Business Software for SQL - Page 13
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Nextdata
Nextdata
Nextdata is a data mesh operating system designed to decentralize data management, enabling organizations to create, share, and manage data products across various data stacks and formats. By encapsulating data, metadata, code, and policies into portable containers, it simplifies the data supply chain, ensuring data is useful, safe, and discoverable. Automated policy enforcement is embedded as code, continuously evaluating and maintaining data quality and compliance. The system integrates seamlessly with existing data infrastructures, allowing configuration and provisioning of data products as needed. It supports processing data from any source in any format, facilitating analytics, machine learning, and generative AI applications. Nextdata automatically generates and synchronizes real-time metadata and semantic models throughout the data product's lifecycle, enhancing discoverability and usability. -
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SQLNotebook
TimeStored
SQL Notebooks allow developers to write Markdown combined with SQL to produce live HTML5 reports. They offer a lightning-fast, modern HTML5 interface where data sources are queried in real time. Users can create beautiful, live-updating SQL notebooks, easily source control the code, and take static snapshots to share with colleagues who don't have database access. SQL Notebooks are available in both QStudio Version 4, a desktop SQL client based on editing markdown files locally, and Pulse Version 3, which serves as a shared team server accessible via a web address. To help users get started, a showcase of example notebooks has been created in collaboration with leading community members; these examples are snapshotted versions with static data, and the source markdown and most of the data to recreate them are available on GitHub. -
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Gemini 2.0 Flash-Lite
Google
Gemini 2.0 Flash-Lite is Google DeepMind's lighter AI model, designed to offer a cost-effective solution without compromising performance. As the most economical model in the Gemini 2.0 lineup, Flash-Lite is tailored for developers and businesses seeking efficient AI capabilities at a lower cost. It supports multimodal inputs and features a context window of one million tokens, making it suitable for a variety of applications. Flash-Lite is currently available in public preview, allowing users to explore its potential in enhancing their AI-driven projects. -
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Gemini 2.0 Pro
Google
Gemini 2.0 Pro is Google DeepMind's most advanced AI model, designed to excel in complex tasks such as coding and intricate problem-solving. Currently in its experimental phase, it features an extensive context window of two million tokens, enabling it to process and analyze vast amounts of information efficiently. A standout feature of Gemini 2.0 Pro is its seamless integration with external tools like Google Search and code execution environments, enhancing its ability to provide accurate and comprehensive responses. This model represents a significant advancement in AI capabilities, offering developers and users a powerful resource for tackling sophisticated challenges. -
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TROCCO
primeNumber Inc
TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing. -
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ERNIE X1
Baidu
ERNIE X1 is an advanced conversational AI model developed by Baidu as part of their ERNIE (Enhanced Representation through Knowledge Integration) series. Unlike previous versions, ERNIE X1 is designed to be more efficient in understanding and generating human-like responses. It incorporates cutting-edge machine learning techniques to handle complex queries, making it capable of not only processing text but also generating images and engaging in multimodal communication. ERNIE X1 is often used in natural language processing applications such as chatbots, virtual assistants, and enterprise automation, offering significant improvements in accuracy, contextual understanding, and response quality.Starting Price: $0.28 per 1M tokens -
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FairCom MQ
FairCom
FairCom MQ combines the benefits of an MQTT broker with the reliability of a dedicated embedded database. Its core persistence layer guarantees safe data transfer between subscribers and publishers, while the no-code configuration capabilities allow easy cross-communication for app development and IoT devices. FairCom MQ frees your data, allowing you to easily gather, push, and pull data wherever you need. You can add new processing capabilities without affecting existing integrations using FairCom MQ’s messaging systems, easily sending your data wherever needed. With guaranteed delivery, even when devices go offline, using MQ’s embedded database, and store-and-forward capabilities means you never miss a message. Eliminate bottlenecks and improve decision-making with parallel processing’s real-time monitoring and notifications between applications. Easily run our plug-and-play broker with simple JSON configurations to keep operations accessible. -
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FairCom RTG
FairCom
FairCom RTG modernizes COBOL and Btrieve applications by seamlessly replacing their native file systems with FairCom's advanced database engine, enhancing reliability, scalability, and performance without altering existing code. It enables real-time read/write access to live data through modern APIs, including JSON and SQL, facilitating business analytics and reporting without additional coding. With features like hot backups, automatic recovery, and ACID-compliant transactions, data integrity and uptime are significantly improved. FairCom RTG supports vertical scaling to thousands of users and horizontal scaling through replication for reporting, failover, and availability. The latest version introduces a JSON DB API, allowing simple JSON commands to manage COBOL data, and Hot Alter Table functionality for immediate schema modifications without rewriting records. -
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JSON Formatter
JSON Formatter
JSON Formatter's JSON Editor is a user-friendly tool designed for editing, viewing, and analyzing JSON data. It offers features such as formatting, beautifying, and validating JSON, as well as converting JSON to XML, CSV, and YAML formats. Users can load JSON data via file upload or URL and share edited JSON through generated links. It ensures that data is not sent to external servers, thus enhancing security and performance. -
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SQream
SQream
SQream is a GPU-accelerated data analytics platform that enables organizations to process large, complex datasets with unprecedented speed and efficiency. By leveraging NVIDIA's GPU technology, SQream executes intricate SQL queries on vast datasets rapidly, transforming hours-long processes into minutes. It offers dynamic scalability, allowing businesses to seamlessly scale their data operations in line with growth, without disrupting analytics workflows. SQream's architecture supports deployments that provide flexibility to meet diverse infrastructure needs. Designed for industries such as telecom, manufacturing, finance, advertising, and retail, SQream empowers data teams to gain deep insights, foster data democratization, and drive innovation, all while significantly reducing costs. -
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Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. Built on Amazon DataZone, it integrates various AWS analytics and AI/ML services, such as Amazon EMR, AWS Glue, and Amazon Bedrock, into a single platform. Users can discover, access, and process data from various sources like Amazon S3 and Redshift, and develop generative AI applications. With tools for model development, governance, MLOps, and AI customization, SageMaker Unified Studio provides an efficient, secure, and collaborative environment for data teams.
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LightOn
LightOn
LightOn is a generative AI solution designed for enterprises, enabling seamless integration of AI capabilities into business workflows while ensuring data confidentiality. It offers features such as private chat with large language models, enhanced knowledge retrieval through Retrieval-Augmented Generation (RAG), and customizable business cases, allowing organizations to tailor AI tools to their specific needs. Paradigm supports secure hosting compliant with SOC 2, ISO 27001, and HIPAA standards, and provides robust user management, access controls, and audit logs. Flat pricing for predictable costs, with flexible plans to adapt to your usage. Expert guidance for successful implementation. Tailored to your organization and specific needs. Tracked system activities with dedicated reports. Effortlessly stay compliant with enterprise-grade standards. -
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Gemini 2.5 Flash
Google
Gemini 2.5 Flash is a powerful, low-latency AI model introduced by Google on Vertex AI, designed for high-volume applications where speed and cost-efficiency are key. It delivers optimized performance for use cases like customer service, virtual assistants, and real-time data processing. With its dynamic reasoning capabilities, Gemini 2.5 Flash automatically adjusts processing time based on query complexity, offering granular control over the balance between speed, accuracy, and cost. It is ideal for businesses needing scalable AI solutions that maintain quality and efficiency. -
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SDF
SDF
SDF is a developer platform for data that enhances SQL comprehension across organizations, enabling data teams to unlock the full potential of their data. It provides a transformation layer to streamline query writing and management, an analytical database engine for local execution, and an accelerator for improved transformation processes. SDF also offers proactive quality and governance features, including reports, contracts, and impact analysis, to ensure data integrity and compliance. By representing business logic as code, SDF facilitates the classification and management of data types, enhancing the clarity and maintainability of data models. It integrates seamlessly with existing data workflows, supporting various SQL dialects and cloud environments, and is designed to scale with the growing needs of data teams. SDF's open-core architecture, built on Apache DataFusion, allows for customization and extension, fostering a collaborative ecosystem for data development. -
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eRAG
GigaSpaces
GigaSpaces eRAG (Enterprise Retrieval Augmented Generation) is an AI-powered platform designed to enhance enterprise decision-making by enabling natural language interactions with structured data sources such as relational databases. Unlike traditional generative AI models that may produce inaccurate or "hallucinated" responses when dealing with structured data, eRAG employs deep semantic reasoning to accurately translate user queries into SQL, retrieve relevant data, and generate precise, context-aware answers. This approach ensures that responses are grounded in real-time, authoritative data, mitigating the risks associated with unverified AI outputs. eRAG seamlessly integrates with various data sources, allowing organizations to unlock the full potential of their existing data infrastructure. eRAG offers built-in governance features that monitor interactions to ensure compliance with regulations. -
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Borneo
Borneo
Borneo is a real-time data security and privacy observability platform designed to help organizations discover, remediate, and govern data risks while ensuring privacy and compliance. It enables users to discover where health data, financial data, and PII are stored across unstructured data, SaaS apps, and public cloud environments. Borneo's risk correlation engine identifies data that violates security frameworks and privacy regulations, prompting immediate action. It offers automatic remediation through data masking, access changes, and encryption, and continuously monitors changes across the data landscape to maintain compliance and eliminate regulatory risk. Built by security practitioners from Uber, Facebook, and Yahoo, Borneo is crafted to handle data at scale. It features a powerful connector framework to integrate across diverse data landscapes, supports flexible and modular deployment, and ensures that data never leaves the user's cloud environment. -
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DeepSeek-Coder-V2
DeepSeek
DeepSeek-Coder-V2 is an open source code language model designed to excel in programming and mathematical reasoning tasks. It features a Mixture-of-Experts (MoE) architecture with 236 billion total parameters and 21 billion activated parameters per token, enabling efficient processing and high performance. The model was trained on an extensive dataset of 6 trillion tokens, enhancing its capabilities in code generation and mathematical problem-solving. DeepSeek-Coder-V2 supports over 300 programming languages and has demonstrated superior performance on benchmarks such surpassing other models. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, optimized for instruction-based tasks; DeepSeek-Coder-V2-Base, suitable for general text generation; and lightweight versions like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, designed for environments with limited computational resources. -
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The Rapid Analytics Platform is ICE Mortgage Technology’s cloud-based solution designed to streamline the analysis of large datasets and the creation of analytic models. It offers a turnkey environment where users can access diverse data assets and perform advanced analytics with real-time, high-speed processing capabilities, delivering exceptionally fast results even in complex scenarios. RAP supports multiple programming languages, including SQL, Python, R, and Scala, and features a familiar integrated development environment for writing and organizing code, running queries, and building advanced analytics. It provides daily refreshed data managed in the cloud, ensuring easy access to the most current information. Users can share analytics and code snippets across their enterprise and integrate data and analytics with business-intelligence tools like Tableau and Power BI, with multiple pre-built dashboards available.
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100x
100x
100X is an AI-powered platform designed to troubleshoot complex software systems by autonomously analyzing tickets, alerts, logs, metrics, traces, code, and knowledge to pinpoint problems and remediate issues. It operates through a multi-step process: connecting to your environment to build a comprehensive knowledge graph, automatically investigating every incoming alert or support ticket, dynamically querying telemetry and connecting signals across systems, isolating specific system issues with supporting evidence, suggesting proven fixes with relevant context, and learning from every resolution by capturing commands, fixes, and failure patterns discovered by your team. 100X integrates with tools like Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, and can be deployed within your cloud environment, ensuring data is accessed, processed, and stored entirely within your cloud boundary. -
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SchemaFlow
SchemaFlow
SchemaFlow is a powerful tool designed to enhance AI-powered development by providing real-time access to your PostgreSQL database schema through the Model Context Protocol (MCP). It allows developers to connect their databases, visualize schema structures with interactive diagrams, and export schemas in various formats such as JSON, Markdown, SQL, and Mermaid. With native MCP support via Server-Sent Events (SSE), SchemaFlow enables seamless integration with AI-Integrated Development Environments (AI-IDEs) like Cursor, Windsurf, and VS Code, ensuring that AI assistants have up-to-date schema information for accurate code generation. It offers secure token-based authentication for MCP connections, automatic schema synchronization to keep AI assistants informed of any changes, and a schema browser for easy navigation of tables and relationships. -
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Mistral Code
Mistral AI
Mistral Code is an AI-powered coding assistant designed to enhance software engineering productivity in enterprise environments by integrating powerful coding models, in-IDE assistance, local deployment options, and comprehensive enterprise tooling. Built on the open-source Continue project, Mistral Code offers secure, customizable AI coding capabilities while maintaining full control and visibility inside the customer’s IT environment. It supports over 80 programming languages and advanced functionalities such as multi-step refactoring, code search, and chat assistance, enabling developers to complete entire tickets, not just code completions. The platform addresses common enterprise challenges like proprietary repo connectivity, model customization, broad task coverage, and unified service-level agreements (SLAs). Major enterprises such as Abanca, SNCF, and Capgemini have adopted Mistral Code, using hybrid cloud and on-premises deployments. -
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GeoGrid
Globema
GeoGrid is a lightweight GIS, a universal geographic information system with essential features, ready for immediate use via cloud, web, and mobile apps. It empowers any user, not just GIS specialists, to visualize, manage, and analyze spatial and business data through interactive, map‑based dashboards. Its configurable data model ingests and combines over 450 formats and data sources (e.g., FME integration), making it easy to collect, transform, and integrate geospatial and tabular information. Users can create eye‑catching interactive maps with OpenStreetMap backdrops, zooming into object attributes, linked documents, tables, and charts, and uncovering spatial relationships. Real‑time asset monitoring reduces costs and boosts efficiency, whether running standalone or integrated with other GIS systems. Collaborative editing allows multiple users, whether stationary or field, to update, add, or delete objects live. -
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Cargo
Cargo
Cargo lets you build AI‑powered go‑to‑market workflows that drive revenue, orchestrating all GTM operations from a single hub. It aggregates, enriches, scores, assigns, and routes leads, keeping only golden records in sync with your CRM at the right time, cutting outbound admin time by half and letting sales reps focus on selling. It offers built‑in storage to integrate and unify data from CRM, product insights, marketing, and intent signals directly on top of your warehouse, without ever storing customer data locally. Users can define business entities, create segments without SQL, build workflows using native integration connectors, and deploy templates for tasks such as deduplication, data enrichment, lead scoring, account assignment, and waterfall enrichment. Cargo is SOC 2 certified for security, requests minimal permissions, backs up its own app database, and never stores customer data outside the user’s control. -
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Kloudfuse
Kloudfuse
Kloudfuse is an AI‑powered unified observability platform that scales cost‑effectively, combining metrics, logs, traces, events, and digital experience monitoring into a single observability data lake. It integrates with over 700 sources, agent‑based or open source, without re‑instrumentation, and supports open query languages like PromQL, LogQL, TraceQL, GraphQL, and SQL while enabling custom workflows through webhooks and notifications. Organizations can deploy Kloudfuse within their VPC using a simple single‑command install and manage it centrally via a control plane. It automatically ingests and indexes telemetry data with intelligent facets, enabling fast search, context‑aware ML‑based alerts, and SLOs with reduced false positives. Users gain full‑stack visibility, from frontend RUM and session replays to backend profiling, traces, and metrics, allowing navigation from user experience down to code‑level issues. -
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Gemini 2.5 Flash-Lite
Google
Gemini 2.5 is Google DeepMind’s latest generation AI model family, designed to deliver advanced reasoning and native multimodality with a long context window. It improves performance and accuracy by reasoning through its thoughts before responding. The model offers different versions tailored for complex coding tasks, fast everyday performance, and cost-efficient high-volume workloads. Gemini 2.5 supports multiple data types including text, images, video, audio, and PDFs, enabling versatile AI applications. It features adaptive thinking budgets and fine-grained control for developers to balance cost and output quality. Available via Google AI Studio and Gemini API, Gemini 2.5 powers next-generation AI experiences. -
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ABAP
SAP PRESS
ABAP (Advanced Business Application Programming) is SAP’s proprietary fourth‑generation programming language, purpose‑built for mass data processing in SAP business applications. Utilized within SAP NetWeaver, it enables companies running SAP ERP and S/4 HANA to tailor systems precisely to their needs. ABAP is a multi‑paradigm language that supports procedural, object‑oriented, and other programming styles. It can seamlessly interoperate with languages such as Java, JavaScript, and SAPUI5. ABAP embraced object orientation with release 4.6C (2000) and saw even greater efficiency gains in ABAP 7.4/7.5, cutting code length by up to 50% via richer syntax, enhanced Open SQL, ABAP Managed Database Procedures, and Core Data Services (CDS) Views. The arrival of SAP HANA in 2011 shifted much processing into the in‑memory database layer, enabling real‑time operations and unlocking powerful new programming possibilities. -
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Myriade
Myriade
Myriade is an AI-powered platform designed to streamline data analysis by enabling users to interact with their data through natural language queries. It allows both technical and non-technical users to perform complex data operations without writing SQL code. Users can ask open-ended questions or request specific data structures, and Myriade handles the underlying data processing. It supports data auditing, identifying issues like duplicates, inconsistencies, and missing values, and provides transparent, interpretable results. It operates within user-defined governance policies, ensuring data security and compliance. By automating repetitive tasks and simplifying data exploration, Myriade enhances productivity and decision-making across various industries. -
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MontBlancAI
MontBlancAI
MontBlancAI is the central intelligence hub for process manufacturers, ingesting and normalizing data from sensors, PLCs, SCADA, MES and ERP into a unified operational layer that eliminates data silos; it applies AI-powered real-time anomaly detection to surface deviations beyond traditional thresholds, generates actionable insights via intuitive dashboards and root-cause diagnostics, and delivers predictive maintenance and continuous improvement recommendations. Its unified data layer cleans and structures vast streams of process data, enabling teams to increase production capacity, reduce operating costs, ensure consistent quality, and address labor shortages by uncovering untapped capacity and validating critical cycles. Accessible through a web interface and APIs, MontBlancAI acts as a digital twin of your production ecosystem, fostering cross-functional collaboration and data-driven decision-making across plant operations. -
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Longview Transfer Pricing
insightsoftware
Longview Transfer Pricing automates and streamlines operational transfer pricing by integrating data from multiple sources into a centralized environment where data collection, allocations, segmented reporting, and profitability analysis are handled via intuitive, configurable modules. Its rules-driven engine calculates transfer price targets and adjustments at product, entity, and counterparty levels, supports intraperiod testing and goal-seek scenarios, and leverages historical data to monitor margins and ensure global compliance. Users can map intercompany transactions, define multi-dimensional segments (such as product, region, and cost center), and apply real-time currency conversions with embedded FX rate management. With dynamic dashboards, interactive visualizations, and drill-down analytics, finance and tax teams gain clear insights into pricing strategies while maintaining full audit trails and BEPS-compliant documentation. -
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XBOW
XBOW
XBOW is an AI-powered offensive security platform that autonomously discovers, verifies, and exploits vulnerabilities in web applications without human intervention. By executing high-level commands against benchmark descriptions and reviewing outputs it solves a wide array of challenges, from CBC padding oracle and IDOR attacks to remote code execution, blind SQL injection, SSTI bypasses, and cryptographic exploits, achieving success rates up to 75 percent on standard web security benchmarks. Given only general instructions, XBOW orchestrates reconnaissance, exploit development, debugging, and server-side analysis, drawing on public exploits and source code to craft custom proofs-of-concept, validate attack vectors, and generate detailed exploit traces with full audit trails. Its ability to adapt to novel and modified benchmarks demonstrates robust scalability and continuous learning, dramatically accelerating penetration-testing workflows.
