful tool for democratizing access to AI technology. By breaking down the barriers of centralization, we can empower individuals and communities to develop and deploy AI solutions that address their specific needs. The development of AI is dependent on the diversity of its learning models. It's vital to train AI systems from multiple rather than a single data set to enhance their performance and the quality of data across various industries. Latest Development: ZettaBlock Unveils KiteAI To Democratize AI Development ZettaBlock recently unveiled KiteAI, a transformative AI platform that opens access to non-public data for AI developers, with a focus on ensuring that contributors are fairly compensated. The team has concentrated on building enhanced data pipelines, especially for blockchain data, supporting key players like SUI, Eigenlayer, Chainlink Labs,etc. This platform has processed tens of terabytes of data, making it accessible to organizations for AI model development while safeguarding the privacy of the original data sources. Through advanced data attribution and privacy-preserving technology, ZettaBlock’s platform uniquely supports a collaborative economy. It ensures that contributors are recognized and rewarded as their data directly contributes to model performance and value. ZettaBlock is set to showcase elements of this technology at the upcoming Devcon, where attendees will gain insights into how the platform enables secure, equitable access to data for AI advancements. Conclusion: Building a responsible, efficient, and inclusive AI ecosystem is at the heart of decentralized AI. Moreso, it is a paradigm shift from centralized control of vital AI data hindering the further development of AI models. By encouraging decentralized data sharing and storage, it increases accessibility and foresters a collaborative approach to improving the quality of AI data. Most importantly, decentralized AI is poised to help AI to unlock its full potential and serve the various needs of individuals and organizations. Samsung, the world's second largest technology company by revenue, recently unveiled its plan to build the first AI-powered home appliances to have blockchain security-grade architecture. In other words, the tech giant is planning to leverage its Knox Matrix security framework  to create a ‘Trust Chain”, in a bid to secure connected devices in smart homes. This, like many other instances, is clear proof of the growing intersection between AI and blockchain technology,  which is often marked by the pronounced interest of tech companies in blockchain solutions. It reinforces the theory that AI needs blockchain and vice versa.  (Put simply, intelligence needs trust to thrive). In the words of Peter Kyle, UK’s Secretary of State For Science And Technology: AI has the potential to improve our public services, boost productivity and rebuild our economy.  But to take full advantage,  we need to build trust in these systems. AI has the potential to improve our public services, boost productivity and rebuild our economy.  But to take full advantage,  we need to build trust in these systems. Moreover, AI needs not just trust but it also needs decentralization to thrive. With decentralized AI, we can securely and efficiently distribute AI data against the background of centralized rules, thus enabling us to break free from centralized AI platforms commonly referred to as ‘AI data silos”. Dismantling AI Ecosystem's Bottlenecks AI must be built on trust and decentralization. The reasons are straightforward. In traditional AI systems, large corporations wield significant control over the distribution and accessibility of AI data. This centralized control is a bottleneck to AI development because it practically limits the potential of AI systems to learn from a diverse range of comprehensive datasets, thus hindering innovation in various industries where AI is used. This centralized control is a bottleneck to AI development because it practically limits the potential of AI systems to learn from a diverse range of comprehensive datasets, thus hindering innovation in various industries where AI is used. This centralized control is a bottleneck to AI development because it practically limits the potential of AI systems to learn from a diverse range of comprehensive datasets, thus hindering innovation in various industries where AI is used. Additionally, the lack of user control over their sensitive data has brought the issue of users’ privacy to the fore, making it one of their core underlying issues in AI development. Given the tendency of giant tech companies to cross the line by breaching users' privacy, the need for a collaborative AI ecosystem built on users’ privacy and ownership has become more apparent than ever. Furthermore, the centralized storage of AI data also poses a significant challenge to its accessibility. A decentralized AI data storage, however, opens up access to multiple stakeholders working in the AI industry,  improving the quality of AI data and the sophistication of its end users. A general example of the collaborative approach to data storage and accessibility is DePIN platforms which allow users to rent out their computing resources in return for tokenized rewards. These platforms incentivize users to individually participate in the distribution and cloud storage of heavy data loads on a decentralized network. Filecoin, Storj, Airweave, and Zetta AI, for example, reward users for contributing to a decentralized data economy, enabling the coordination of a global network of contributors—from developers to enterprises—to build, share, and be fairly rewarded for high-quality AI asset contributions while maintaining ownership, privacy, and control. Benefits of Decentralized AI Decentralized AI offers numerous advantages when compared to traditional data storage systems, which are often criticized for their centralization, limited accessibility, and breach of users’ privacy. Some of these benefits include : Data Quality As Jeff Dean rightly put it: The quality of your data determines the quality of your AI. The quality of your data determines the quality of your AI. Enabling AI models to learn from a wider comprehensive dataset can significantly improve the quality and output of AI data, thus creating more sophisticated AI data repositories for various stakeholders in the industry. Decentralized Ownership The beauty of decentralized AI is its ability to foster decentralized ownership of data while preserving users’ privacy and security. Centralization is a far cry from these attributes because it allows few platforms with significant resources to determine how AI data is stored and used. Collaboration and Incentive Decentralized AI fosters open collaboration among the various participants in a decentralized network by rewarding collaborative data sharing and participants’ contributions to AI model development. Tokenized rewards (i.e. tokens) are fairly distributed to users as incentives. Increased Transparency and Trust Decentralized AI fosters transparency, which involves recording all transactions and decision-making processes on a blockchain. Blockchain has the ability to ensure that AI data is traced and verified.  The traceability and transparency of AI data is crucial in building trust with users as it enables them to understand how their data is used.  This is a stark contrast to centralized platforms where users have little or no knowledge of how their data are used. Democratized AI development Famous AI advocate, Cathy O Neil, once said: Decentralized AI is a powerful tool for democratizing access to AI technology. By breaking down the barriers of centralization, we can empower individuals and communities to develop and deploy AI solutions that address their specific needs. Decentralized AI is a powerful tool for democratizing access to AI technology. By breaking down the barriers of centralization, we can empower individuals and communities to develop and deploy AI solutions that address their specific needs. The development of AI is dependent on the diversity of its learning models. It's vital to train AI systems from multiple rather than a single data set to enhance their performance and the quality of data across various industries. Latest Development: ZettaBlock Unveils KiteAI To Democratize AI Development Latest Development: ZettaBlock Unveils KiteAI To Democratize AI Development ZettaBlock recently unveiled KiteAI, a transformative AI platform that opens access to non-public data for AI developers, with a focus on ensuring that contributors are fairly compensated. The team has concentrated on building enhanced data pipelines, especially for blockchain data, supporting key players like SUI, Eigenlayer, Chainlink Labs,etc. This platform has processed tens of terabytes of data, making it accessible to organizations for AI model development while safeguarding the privacy of the original data sources. Through advanced data attribution and privacy-preserving technology, ZettaBlock’s platform uniquely supports a collaborative economy. It ensures that contributors are recognized and rewarded as their data directly contributes to model performance and value. ZettaBlock is set to showcase elements of this technology at the upcoming Devcon, where attendees will gain insights into how the platform enables secure, equitable access to data for AI advancements. Conclusion: Conclusion: Building a responsible, efficient, and inclusive AI ecosystem is at the heart of decentralized AI. Moreso, it is a paradigm shift from centralized control of vital AI data hindering the further development of AI models. By encouraging decentralized data sharing and storage, it increases accessibility and foresters a collaborative approach to improving the quality of AI data. Most importantly, decentralized AI is poised to help AI to unlock its full potential and serve the various needs of individuals and organizations.

AI Needs Two Things To Thrive: Trust And Decentralization

ZettaBlock, an industry-leading, institutional-grade Web3 data infrastructure platform, is proud to announce a new collaboration with the Stellar Development Foundation, the organization that supports the development and growth of the Stellar network, known for facilitating open and accessible financial transactions. This integration is set to redefine the landscape of blockchain development, offering a streamlined path for developers to create not just any Web3 application, but powerful data-driven applications on Stellar, with ease and efficiency. ZettaBlock and the Stellar Development Foundation are joining forces with a shared goal: to make the blockchain space more accessible and powerful for developers and to open up new possibilities for how financial systems can operate globally. This is about providing the tools and support needed to create applications that are not just scalable and secure, but also truly efficient. “SDF is excited to work with ZettaBlock in giving our community more intelligence tools to build best-in-class dapps,” said Justin Rice, VP of Ecosystem of the Stellar Development Foundation. “We’re committed to making Stellar the highest quality network for developers to build on, and this integration with ZettaBlock furthers this initiative.” By leveraging ZettaBlock’s advanced indexing, real-time data, and analytics capabilities alongside Stellar’s robust network for financial transactions, this integration promises to revolutionize the way developers build and deploy dapps. Developers now have access to a fully managed backend, with rich, actionable on-chain data –  both historical and real-time – but also the ability to seamlessly integrate with private data sources. ZettaBlock empowers developers to swiftly create custom APIs tailored to their specific business needs or dapp logic. With the ability to generate GraphQL endpoints from SQL queries in one click, without the burden of infrastructure overhead, developers can now bring their innovative dapps to the Stellar ecosystem more than 90% faster. "We're thrilled to join forces with Stellar," said Chi Zhang, CEO and Co-Founder of ZettaBlock. "This collaboration mirrors our mutual dedication to unlocking the full potential of blockchain data for everyone. We're excited to see the innovative applications that developers on Stellar will create using our comprehensive data platform." Get Started with ZettaBlock and Stellar: Build powerful, data-driven applications on Stellar using ZettaBlock's advanced tools, or discover how our integration can revolutionize your business. Visit app.zettablock.com to get started, or zettablock.com to learn more. About ZettaBlock ZettaBlock is an institutional-grade, full-stack Web3 data platform for indexing, querying, and analyzing across 12+ blockchains and 500+ datasets. Our platform makes Web3 data accessible and accelerates the development of scalable Web3 applications with real-time data. Swiftly generate custom GraphQL or REST APIs from SQL queries and incorporate your private off-chain data, empowering your applications with unparalleled scalability and flexibility. Follow ZettaBlock on Twitter and LinkedIn. About Stellar Development Foundation The Stellar Development Foundation (SDF) is a non-profit organization that supports the development and growth of Stellar, an open-source network that connects the world’s financial infrastructure. Founded in 2014, the Foundation helps maintain the Stellar codebase, supports the technical and business communities building on the network, and serves as a voice to regulators and institutions. The Foundation seeks to create equitable access to the global financial system, using the Stellar network to unlock the world’s economic potential through blockchain technology. For more information, visit stellar.org/foundation. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. ZettaBlock, an industry-leading, institutional-grade Web3 data infrastructure platform, is proud to announce a new collaboration with the Stellar Development Foundation, the organization that supports the development and growth of the Stellar network, known for facilitating open and accessible financial transactions. This integration is set to redefine the landscape of blockchain development, offering a streamlined path for developers to create not just any Web3 application, but powerful data-driven applications on Stellar, with ease and efficiency. ZettaBlock and the Stellar Development Foundation are joining forces with a shared goal: to make the blockchain space more accessible and powerful for developers and to open up new possibilities for how financial systems can operate globally. This is about providing the tools and support needed to create applications that are not just scalable and secure, but also truly efficient. “SDF is excited to work with ZettaBlock in giving our community more intelligence tools to build best-in-class dapps,” said Justin Rice, VP of Ecosystem of the Stellar Development Foundation. “We’re committed to making Stellar the highest quality network for developers to build on, and this integration with ZettaBlock furthers this initiative.” “SDF is excited to work with ZettaBlock in giving our community more intelligence tools to build best-in-class dapps,” said Justin Rice, VP of Ecosystem of the Stellar Development Foundation . “We’re committed to making Stellar the highest quality network for developers to build on, and this integration with ZettaBlock furthers this initiative.” Justin Rice, VP of Ecosystem of the Stellar Development Foundation By leveraging ZettaBlock’s advanced indexing, real-time data, and analytics capabilities alongside Stellar’s robust network for financial transactions, this integration promises to revolutionize the way developers build and deploy dapps. Developers now have access to a fully managed backend, with rich, actionable on-chain data –  both historical and real-time – but also the ability to seamlessly integrate with private data sources. ZettaBlock empowers developers to swiftly create custom APIs tailored to their specific business needs or dapp logic. With the ability to generate GraphQL endpoints from SQL queries in one click, without the burden of infrastructure overhead, developers can now bring their innovative dapps to the Stellar ecosystem more than 90% faster. "We're thrilled to join forces with Stellar," said Chi Zhang, CEO and Co-Founder of ZettaBlock. "This collaboration mirrors our mutual dedication to unlocking the full potential of blockchain data for everyone. We're excited to see the innovative applications that developers on Stellar will create using our comprehensive data platform." "We're thrilled to join forces with Stellar," said Chi Zhang, CEO and Co-Founder of ZettaBlock. "This collaboration mirrors our mutual dedication to unlocking the full potential of blockchain data for everyone. We're excited to see the innovative applications that developers on Stellar will create using our comprehensive data platform." Get Started with ZettaBlock and Stellar: Build powerful, data-driven applications on Stellar using ZettaBlock's advanced tools, or discover how our integration can revolutionize your business. Visit app.zettablock.com to get started, or zettablock.com to learn more. app.zettablock.com app.zettablock.com zettablock.com zettablock.com About ZettaBlock ZettaBlock is an institutional-grade, full-stack Web3 data platform for indexing, querying, and analyzing across 12+ blockchains and 500+ datasets. Our platform makes Web3 data accessible and accelerates the development of scalable Web3 applications with real-time data. Swiftly generate custom GraphQL or REST APIs from SQL queries and incorporate your private off-chain data, empowering your applications with unparalleled scalability and flexibility. Follow ZettaBlock on Twitter and LinkedIn . Twitter Twitter LinkedIn LinkedIn About Stellar Development Foundation The Stellar Development Foundation (SDF) is a non-profit organization that supports the development and growth of Stellar, an open-source network that connects the world’s financial infrastructure. Founded in 2014, the Foundation helps maintain the Stellar codebase, supports the technical and business communities building on the network, and serves as a voice to regulators and institutions. The Foundation seeks to create equitable access to the global financial system, using the Stellar network to unlock the world’s economic potential through blockchain technology. For more information, visit stellar.org/foundation . stellar.org/foundation stellar.org/foundation This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

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