Business Software for SQL

Mage is a powerful tool designed to convert your data into actionable predictions effortlessly. You can construct, train, and launch predictive models in just a matter of minutes, without needing any prior AI expertise. Boost user engagement by effectively ranking content on your users' home feeds. Enhance conversion rates by displaying the most pertinent products tailored to individual users. Improve user retention by forecasting which users might discontinue using your application. Additionally, facilitate better conversions by effectively matching users within a marketplace. The foundation of successful AI lies in the quality of data, and Mage is equipped to assist you throughout this journey, providing valuable suggestions to refine your data and elevate your expertise in AI. Understanding AI and its predictions can often be a complex task, but Mage demystifies the process, offering detailed explanations of each metric to help you grasp how your AI model operates. With just a few lines of code, you can receive real-time predictions and seamlessly integrate your AI model into any application, making the entire process not only efficient but also accessible for everyone. This comprehensive approach ensures that you are not only utilizing AI effectively but also gaining insights that can drive your business forward.

RisingWave is an open-source distributed SQL streaming database released under Apache 2.0 license. RisingWave is PostgreSQL-compatible, and allows users to process streaming data using standard SQL. Written in Rust and designed with cloud-native architecture, RisingWave can achieve 10X better performance and cost efficiency compared to conventional stream processing systems. RisingWave Cloud is a fully managed cloud service. Users can leverage RisingWave Cloud to process streaming data and serve analytical queries at ease.

LABEL MATRIX's wizards and intuitive interface make it easy to quickly create labels. These wizards can be used to do everything, from choosing a printer to setting up a database to creating 2D barcodes. Counters for serialization and incrementing values simplify the label printing process. Date offsets make it easy to create precise best-by dates. You can create formulas to manipulate your data and print exactly what you need. You can deliver interactive marketing content to your customers by including a QR code on every label you send. LABEL MATRIX PowerPro allows you to add QR codes to existing label designs.

Qwen-7B is the 7-billion parameter iteration of Alibaba Cloud's Qwen language model series, also known as Tongyi Qianwen. This large language model utilizes a Transformer architecture and has been pretrained on an extensive dataset comprising web texts, books, code, and more. Furthermore, we introduced Qwen-7B-Chat, an AI assistant that builds upon the pretrained Qwen-7B model and incorporates advanced alignment techniques. The Qwen-7B series boasts several notable features: It has been trained on a premium dataset, with over 2.2 trillion tokens sourced from a self-assembled collection of high-quality texts and codes across various domains, encompassing both general and specialized knowledge. Additionally, our model demonstrates exceptional performance, surpassing competitors of similar size on numerous benchmark datasets that assess capabilities in natural language understanding, mathematics, and coding tasks. This positions Qwen-7B as a leading choice in the realm of AI language models. Overall, its sophisticated training and robust design contribute to its impressive versatility and effectiveness.

Trino is a remarkably fast query engine designed to operate at exceptional speeds. It serves as a high-performance, distributed SQL query engine tailored for big data analytics, enabling users to delve into their vast data environments. Constructed for optimal efficiency, Trino excels in low-latency analytics and is extensively utilized by some of the largest enterprises globally to perform queries on exabyte-scale data lakes and enormous data warehouses. It accommodates a variety of scenarios, including interactive ad-hoc analytics, extensive batch queries spanning several hours, and high-throughput applications that require rapid sub-second query responses. Trino adheres to ANSI SQL standards, making it compatible with popular business intelligence tools like R, Tableau, Power BI, and Superset. Moreover, it allows direct querying of data from various sources such as Hadoop, S3, Cassandra, and MySQL, eliminating the need for cumbersome, time-consuming, and error-prone data copying processes. This capability empowers users to access and analyze data from multiple systems seamlessly within a single query. Such versatility makes Trino a powerful asset in today's data-driven landscape.

Iceberg is an advanced format designed for managing extensive analytical tables efficiently. It combines the dependability and ease of SQL tables with the capabilities required for big data, enabling multiple engines such as Spark, Trino, Flink, Presto, Hive, and Impala to access and manipulate the same tables concurrently without issues. The format allows for versatile SQL operations to incorporate new data, modify existing records, and execute precise deletions. Additionally, Iceberg can optimize read performance by eagerly rewriting data files or utilize delete deltas to facilitate quicker updates. It also streamlines the complex and often error-prone process of generating partition values for table rows while automatically bypassing unnecessary partitions and files. Fast queries do not require extra filtering, and the structure of the table can be adjusted dynamically as data and query patterns evolve, ensuring efficiency and adaptability in data management. This adaptability makes Iceberg an essential tool in modern data workflows.

Peliqan.io provides a data platform that is all-in-one for business teams, IT service providers, startups and scale-ups. No data engineer required. Connect to databases, data warehouses, and SaaS applications. In a spreadsheet interface, you can explore and combine data. Business users can combine multiple data sources, clean data, edit personal copies, and apply transformations. Power users can use SQL on anything, and developers can use Low-code to create interactive data apps, implement writing backs and apply machine intelligence.

Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists and business users alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others. Zerve makes advanced data work accessible, durable, and deployable from day one, starting with the messy, real-world data most projects begin with. At the heart of Zerve is a new way for humans and AI agents to work together. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents can assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. With Zerve, you always have an expert data scientist at your side, guiding decisions, suggesting next steps, and taking action. Unlike traditional data notebooks, workflows in Zerve are reproducible and stable. Users can work across Python, SQL, and R in a single workspace, connect directly to databases, data lakes, and warehouses, and integrate with Git for version control. The built-in distributed computing engine powers massively parallel execution for large-scale analysis, simulations, and AI workloads, with multi-agent orchestration coordinating complex pipelines behind the scenes. Zerve can be used as SaaS, self-hosted, or even on-premise for regulated environments.

Basedash is an AI-powered business intelligence platform designed to help organizations analyze data, build dashboards, and answer business questions through natural language prompts. Instead of requiring users to manually create reports or write complex SQL queries, the platform automatically generates charts, dashboards, and analytics using trusted business metrics. Basedash connects to cloud data warehouses as well as hundreds of popular business applications, bringing operational, financial, marketing, and customer data together into one reporting environment. Its AI-native architecture allows users to ask questions about revenue, customer acquisition, retention, churn, and other key performance indicators while receiving instant visual insights. The platform's semantic layer ensures that important business metrics are defined once and consistently reused across dashboards and reports. Built-in automation capabilities help organizations generate recurring reports, monitor important trends, and streamline data-driven workflows. Enterprise-grade security includes encryption, SOC 2 Type II compliance, role-based permissions, SSO, SCIM provisioning, and deployment options for both cloud and self-hosted environments. Basedash also prevents customer data from being used to train AI models, helping organizations maintain greater control over sensitive information. By combining AI-assisted analytics, reliable metrics, and broad integration capabilities, Basedash enables modern teams to make faster, more confident business decisions.

Zed is an advanced code editor crafted for seamless collaboration between humans and AI, emphasizing high performance. Developed entirely in Rust to maximize the efficiency of multiple CPU cores and GPU resources, it allows for the integration of emerging LLMs into your coding workflow for tasks such as code generation, transformation, and analysis. The platform facilitates real-time communication with team members, enabling collaborative note-taking, screen sharing, and project management. With its multibuffer system, users can edit selected excerpts from the entire codebase on a single interface. It also supports inline code evaluation through Jupyter runtimes, allowing for joint notebook editing. Zed is compatible with numerous programming languages, thanks to Tree-sitter, WebAssembly, and the Language Server Protocol. Its quick native terminal is integrated with Zed's language-aware task runner and AI features, enhancing productivity. The editor offers first-class modal editing through Vim bindings, incorporating functionalities such as text objects and marks for efficient navigation. Built by a diverse global community of thousands of developers, Zed encourages users to enhance their experience with a wide array of extensions that expand language capabilities, provide various themes, and more. Furthermore, its user-friendly design aims to streamline development workflows, making it an ideal choice for programmers looking to elevate their coding efficiency.

Lapce is an innovative, open-source code editor designed to provide a swift and responsive experience, especially beneficial for developers tackling extensive projects or intricate codebases. Developed using Rust, Lapce takes advantage of native development's performance benefits to ensure a seamless editing experience that minimizes delays. The editor boasts a sleek, contemporary interface alongside advanced features like multi-caret editing, split views, and integrated terminal capabilities. By incorporating support for the Language Server Protocol (LSP), Lapce delivers accurate autocompletion, syntax highlighting, and efficient code navigation for a variety of programming languages, ultimately boosting developer productivity. Its high degree of extensibility, comprehensive plugin support, and emphasis on performance position Lapce as an optimal choice for developers seeking a lightweight yet robust editor that effectively combines simplicity with functionality, making it appealing to both novices and experienced coders alike. Furthermore, Lapce's commitment to community-driven development ensures that it continues to evolve, addressing the needs of users and keeping pace with the ever-changing landscape of software development.

Qwen2.5 represents a state-of-the-art multimodal AI system that aims to deliver highly precise and context-sensitive outputs for a diverse array of uses. This model enhances the functionalities of earlier versions by merging advanced natural language comprehension with improved reasoning abilities, creativity, and the capacity to process multiple types of media. Qwen2.5 can effortlessly analyze and produce text, interpret visual content, and engage with intricate datasets, allowing it to provide accurate solutions promptly. Its design prioritizes adaptability, excelling in areas such as personalized support, comprehensive data analysis, innovative content creation, and scholarly research, thereby serving as an invaluable resource for both professionals and casual users. Furthermore, the model is crafted with a focus on user engagement, emphasizing principles of transparency, efficiency, and adherence to ethical AI standards, which contributes to a positive user experience.

Jet Profiler for MySQL 4 serves as a real-time performance and diagnostics tool specifically designed for the MySQL database server. It emphasizes key aspects such as queries, tables, and users, enabling you to swiftly address performance issues within your code by identifying the most frequent queries, the tables that are accessed the most, and the users who are most active. With data being gathered, analyzed, and presented in real-time through diagrams, pie charts, and tables, the graphical interface simplifies the process of drilling down and navigating through essential information. Most of the profiling occurs within the Jet Profiler application rather than on the database server itself, resulting in a minimal performance impact, typically around 1%. Moreover, it is compatible with all MySQL versions and requires no modifications to the database server, nor does it necessitate the use of agents or separate services. As a desktop application, Jet Profiler operates directly on your computer; you can launch it, connect to a server, and with just a click of the record button, you can analyze the results within minutes, making it a highly efficient tool for database management and optimization. Ultimately, its ease of use and powerful features make it an invaluable asset for anyone working with MySQL databases.

Tülu 3 is a cutting-edge language model created by the Allen Institute for AI (Ai2) that aims to improve proficiency in fields like knowledge, reasoning, mathematics, coding, and safety. It is based on the Llama 3 Base and undergoes a detailed four-stage post-training regimen: careful prompt curation and synthesis, supervised fine-tuning on a wide array of prompts and completions, preference tuning utilizing both off- and on-policy data, and a unique reinforcement learning strategy that enhances targeted skills through measurable rewards. Notably, this open-source model sets itself apart by ensuring complete transparency, offering access to its training data, code, and evaluation tools, thus bridging the performance divide between open and proprietary fine-tuning techniques. Performance assessments reveal that Tülu 3 surpasses other models with comparable sizes, like Llama 3.1-Instruct and Qwen2.5-Instruct, across an array of benchmarks, highlighting its effectiveness. The continuous development of Tülu 3 signifies the commitment to advancing AI capabilities while promoting an open and accessible approach to technology.

Supaboard is an innovative business intelligence solution that leverages artificial intelligence to empower users to analyze their data and craft real-time dashboards simply by posing questions in everyday language. It allows for seamless one-click integration with more than 60 different data sources such as MySQL, PostgreSQL, Google Analytics, Shopify, Salesforce, and Notion, enabling users to harmonize their data effortlessly without complicated configurations. With pre-trained AI analysts tailored to specific industries, the platform automatically generates SQL and NoSQL queries, delivering quick insights through visual formats like charts, tables, and summaries. Users can easily create and customize dashboards by pinning their inquiries and adjusting the information presented according to various audience needs through filtered views. Supaboard prioritizes data security by only connecting with read-only permissions, retaining only schema metadata, and utilizing detailed access controls to safeguard information. Built with user-friendliness in mind, it significantly reduces operational complexity, allowing businesses to make informed decisions up to ten times faster, all without the necessity for coding skills or advanced data knowledge. Furthermore, this platform empowers teams to become more agile in their data-driven strategies, ultimately enhancing overall business performance.

GLM-5.1 represents the latest advancement in Z.ai’s GLM series, crafted as a cutting-edge, agent-focused AI model tailored for coding, reasoning, and managing long-term workflows. This iteration builds upon the framework of GLM-5, which employs a Mixture-of-Experts (MoE) architecture to achieve high performance without incurring excessive inference expenses, aligning with a larger initiative towards open-weight models that are accessible to developers. A significant emphasis of GLM-5.1 is on fostering agentic behavior, allowing it to plan, execute, and refine multi-step tasks instead of merely reacting to isolated prompts. Its capabilities are specifically engineered to manage intricate workflows, such as debugging code, exploring repositories, and performing sequential operations while maintaining context over time. In comparison to its predecessors, GLM-5.1 enhances reliability during lengthy interactions, ensuring coherence throughout extended sessions and minimizing failures in multi-step reasoning processes. Overall, this model signifies a leap forward in AI development, particularly in its ability to support complex task management seamlessly.

Cursor has introduced Composer 2.5, a next-generation AI coding assistant built to deliver stronger reasoning, better collaboration, and improved reliability during software development tasks. The upgraded model performs better on long-running coding workflows and can manage complicated instructions with greater consistency than earlier Composer versions. Cursor expanded the training process by scaling compute resources, generating more advanced reinforcement learning environments, and refining behavioral traits that improve the developer experience. One of the key innovations in Composer 2.5 is its targeted textual feedback system, which helps the model learn from localized mistakes inside long coding trajectories instead of relying only on broad reward signals. This training method allows the AI to improve coding style, communication quality, and tool usage accuracy in a more focused way. The company also increased the amount of synthetic coding data by 25 times compared to Composer 2, giving the model exposure to more difficult and realistic programming tasks. During development, the system demonstrated sophisticated reasoning abilities by uncovering hidden implementation details and reverse-engineering deleted functionality inside synthetic environments. Composer 2.5 additionally uses advanced distributed training methods such as Sharded Muon and dual mesh HSDP to optimize large-scale model training performance. Available directly inside Cursor, the model comes in both standard and fast variants with different pricing tiers designed for developers, teams, and enterprise-scale engineering workflows.

Etlworks is a cloud-first, all-to-any data integration platform. It scales with your business. It can connect to databases and business applications as well as structured, semi-structured and unstructured data of all types, shapes, and sizes. With an intuitive drag-and drop interface, scripting languages and SQL, you can quickly create, test and schedule complex data integration and automation scenarios. Etlworks supports real time change data capture (CDC), EDI transformations and many other data integration tasks. It works exactly as advertised.

Codacy is an end-to-end DevSecOps platform designed to enforce code quality, security, and compliance across modern development workflows. It integrates seamlessly with IDEs, repositories, and CI/CD pipelines to provide continuous analysis and real-time feedback. The platform performs static and dynamic testing, dependency scanning, and infrastructure checks to identify vulnerabilities early and throughout the software lifecycle. Codacy’s AI Guardrails feature ensures that both human-written and AI-generated code meet organizational standards by detecting risks and automatically fixing issues. It also offers automated pull request reviews, quality metrics, and test coverage tracking to improve development efficiency. Centralized policies allow organizations to maintain consistent standards across teams and projects. With support for multiple programming languages and easy integration into existing workflows, Codacy simplifies secure coding practices. It helps teams reduce manual review effort while improving code reliability and maintainability. By combining security, quality, and AI protection, Codacy empowers teams to ship faster with confidence.

TierDeveloper serves as a code generator for object-relational mapping within the .NET ecosystem, allowing users to seamlessly link business and data objects to relational tables while also enabling the integration of SQL and stored procedure calls directly within these objects, ultimately generating fully functional code in either C# or VB.NET. This tool significantly reduces development time, allowing tasks that might typically require weeks or months to be completed in mere days, and enhances overall code quality by producing standardized code applicable throughout the entire application and even across multiple projects. While TierDeveloper has traditionally specialized in the creation of business and data objects, developers have had to manually construct the graphical user interface (GUI) and invoke these objects from there due to the highly customized nature of GUIs, which made them less suitable for straightforward code generation. However, with the advent of .NET 2.0 and its Custom Controls Framework, rapid GUI development has become a viable option, enabling TierDeveloper to facilitate swift GUI design that integrates smoothly with the automatically generated business and data objects. Consequently, developers can now enjoy a more cohesive and efficient workflow, significantly enhancing productivity and reducing the complexity of application development.

dbForge Edge is the newest Devart product - the multidatabase software solution covers all database-related jobs, allowing its users to accelerate the tasks' completion, save costs, and improve overall productivity. A set of powerful features applies to all most popular database management systems - MySQL and MariaDB, SQL Server, Oracle, and PostgreSQL. Notice the most helpful features of dbForge Edge: Database design & development. Data and schema management. Data analysis. Reporting. Database administration.

Snappy Tick Source Edition (SAST) is a powerful tool designed for reviewing source code to uncover vulnerabilities present in the codebase. It offers both Static Code Analysis and Source Code Review functionalities. By implementing in-line auditing techniques, it effectively identifies the most critical security issues within applications and ensures that adequate security measures are in place. On the other hand, Snappy Tick Standard Edition (DAST) serves as a dynamic application security solution that facilitates both black box and grey box testing. It examines requests and responses to detect potential vulnerabilities by attempting to access various application components during runtime. Equipped with impressive features tailored for Snappy Tick, it can scan multiple programming languages with ease. Additionally, it provides comprehensive reporting that clearly outlines affected source files, specifies line numbers, and even details specific sections of code that require attention, ensuring that developers can address vulnerabilities efficiently. This holistic approach to security assessment makes Snappy Tick an invaluable asset for any development team.

DeepSource is a modern AI-driven code review and code quality platform built to help engineering teams deliver secure and maintainable software. The platform combines deterministic static analysis with intelligent AI agents to automatically review code changes across repositories. Developers can integrate DeepSource with popular version control systems such as GitHub, GitLab, Bitbucket, and Azure DevOps to analyze pull requests as they are created. During each review, the system scans code for potential bugs, security vulnerabilities, performance issues, and architectural problems. It provides inline feedback directly inside pull requests, allowing developers to resolve issues before merging code into production. DeepSource also offers automated patch suggestions through its Autofix feature, helping teams fix problems faster without interrupting development workflows. Security-focused capabilities include secrets detection, open-source dependency vulnerability scanning, and infrastructure-as-code configuration analysis. The platform tracks code coverage to highlight untested areas and ensures teams maintain testing standards before releasing updates. Compliance reporting aligned with major security frameworks helps organizations stay audit-ready. With automated insights and actionable feedback, DeepSource helps development teams improve code quality while accelerating software delivery.

Manage changes, tune queries and administer relational databases. Database professionals must reduce the time and effort required to manage and develop databases within their organization. IDERA's suite of top tools can help you manage and develop multiple databases platforms. Perform database administration. Automate complex database schema changes and manage them. Automate SQL query tuning. Create efficient SQL code

Traditional analytics only capture superficial signals, whereas Merico delves into code analysis to focus on what truly matters through comprehensive program evaluation. Measuring engineering performance presents significant challenges, and while a handful of companies attempt this, most rely on flawed and misleading indicators, overlooking valuable opportunities for recognition, growth, and advancement. Up to this point, the tools for analytics and evaluation have largely prioritized surface-level metrics to judge quality and productivity, a practice that developers recognize as inadequate. This insight is the driving force behind the creation of Merico. By offering commit-level analysis, teams gain crucial insights directly from their codebase, ensuring that the data remains accurate and unaffected by the pitfalls of process measurement. This direct connection to the code empowers developers to refine, prioritize, and evolve their work with precision. With Merico, teams can establish transparent shared objectives while effectively monitoring their progress, productivity, and quality through actionable benchmarks, paving the way for continuous improvement and success. Ultimately, Merico transforms the way engineering teams assess their performance, providing them with the tools they need to thrive in a complex development landscape.