Business Software for SQL

Gemma represents a collection of cutting-edge, lightweight open models that are built upon the same research and technology underlying the Gemini models. Created by Google DeepMind alongside various teams at Google, the inspiration for Gemma comes from the Latin word "gemma," which translates to "precious stone." In addition to providing our model weights, we are also offering tools aimed at promoting developer creativity, encouraging collaboration, and ensuring the ethical application of Gemma models. Sharing key technical and infrastructural elements with Gemini, which stands as our most advanced AI model currently accessible, Gemma 2B and 7B excel in performance within their weight categories when compared to other open models. Furthermore, these models can conveniently operate on a developer's laptop or desktop, demonstrating their versatility. Impressively, Gemma not only outperforms significantly larger models on crucial benchmarks but also maintains our strict criteria for delivering safe and responsible outputs, making it a valuable asset for developers.

Serverless computing is particularly well-suited for applications that experience fluctuating loads. The automation of storage scaling, query execution, and backup processes simplifies management significantly. With serverless architecture, the service API's compatibility enables seamless integration with AWS SDKs across various programming languages such as Java, JavaScript, Node.js, .NET, PHP, Python, and Ruby. YDB is strategically hosted across three availability zones, ensuring continued availability even in the event of a node or zone failure. In situations where hardware or a data center encounters issues, the system is designed to recover automatically and maintain operational continuity. YDB is optimized for high-performance environments, capable of handling hundreds of thousands of transactions each second while keeping latency minimal. Additionally, the architecture has been specifically developed to support the management of vast data volumes, accommodating hundreds of petabytes efficiently. This robust design makes it an exceptional choice for businesses requiring reliability and speed in their data processing needs.

Authenticate users securely using SSO or SAML providers and exercise precise control over permissions for any application with sophisticated, tailored options. By deploying on-premise, you can take advantage of our rapid development tools, all while ensuring that your data remains securely within your own network. Whether for customer interactions or internal operations, ensure that your onboarding processes are perfectly tailored to your needs. You can easily integrate with your preferred services or manage everything seamlessly within Abstra. Eliminate tedious, repetitive tasks by implementing automation for various workflows. Utilize dynamic forms and workflows to enhance the processes of gathering information, sending reminders, and handling transactions. By automating your reconciliation workflow, you can save valuable time and ensure the quality and transparency of your data, which is crucial for any organization. This streamlined approach allows you to focus on strategic initiatives rather than getting bogged down by administrative duties.

Hanabi.rest is an innovative platform that leverages AI to facilitate the creation of APIs. It provides the ability to develop multi-runtime APIs that adhere to web standards efficiently. Users can work in an interactive web editor while the platform generates compatible code for environments such as Cloudflare, Fastly, Deno, Bun, Lagon, AWS, or Node.js. You can effortlessly build a REST API from natural language descriptions and screenshots; once created, it can be deployed on Cloudflare Workers for immediate global access. This platform not only transforms natural language and visual input into functional REST APIs but also offers a live API editor where you can safely test database connectivity and API endpoints within a secure sandbox environment. Created APIs can be shared through unique URLs, and publicly available APIs allow for forking and enhancements driven by additional natural language input. Moreover, users can export their APIs locally via CLI commands, streamlining the setup for any development and deployment needs. By simply importing the npm package suited to your working environment, the necessary type definitions will be downloaded automatically, ensuring a seamless integration into your projects. This makes Hanabi.rest a versatile tool for developers looking to simplify and expedite the API creation process.

SecureFlag provides a practical training experience in authentic development settings, catering specifically to the unique training requirements of enterprises. Supporting over 45 technologies and addressing more than 150 types of vulnerabilities, each session takes place in a fully equipped development environment. Given that more than 70% of vulnerabilities emerge during the development phase, it is essential to prioritize the creation of secure software. SecureFlag has transformed the landscape of secure coding education significantly. With immersive hands-on labs, participants gain experience in virtual environments, utilizing familiar tools and platforms. This approach enables learners to actively identify and address common security challenges through practical engagement rather than passive observation. The labs operate in genuine, virtualized settings, ensuring that participants are accustomed to the tools they would typically employ in their professional roles. Additionally, fostering a spirit of friendly competition can enhance engagement within your organization’s developer community and encourage ongoing learning. Such interactive training not only builds skills but also strengthens team collaboration in tackling security issues.

The Gemma family consists of advanced, lightweight models developed using the same innovative research and technology as the Gemini models. These cutting-edge models are equipped with robust security features that promote responsible and trustworthy AI applications, achieved through carefully curated data sets and thorough refinements. Notably, Gemma models excel in their various sizes—2B, 7B, 9B, and 27B—often exceeding the performance of some larger open models. With the introduction of Keras 3.0, users can experience effortless integration with JAX, TensorFlow, and PyTorch, providing flexibility in framework selection based on specific tasks. Designed for peak performance and remarkable efficiency, Gemma 2 is specifically optimized for rapid inference across a range of hardware platforms. Furthermore, the Gemma family includes diverse models that cater to distinct use cases, ensuring they adapt effectively to user requirements. These lightweight language models feature a decoder and have been trained on an extensive array of textual data, programming code, and mathematical concepts, which enhances their versatility and utility in various applications.

Scale from zero to millions of events per second effortlessly. Arroyo is delivered as a single, compact binary, allowing for local development on MacOS or Linux, and seamless deployment to production environments using Docker or Kubernetes. As a pioneering stream processing engine, Arroyo has been specifically designed to simplify real-time processing, making it more accessible than traditional batch processing. Its architecture empowers anyone with SQL knowledge to create dependable, efficient, and accurate streaming pipelines. Data scientists and engineers can independently develop comprehensive real-time applications, models, and dashboards without needing a specialized team of streaming professionals. By employing SQL, users can transform, filter, aggregate, and join data streams, all while achieving sub-second response times. Your streaming pipelines should remain stable and not trigger alerts simply because Kubernetes has chosen to reschedule your pods. Built for modern, elastic cloud infrastructures, Arroyo supports everything from straightforward container runtimes like Fargate to complex, distributed setups on Kubernetes, ensuring versatility and robust performance across various environments. This innovative approach to stream processing significantly enhances the ability to manage data flows in real-time applications.

Manage and oversee all operations of your data pipelines without requiring any code modifications. Keep an eye on data flows and pipeline activities to proactively avert outages and swiftly diagnose problems. Enhance the efficiency of pipeline executions and job functionalities to cut expenses while adhering to service level agreements. Expedite code rollouts and platform enhancements while ensuring both reliability and performance remain intact. Conduct data and performance evaluations concurrently with pipeline operations, including pre-execution checks on input data. Implement automatic preemptions of pipeline executions when necessary. The definity solution alleviates the workload of establishing comprehensive end-to-end coverage, ensuring protection throughout every phase and aspect. By transitioning observability to the post-production stage, definity enhances ubiquity, broadens coverage, and minimizes manual intervention. Each definity agent operates seamlessly with every pipeline, leaving no trace behind. Gain a comprehensive perspective on data, pipelines, infrastructure, lineage, and code for all data assets, allowing for real-time detection and the avoidance of asynchronous verifications. Additionally, it can autonomously preempt executions based on input evaluations, providing an extra layer of oversight.

Organizations focused on privacy collaborate with Decentriq to ensure robust data protection. Utilizing cutting-edge encryption and privacy-enhancing technologies, including synthetic data, differential privacy, and confidential computing, you retain complete control over your data at all times. The implementation of end-to-end encryption guarantees that your data remains confidential from all external parties. Importantly, Decentriq is unable to view or access your data directly. Furthermore, remote attestation provides assurance that your information is securely encrypted and that only authorized analyses are conducted. The platform is built in partnership with top-tier hardware and infrastructure providers, ensuring optimal performance. It is specifically designed to accommodate even the most sophisticated AI and machine learning models, keeping your data secure regardless of the complexities involved. With processing speeds that rival traditional cloud solutions, you can enjoy both scalability and superior data protection. Additionally, our expanding network of data connectors facilitates more efficient workflows across various leading data platforms, enhancing overall productivity.

Actian Ingres is a highly dependable SQL-standard transactional database known for its exceptional reliability and performance. Now, it has evolved into a hybrid database that seamlessly integrates transactional and analytical processing, boasting the remarkable X100 analytics engine. By supporting both row-based and columnar storage formats, Ingres enables organizations to conduct transaction processing and operational analytics within a single platform efficiently. This solution is recognized as the most reliable transactional database in the industry, offering a low total cost of ownership alongside round-the-clock global support and outstanding customer satisfaction. With a solid history of success, it underpins thousands of enterprises that manage billions of transactions across years of updates and migrations, ensuring that businesses can rely on it for their critical operations. Its continuous innovation and commitment to excellence solidify its position as a leader in the database market.

Maximize your efficiency by utilizing data effectively. Seamlessly connect to all your data sources and generate optimal SQL instantly for rapid access to information. Even if you're not well-versed in SQL, you can retrieve information immediately without needing to write any queries. Utilize natural language to create high-performance SQL for your complex queries, fix errors, and receive AI-driven recommendations to enhance SQL performance. The AI SQL editor allows developers to craft intricate SQL queries quickly and accurately, thereby saving time and boosting development efficiency. Simply input the names of the tables and columns, and the system will automatically manage the configuration of types, passwords, and comments, potentially reducing your time spent by up to 90%. It supports data import and export in various formats, including CSV, XLSX, XLS, and SQL, making it simple to facilitate data exchange, backup, and migration. Additionally, it enables smooth data transfers between different databases or via cloud services, acting as a reliable backup and recovery solution that minimizes data loss and downtime during migrations, ensuring that your operations continue to run smoothly. Moreover, this solution not only enhances productivity but also allows for greater flexibility and control over your data management processes.

Achieve flawless order fulfillment with Rabot, ensuring every single order reaches 100% accuracy. By leveraging real-time data from your warehouse, Rabot provides actionable insights that facilitate scaling your operations. Pack stations often operate like black boxes, but with Rabot’s Vision AI, Staci USA can gain the necessary visibility to digitize quality assurance and maintain an impressive 99% accuracy across all orders. When you lack comprehensive visibility into the daily functions of your packing stations, you risk leaving critical aspects to chance. Rabot’s Vision AI platform harnesses live camera feeds and integrates real-time data from your ecosystem software, significantly enhancing packing performance. By connecting to your warehouse management system (WMS), receiving real-time chat alerts, or utilizing our API, you can access a wealth of information seamlessly. We are dedicated to creating a connected ecosystem that centralizes all your data for easy access. With AI-driven devices and purpose-built user interfaces working together, your team can operate more efficiently than ever. Rabot stands out as the sole platform that merges your existing tools and workflows with advanced AI technology, delivering genuine efficiencies that can transform your business operations. The future of order fulfillment lies in the integration of innovative technology and streamlined processes, and Rabot is leading the way.

OceanBase simplifies the intricacies associated with traditional sharding databases, allowing for seamless scaling of your database to accommodate increasing workloads, whether that be through horizontal, vertical, or tenant-level adjustments. This capability supports on-the-fly scaling and ensures linear performance enhancement without experiencing downtime or requiring application modifications in high-concurrency situations, thereby guaranteeing faster and more dependable responses for performance-sensitive critical tasks. It is designed to empower mission-critical workloads and performance-driven applications across both OLTP and OLAP environments, all while upholding complete MySQL compatibility. With a commitment to 100% ACID compliance, it inherently supports distributed transactions along with multi-replica strong synchronization, leveraging Paxos protocols. Users can expect outstanding query performance that is essential for mission-critical and time-sensitive operations. Furthermore, this architecture effectively eliminates downtime, ensuring that your vital workloads remain consistently accessible and operational. Ultimately, OceanBase stands as a robust solution for businesses looking to enhance their database performance and reliability.

PromptQL redefines enterprise AI by delivering reasoning systems that achieve near-100% accuracy and continuous learning. Its proprietary architecture allows AI to understand the full depth of a company’s data, business logic, and internal lexicon — bridging the critical “context gap” that causes 95% of enterprise AI initiatives to fail. Through AI Analyst and AI Engineer modules, organizations can automate complex decision-making, analytics, and development tasks with human-like precision. PromptQL’s self-improving knowledge layer creates an “accuracy flywheel,” where AI learns dynamically from every user interaction and feedback loop. With onboarding and full deployment in under two weeks, enterprises gain immediate value without lengthy data transformations. Trusted by leaders in fintech, consumer tech, and retail, PromptQL replaces unreliable automation with transparent, high-confidence AI performance. It integrates seamlessly with existing data warehouses, APIs, and cloud environments, accelerating the journey from insight to action. As a result, PromptQL helps enterprises build AI that’s explainable, adaptive, and permanently aligned with their business logic.

The Microsoft Intelligent Data Platform serves as a cohesive data and AI solution that empowers organizations to quickly adapt, infuse intelligence into their applications, and derive predictive insights. By harmonizing databases, analytics, and governance, this platform allows businesses to focus more on creating value instead of managing their data infrastructure. It ensures smooth data integration and offers real-time business intelligence, which supports effective decision-making and drives innovation. By dismantling data silos, organizations can gain immediate insights while maintaining the essential data governance needed for secure operations. Additionally, the platform enhances innovation, boosts productivity through automation and AI, and increases agility by forecasting changes and refining decision-making processes. Security is also a top priority, as the platform provides robust protection throughout the data lifecycle, safeguarding both hybrid and multi-cloud environments. Ultimately, this comprehensive approach not only streamlines data management but also cultivates a more informed and responsive organizational culture.

The ibi Open Data Hub for Mainframe offers immediate access to mainframe data, facilitating smooth integration with a variety of business intelligence applications. By keeping data on the mainframe, it guarantees adherence to security measures and regulatory requirements. The platform minimizes the necessity for custom SQL queries, boosting productivity and enabling quicker, well-informed decisions. Leveraging zIIP specialty engines allows for economical data access by shifting workloads away from general-purpose processors. This innovative solution equips organizations to quickly adapt to market changes and customer needs by delivering thorough and current business data. By streamlining data access without the burden of custom SQL queries, users can quickly retrieve and analyze information, ensuring a swifter decision-making process. Furthermore, real-time access to mainframe data enhances the ability to generate actionable insights, allowing for timely and strategic business decisions.

Zus Health presents an advanced shared health data platform that aims to enhance healthcare data interoperability by delivering user-friendly patient information precisely when it’s needed. Their solution is designed to be multi-tenant, scalable, and adaptable to meet the diverse requirements of various organizations. Utilizing a HIPAA-compliant FHIR-native data store, it features comprehensive provenance and a terminology service, which guarantees secure sharing and access to data across different tenants. Zus holds a SOC2 Type 2 certification, underscoring their commitment to high-level security practices with a focus on patient welfare. The platform also takes advantage of immediate connections to external networks, fostering collaborative, real-time patient care through two-way integration with national data resources. This not only streamlines the ingestion and distribution of patient data but also enhances care coordination efficiently. Furthermore, Zus offers a specialized API that allows organizations to interact directly with modern JSON via FHIR, making integration even easier for developers and healthcare providers alike. By prioritizing these features, Zus Health positions itself as a leader in facilitating seamless healthcare communication and operational efficiency.

Nextdata is an innovative operating system for data meshes that aims to decentralize the management of data, empowering organizations to effectively create, share, and oversee data products across diverse stacks and formats. By packaging data, metadata, code, and policies into versatile containers, it streamlines the data supply chain, guaranteeing that data remains useful, secure, and easily discoverable. The platform includes built-in automated policy enforcement as code, which consistently monitors and upholds data quality and compliance standards. It is designed to integrate flawlessly with existing data architectures, enabling users to configure and provision data products according to their requirements. Supporting the processing of data from any source and in any format, Nextdata facilitates advanced analytics, machine learning, and generative AI applications. Furthermore, it automatically generates and updates real-time metadata and semantic models throughout the lifecycle of the data product, significantly improving both discoverability and usability. By doing so, Nextdata not only simplifies complex data interactions but also enhances collaborative efforts within organizations, fostering a more data-driven culture.

SQL Notebooks enable developers to seamlessly blend Markdown with SQL to generate interactive HTML5 reports. They feature a fast and contemporary HTML5 interface that facilitates real-time queries of data sources. Users can craft stunning, live-updating SQL notebooks, easily manage version control for their code, and create static snapshots for sharing with teammates lacking database access. Available in QStudio Version 4, which is a desktop SQL client focused on local markdown file editing, and Pulse Version 3, a collaborative team server accessible online, SQL Notebooks cater to various user needs. To assist newcomers, a collection of example notebooks has been developed in partnership with prominent community contributors; these examples are static snapshots with sample data, and the original markdown along with most of the necessary data for recreation can be found on GitHub. Additionally, these resources not only streamline the learning process but also inspire users to innovate and create their own unique projects.

Gemini 2.0 Flash-Lite represents the newest AI model from Google DeepMind, engineered to deliver an affordable alternative while maintaining high performance standards. As the most budget-friendly option within the Gemini 2.0 range, Flash-Lite is specifically designed for developers and enterprises in search of efficient AI functions without breaking the bank. This model accommodates multimodal inputs and boasts an impressive context window of one million tokens, which enhances its versatility for numerous applications. Currently, Flash-Lite is accessible in public preview, inviting users to investigate its capabilities for elevating their AI-focused initiatives. This initiative not only showcases innovative technology but also encourages feedback to refine its features further.

Gemini 2.0 Pro stands as the pinnacle of Google DeepMind's AI advancements, engineered to master intricate tasks like programming and complex problem resolution. As it undergoes experimental testing, this model boasts an impressive context window of two million tokens, allowing for the efficient processing and analysis of extensive data sets. One of its most remarkable attributes is its ability to integrate effortlessly with external tools such as Google Search and code execution platforms, which significantly boosts its capacity to deliver precise and thorough answers. This innovative model signifies a major leap forward in artificial intelligence, equipping both developers and users with a formidable tool for addressing demanding challenges. Furthermore, its potential applications span various industries, making it a versatile asset in the evolving landscape of AI technology.

TROCCO is an all-in-one modern data platform designed to help users seamlessly integrate, transform, orchestrate, and manage data through a unified interface. It boasts an extensive array of connectors that encompass advertising platforms such as Google Ads and Facebook Ads, cloud services like AWS Cost Explorer and Google Analytics 4, as well as various databases including MySQL and PostgreSQL, and data warehouses such as Amazon Redshift and Google BigQuery. One of its standout features is Managed ETL, which simplifies the data import process by allowing bulk ingestion of data sources and offers centralized management for ETL configurations, thereby removing the necessity for individual setup. Furthermore, TROCCO includes a data catalog that automatically collects metadata from data analysis infrastructure, creating a detailed catalog that enhances data accessibility and usage. Users have the ability to design workflows that enable them to organize a sequence of tasks, establishing an efficient order and combination to optimize data processing. This capability allows for increased productivity and ensures that users can better capitalize on their data resources.

ERNIE X1 represents a sophisticated conversational AI model created by Baidu within their ERNIE (Enhanced Representation through Knowledge Integration) lineup. This iteration surpasses earlier versions by enhancing its efficiency in comprehending and producing responses that closely resemble human interaction. Utilizing state-of-the-art machine learning methodologies, ERNIE X1 adeptly manages intricate inquiries and expands its capabilities to include not only text processing but also image generation and multimodal communication. Its applications are widespread in the realm of natural language processing, including chatbots, virtual assistants, and automation in enterprises, leading to notable advancements in precision, contextual awareness, and overall response excellence. The versatility of ERNIE X1 makes it an invaluable tool in various industries, reflecting the continuous evolution of AI technology.

FairCom MQ merges the advantages of an MQTT broker with the dependability of a dedicated embedded database, ensuring that data is transferred securely between publishers and subscribers through its robust persistence layer. The platform's no-code configuration features simplify app development and facilitate seamless communication among IoT devices. By utilizing FairCom MQ, users can effortlessly gather, push, and pull data as needed, empowering them to manage their information more effectively. Additionally, the messaging systems allow for the integration of new processing capabilities without disrupting existing setups, ensuring that data can be routed efficiently. With its embedded database and store-and-forward functionalities, FairCom MQ guarantees message delivery even during device outages, ensuring that no critical information is ever lost. The inclusion of parallel processing enhances real-time monitoring and notifications, thus eliminating bottlenecks and improving decision-making across applications. Furthermore, our user-friendly plug-and-play broker can be easily operated through straightforward JSON configurations, making it accessible for users of all technical backgrounds. Ultimately, FairCom MQ stands out as a powerful solution for modern data management needs.

FairCom RTG transforms COBOL and Btrieve applications by effectively substituting their original file systems with FairCom's sophisticated database engine, which boosts reliability, scalability, and performance while keeping the existing code intact. This solution provides real-time read/write capabilities to live data via modern APIs such as JSON and SQL, streamlining business analytics and reporting without necessitating extra coding efforts. Enhanced features like hot backups, automatic recovery, and ACID-compliant transactions significantly bolster data integrity and system uptime. Furthermore, FairCom RTG accommodates vertical scaling for thousands of users and horizontal scaling through replication to enhance reporting, failover, and overall availability. The newest release showcases a JSON DB API, simplifying the management of COBOL data with straightforward JSON commands, along with Hot Alter Table functionality that allows immediate schema changes without the need to rewrite existing records. In doing so, it provides businesses with the tools they need to adapt swiftly to changing requirements and maintain optimal performance.