Business Software for SQL

Evolve4 is a comprehensive enterprise resource planning solution designed with a focus on the operations of the food and beverage processing sector, enabling businesses to effectively oversee, assess, and manage all aspects of their operations through a single, customizable platform. By integrating extensive industry knowledge with cloud technology, it offers digital factory functionalities that encompass finance, commercial activities, distribution, warehousing, and logistics, ultimately moving away from traditional paper-based systems to support a fully digital factory environment. The platform prioritizes change management by harmonizing people, processes, and technology, employing a consultancy-driven strategy to uncover opportunities for process enhancements, minimize activities that do not add value, and achieve tangible results such as heightened efficiency and lower operational costs. Evolve4’s ERP solution is designed to seamlessly fit into current operational ecosystems, facilitating real-time oversight of critical functions while equipping users with the necessary tools to navigate intricate production settings, ensure quality control, and adhere to compliance standards. With its robust capabilities, Evolve4 empowers organizations to not only streamline their processes but also adapt to the ever-evolving demands of the industry.

Capital One Slingshot is a powerful solution for cloud data platform management and optimization, designed to aid organizations in enhancing their utilization of Snowflake and Databricks. By offering improved visibility into financial and computational expenditures, it facilitates continuous monitoring, dynamic rightsizing, and AI-driven suggestions that aim to eliminate waste and inefficiencies while boosting overall performance. The platform features detailed dashboards and reports that track costs, usage, and performance trends, and it enables the allocation of expenses to specific business units through custom tagging. Additionally, proactive alerts inform users of credit usage and unexpected cost increases. Slingshot's recommendation engine thoroughly assesses workloads to optimize warehouse sizes, proposes adjustments to schedules, and identifies inefficient queries through its Query Advisor, ultimately enhancing SQL performance. Furthermore, it automates the optimization of Databricks jobs by leveraging machine learning models and supports comprehensive management and governance through customizable workflows and controls, making it a versatile tool for modern data operations. The integration of these features empowers organizations to achieve greater efficiency and cost-effectiveness in their data management strategies.

RansomStop is an advanced tool that leverages AI to detect and respond to ransomware attacks, effectively halting the encryption of files in real time before it can inflict harm on business operations. This solution prioritizes the safeguarding of essential infrastructure, including web and application servers, SQL databases, domain controllers, NAS systems, hypervisors, and cloud storage, by evaluating factors such as file entropy, access behaviors, and metadata, allowing it to identify unauthorized encryption activities without depending on process intent or known signatures. Its design ensures resilience against sophisticated threats, including evasive techniques and “living-off-the-land” strategies commonly used by attackers. Upon identifying any ransomware-related activity, RansomStop is capable of swiftly disabling affected accounts, terminating harmful processes, and blocking the IP addresses of attackers, thus significantly reducing potential damage and minimizing operational disruptions without the need for human oversight. This proactive approach not only enhances security but also allows organizations to maintain business continuity in an increasingly hostile digital landscape.

Bun is a comprehensive toolkit for JavaScript, TypeScript, and JSX that functions as a single executable, merging a high-performance runtime, package manager, test runner, and bundler into a seamless alternative to Node.js, offering extensive compatibility and significantly lower startup times and memory consumption. Developed in Zig and utilizing Apple’s JavaScriptCore, Bun runs JavaScript and TypeScript files, scripts, and packages with performance levels that surpass those of conventional tools, while inherently supporting zero-config setups for TypeScript, JSX, and React. Its integrated package manager dramatically speeds up dependency installations, achieving up to 30 times faster than npm, and features capabilities such as workspaces, global caching, migration assistance, and dependency auditing. Additionally, Bun’s test runner, which is compatible with Jest, includes built-in coverage and supports concurrent test execution, while the bundler can handle TypeScript, JSX, CSS, and more without requiring any configuration, thus allowing for the creation of single-file executables effortlessly. The versatility of Bun makes it an appealing choice for developers seeking efficiency and simplicity in their workflows.

MoveMan Pro is an all-encompassing software solution specifically designed for removals and storage companies, seamlessly managing every aspect of operations from the initial inquiry to quoting, job organization, resource management, and invoicing, ultimately minimizing manual administrative tasks while enhancing overall efficiency. It features robust quoting capabilities that quickly generate branded PDFs and documents, an intuitive drag-and-drop job diary for effectively scheduling teams and vehicles, as well as integrated invoicing that connects effortlessly with accounting platforms like Sage, Xero, and QuickBooks, thereby reducing bookkeeping time and minimizing errors. Additionally, the software offers sophisticated resource management tools that include training and certification tracking, vehicle maintenance and defect monitoring, records for holidays and sickness, and utilization analytics. Furthermore, it provides adaptable storage billing options with various billing cycles, branch-specific container tracking, and automated reminders for invoicing, all aimed at improving cash flow and financial management. This comprehensive approach not only streamlines operations but also empowers businesses to make informed decisions and enhance overall productivity.

Hybrid data estates create silos, duplicate datasets, and “unknown” data flows. Teams lose time finding the right data, can’t trace lineage for audits, and take on risk when changes break downstream reports and apps. Rocket® DataEdge™ is a metadata-driven data intelligence, integration, and virtualization platform. It connects and delivers data across heterogeneous systems while adding business and technical context, lineage, and end-to-end visibility so teams can understand what data exists, where it’s used, and how it moves. Key capabilities: • Metadata capture and cataloging with glossary/tags/ownership • Lineage and impact visibility to troubleshoot and govern change • Seamless hybrid data integration plus virtual/federated access • Connectors/APIs for mainframe, distributed, and cloud sources/targets • Policy-driven security/governance controls across environments Outcome: faster time-to-data with fewer brittle pipelines, audit-ready visibility, and more trusted analytics/AI inputs.

GPT-5.3-Codex is a next-generation AI agent built to expand Codex beyond code writing into full-spectrum professional execution. It unifies advanced coding intelligence with reasoning, planning, and computer-use capabilities. The model delivers faster performance while handling more complex workflows across development environments. GPT-5.3-Codex can autonomously iterate on large projects while remaining interactive and steerable. It supports tasks such as debugging, deployment, performance optimization, and system monitoring. The model demonstrates state-of-the-art results across real-world coding benchmarks. It also excels at web development, generating production-ready applications from minimal prompts. GPT-5.3-Codex understands intent more effectively, producing stronger default designs and functionality. Its agentic nature allows it to operate like a collaborative teammate. This makes it suitable for both individual developers and large teams.

Strategy Mosaic serves as an AI-driven universal semantic data layer and analytics framework that integrates seamlessly with an organization's current data ecosystems, enabling the unification, regulation, and expedited access to business data for analytics, AI, and reporting without the need for expensive restructuring. This platform establishes a single source of truth, ensuring consistent business definitions, metrics, and security policies are maintained across various tools and data sources, thereby aligning data from numerous systems to provide reliable and comparable insights universally. With its AI-assisted data modeling feature, known as Mosaic Studio, the platform automates essential processes such as data preparation, cleansing, enrichment, and modeling, thereby significantly reducing the time and effort required to create robust data products and semantic models. Users benefit from universal connectors that facilitate access to governed data through SQL, REST, Python, or popular business intelligence and productivity applications like Power BI, Tableau, Excel, and Google Sheets. Additionally, an in-memory acceleration engine ensures rapid query performance across a wide array of data sources, enhancing the overall efficiency of data retrieval and analysis processes. This comprehensive approach empowers organizations to make data-driven decisions with confidence and speed.

Gemini 3.1 Pro represents the next evolution of Google’s Gemini model family, delivering enhanced reasoning and core intelligence for demanding tasks. Designed for situations where nuanced thinking is required, it significantly improves performance across logic-heavy and unfamiliar problem domains. Its verified 77.1% score on ARC-AGI-2 highlights its ability to solve entirely new reasoning patterns, marking a major leap over Gemini 3 Pro. Beyond benchmarks, the model translates advanced reasoning into practical use cases such as visual explanations, structured data synthesis, and creative generation. One standout capability includes generating lightweight, scalable animated SVG graphics directly from text prompts, suitable for production-ready web use. Gemini 3.1 Pro is available in preview for developers through the Gemini API, Google AI Studio, Gemini CLI, Antigravity, and Android Studio. Enterprises can access it through Gemini Enterprise Agent Platform and Gemini Enterprise environments. Consumers benefit through the Gemini app and NotebookLM, with higher usage limits for Google AI Pro and Ultra subscribers. The release aims to validate improvements while expanding into more ambitious agentic workflows before general availability. Gemini 3.1 Pro positions itself as a smarter, more capable foundation for complex, real-world problem solving across industries.

TalkBI is an innovative platform for conversational business intelligence that simplifies data analysis to the point where users can ask questions using natural language. By allowing users to interact with their databases in straightforward English, it delivers immediate insights and removes the necessity of crafting complex SQL queries or generating manual reports. Each user interaction builds on the last, fostering a dynamic and ongoing exploration of data that empowers teams to discover intricate patterns and metrics more effectively. The platform seamlessly integrates with popular SQL databases such as PostgreSQL and MySQL, automatically creating visual representations like charts, graphs, and dashboards that adjust according to user inquiries. With a strong focus on speed and user-friendliness, TalkBI seeks to eliminate the usual challenges tied to business intelligence tools, ensuring that insights are easily accessible to both technical and non-technical users alike. This makes it an ideal solution for organizations striving to enhance their data-driven decision-making processes.

Gemini 3.1 Flash-Lite represents Google’s newest addition to the Gemini 3 family, built specifically for speed and affordability at scale. Engineered for developers managing high-frequency workloads, the model balances performance and cost efficiency without sacrificing quality. It is competitively priced at $0.25 per million input tokens and $1.50 per million output tokens, making it accessible for large production deployments. Compared to Gemini 2.5 Flash, it delivers substantially faster responses, including a 2.5x improvement in time to first token and a 45% boost in output speed. Benchmark evaluations show strong results, with an Elo score of 1432 and leading scores in reasoning and multimodal understanding tests. The model rivals or surpasses similarly tiered competitors while even outperforming some previous-generation Gemini models. A key feature is its adjustable reasoning control, enabling developers to fine-tune how much computational “thinking” is applied to each request. This flexibility makes it ideal for both lightweight tasks like translation and more complex use cases such as dashboard generation or simulation design. Early enterprise adopters have praised its ability to follow instructions accurately while handling complex inputs efficiently. Gemini 3.1 Flash-Lite is currently rolling out in preview within Google AI Studio and Vertex AI for enterprise customers.

GPT-5.3 Instant represents a significant refinement of ChatGPT’s core conversational model, prioritizing smoother, more natural interactions. This update directly addresses user feedback about tone, unnecessary refusals, and overly defensive disclaimers. The model now provides more direct answers when safe to do so, minimizing conversational friction and reducing dead ends. It also demonstrates improved judgment when handling sensitive topics, offering balanced responses without moralizing preambles. When using web information, GPT-5.3 Instant better synthesizes search results with its internal knowledge, delivering concise and relevant insights instead of link-heavy summaries. Internal evaluations show meaningful reductions in hallucination rates, particularly in high-stakes domains such as medicine, law, and finance. The model is designed to feel consistent and familiar while offering noticeable capability upgrades. Writing performance has been enhanced, enabling richer storytelling and more expressive prose without sacrificing clarity. These improvements aim to make ChatGPT feel less mechanical and more intuitively helpful in everyday use. GPT-5.3 Instant is available across ChatGPT and through the API, with older versions remaining temporarily accessible before retirement.

GPT-5.4 Pro is a high-performance AI model introduced by OpenAI for users who require maximum capability when solving complex problems. It builds on earlier GPT models by integrating advanced reasoning, coding, and workflow automation into a single system. The model is designed to assist professionals with demanding tasks such as data analysis, financial modeling, document generation, and software development. GPT-5.4 Pro can interact directly with computers and applications, allowing AI agents to perform multi-step workflows across different tools and environments. Its extended context window supports up to one million tokens, enabling it to analyze large amounts of information while maintaining accuracy. The model also improves deep web research and long-form reasoning tasks. Developers benefit from improved tool usage and search capabilities that help agents select and operate external tools efficiently. GPT-5.4 Pro delivers stronger coding performance and faster iteration cycles for developers working on complex software projects. It also reduces token usage compared with earlier models, improving cost efficiency and speed. Overall, GPT-5.4 Pro is designed to support advanced professional workflows and AI-powered automation at scale.

GPT-5.4 Thinking is a specialized version of OpenAI’s GPT-5.4 model designed to deliver enhanced reasoning and structured problem-solving in ChatGPT. It integrates improvements in coding, professional knowledge work, and agent-based workflows into a single AI system. One of its key features is the ability to present a plan for its reasoning before generating a final answer. This allows users to review the direction of the response and make adjustments while the model is still working. By enabling this interactive process, GPT-5.4 Thinking helps produce more precise and relevant results. The model is particularly effective for tasks that require deep research or multi-step reasoning. It also maintains context across longer prompts and conversations, reducing confusion in complex discussions. GPT-5.4 Thinking improves how AI interacts with tools and software environments during problem-solving workflows. Its advanced reasoning capabilities allow it to handle analytical tasks with higher consistency and clarity. As a result, GPT-5.4 Thinking is designed to support professionals who need reliable AI assistance for complex work.

GPT-5.4 mini is an advanced AI model designed to provide a balance between high performance, speed, and cost efficiency. It is built to handle a wide range of tasks, including coding, reasoning, tool usage, and multimodal understanding. Compared to earlier versions, GPT-5.4 mini delivers significantly improved performance while operating at faster speeds. The model is particularly effective in environments where low latency is essential, such as real-time coding assistants and interactive applications. It supports capabilities like function calling, tool integration, and image-based reasoning, making it highly versatile. GPT-5.4 mini is also well-suited for subagent architectures, where it can efficiently process smaller tasks within larger AI systems. Developers can use it to automate workflows, analyze data, and build responsive AI-driven applications. Its strong performance across benchmarks shows that it approaches the capabilities of larger models in many scenarios. At the same time, it maintains a lower cost, making it ideal for high-volume usage. Overall, GPT-5.4 mini provides a powerful and scalable solution for modern AI development.

GPT-5.4 nano is a compact and cost-efficient AI model designed for handling lightweight, high-frequency tasks at scale. It is optimized for operations such as classification, data extraction, ranking, and simple coding assistance. The model delivers fast response times, making it suitable for applications where low latency is critical. Compared to earlier nano models, GPT-5.4 nano offers improved performance while maintaining minimal computational cost. It supports key features such as tool usage and structured output generation, allowing it to integrate easily into automated systems. The model is often used as a subagent within larger AI workflows, handling repetitive or supporting tasks efficiently. This approach allows more complex models to focus on higher-level reasoning and decision-making. GPT-5.4 nano is particularly useful in environments that require processing large volumes of requests quickly. Its efficiency makes it ideal for cost-sensitive applications and scalable deployments. Overall, it provides a reliable and fast solution for simple AI-driven tasks.

Your users expect seamless experiences across every device, and your developers need the right tools to deliver them. Rocket® ACUCOBOL-GT® empowers you to build, deploy, and modernize applications across desktop, web, and mobile platforms with ease. We help enterprise developers and independent software vendors turn reliable code into portable, modern solutions that drive real business value. By delivering highly portable, cross-platform capabilities with a low cost of entry, we ensure you can deploy to new markets faster than ever. - Deploy applications effortlessly across diverse operating environments. - Modernize your core systems using a comprehensive suite of advanced development tools. - Expand your reach with flexible, cross-platform solutions designed to meet modern customer demands. Limitless infrastructure means limitless growth. Partner with us to modernize your applications and deliver exceptional value to your users today.

Your legacy data is a valuable source of insight, and accessing it should not be a limitation. Rocket® Relativity® delivers modern relational database access directly to COBOL applications, allowing teams to work with critical data without complex or risky migrations. It connects trusted core systems with modern business tools, transforming static data into meaningful, actionable information. By enabling seamless integration between COBOL file data and contemporary analytics platforms, the solution expands how organizations use and interpret their data. It enhances existing data processing workflows while maintaining stability and avoiding disruption to daily operations. With secure, real-time access through industry-standard ODBC and JDBC connectivity, teams can query and analyze live data with confidence. This approach ensures that valuable business insights are accessible, reliable, and ready to support better decision-making. It offers a practical and efficient way to modernize data strategies while preserving the integrity of existing COBOL applications.

LakeSail is an integrated, cloud-based data and AI platform aimed at revolutionizing the way organizations handle, analyze, and utilize vast amounts of data by merging all tasks into one efficient system. Central to this platform is Sail, a Rust-based distributed computation engine that acts as a straightforward substitute for Apache Spark, allowing teams to execute their existing SQL and Python workloads without needing to modify their code, all while reducing JVM overhead and enhancing overall performance. This platform consolidates batch processing, stream processing, ad-hoc queries, and AI tasks into a singular runtime, which enables data pipelines and intelligent systems to function smoothly on the same infrastructure. Additionally, it features a multimodal lakehouse architecture adept at managing both structured and unstructured data, such as PDFs, images, and videos, within a unified environment, thereby catering to contemporary AI-focused applications. By streamlining these processes, LakeSail empowers organizations to leverage their data more effectively and drive innovation in their operations.

askme360 serves as an advanced AI solution tailored for businesses, designed to facilitate decision-making by providing immediate responses, generating email-ready reports, and offering real-time dashboards. This innovative AI tool for ERP allows users to bypass lengthy SQL queries, enabling them to pose questions in natural language and receive visual representations, structured tables, and concise text summaries directly from their enterprise systems. Beyond merely addressing queries, askme360 enhances business operations by predicting future trends, reconciling data from spreadsheets, automating various workflows, and extracting information from PDFs while efficiently routing it into databases. It also enables the scheduling of regular reports and conducts live web intelligence searches, all while ensuring that sensitive enterprise data remains secure within the firewall. Compatible with major enterprise ERPs and supported by various LLMs, askme360 guarantees insights that are firmly linked to real-time database structures and official enterprise documentation, ensuring accuracy grounded in ERP data. With a strong emphasis on security, it incorporates data sovereignty principles and offers deployment options through private cloud or on-premises solutions, featuring a zero trust identity framework and single sign-on capabilities via Okta or Entra. This comprehensive approach not only streamlines business processes but also reinforces the integrity and confidentiality of enterprise data.

Intellisys is a cutting-edge platform that leverages artificial intelligence to facilitate the modernization and maintenance of applications, utilizing intelligent automation to create various pathways for organizations to move away from outdated technology while minimizing related costs. This platform boasts support for a wide array of programming languages and features custom AI/ML technologies that are constantly evolving to meet user needs. By employing a phased strategy that includes documentation and analysis followed by agile extraction of business rules or optimization and migration of code, Intellisys effectively reduces the risks associated with modernization efforts. It addresses a variety of modernization goals across different applications and technologies, ensuring comprehensive support throughout the process. Additionally, Intellisys generates a fully automated suite of reverse-engineering artifacts, which assists teams in analyzing existing logic, gauging the potential impact of changes, and maintaining up-to-date documentation consistently. This continuous improvement not only enhances understanding but also empowers organizations to confidently navigate their modernization journeys.

SQL-Ease for Db2 for z/OS significantly accelerates the processes of application review, debugging, and SQL performance optimization without requiring a departure from the ISPF edit environment. This tool effectively shortens development timelines by enabling developers to test and refine their SQL queries prior to the compilation of the program. Programmers can seamlessly test, debug, and optimize embedded SQL directly within the ISPF editor, utilizing various functions for generating, standardizing, checking, executing, interpreting, and analyzing SQL commands. SQL-Ease is capable of producing syntactically accurate SQL statements, including SELECT, UPDATE, DELETE, INSERT, MERGE, JOIN, UNION, and subselect queries, for languages such as COBOL, Assembler, SPUFI, PL/I, and C, and integrates the SQL into the designated location within the code. Additionally, it can transform manually written SQL into a uniform, easily comprehensible format, verify the syntax of SQL queries, execute SQL from both application programs and the SQL Editor, while also returning results accompanied by crucial execution metrics that aid in further performance tuning. Ultimately, SQL-Ease serves as an indispensable tool for developers looking to enhance their workflow while ensuring high-quality SQL performance.

The new OpenAI API service tier, GPT-5.6 Sol Ultrafast, operates up to 14 times quicker than the Standard processing version, delivering cutting-edge intelligence to applications and workflows where every fleeting moment is crucial. Utilizing Cerebras technology, it boasts the capability to produce as many as 750 output tokens each second, enabling sophisticated reasoning to function at real-time velocities without the need for a more compact or specialized model. This service is particularly tailored for business environments where rapid responses can significantly enhance the capabilities of AI systems. It has various applications, including incident response, where it can swiftly analyze logs, code changes, traces, and engineering reports during ongoing outages; financial research and security, where it can rapidly evaluate fluctuating market signals and identify suspicious transactions; and customer support, where intricate problems can be resolved seamlessly during live conversations. In the realm of e-commerce, it excels at handling product inquiries, verifying inventory status, and customizing product recommendations to enhance user experience. By implementing this advanced service, organizations can expect improved efficiency and effectiveness in their operations.

Gemini 3.8 Flash Cyber represents Google's most advanced cybersecurity model, offering top-tier performance in identifying vulnerabilities and automating patching processes with remarkable speed for rapid iteration. Tailored for trusted defenders, it is accessible via the Fairwind Program. On CyberGym, a recognized industry benchmark for detecting vulnerabilities, this model showcases exceptional autonomous vulnerability discovery, outperforming both Gemini 3.5 Flash Cyber and larger frontier models. Furthermore, Google assessed its effectiveness on an internal benchmark that spans complex codebases across 20 programming languages, achieving a success rate of over 70% in identifying various vulnerabilities. Unlike many models that focus on offensive strategies, Gemini 3.8 Flash Cyber emphasizes the importance of fixing vulnerabilities, providing defenders with advanced tools that enhance their ability to stay ahead of cyber attackers. This focus on proactive defense represents a crucial shift in the cybersecurity landscape, prioritizing the safeguarding of systems over mere exploitation capabilities.

Grok 4.8 is an upcoming large language model from xAI designed to continue the company’s push toward more capable coding, reasoning, knowledge work, and autonomous AI agents. Elon Musk has stated that Grok 4.8 uses approximately 2.5 trillion parameters, making it larger than the 2.1-trillion-parameter Grok 4.7 model previously discussed. The model is also being trained on a new C++ software stack that xAI expects to use for its next generation of large-scale training runs. Initial model training is expected to finish before reinforcement learning and additional post-training work begin, meaning the final production model is not yet available. Based on the current Grok generation, Grok 4.8 is likely to emphasize software engineering, agentic tool use, professional knowledge work, image understanding, and complex multi-step reasoning. Grok 4.7 currently supports configurable reasoning levels and a 500,000-token context window, providing a baseline for the capabilities xAI is developing further. Grok 4.8 may also become an important model for products such as Grok Build and Grok Bot, where stronger reasoning and tool coordination can support longer autonomous workflows. xAI has not published official Grok 4.8 benchmarks, pricing, context limits, API details, or an exact release date. Grok 4.8 is expected to serve developers, engineering teams, researchers, enterprises, and AI agent builders seeking frontier-level performance across technical and professional tasks.