Business Software for Databricks

Microsoft Azure serves as a versatile cloud computing platform that facilitates swift and secure development, testing, and management of applications. With Azure, you can innovate purposefully, transforming your concepts into actionable solutions through access to over 100 services that enable you to build, deploy, and manage applications in various environments—be it in the cloud, on-premises, or at the edge—utilizing your preferred tools and frameworks. The continuous advancements from Microsoft empower your current development needs while also aligning with your future product aspirations. Committed to open-source principles and accommodating all programming languages and frameworks, Azure allows you the freedom to build in your desired manner and deploy wherever it suits you best. Whether you're operating on-premises, in the cloud, or at the edge, Azure is ready to adapt to your current setup. Additionally, it offers services tailored for hybrid cloud environments, enabling seamless integration and management. Security is a foundational aspect, reinforced by a team of experts and proactive compliance measures that are trusted by enterprises, governments, and startups alike. Ultimately, Azure represents a reliable cloud solution, backed by impressive performance metrics that validate its trustworthiness. This platform not only meets your needs today but also equips you for the evolving challenges of tomorrow.

AWS is the leading provider of cloud computing, delivering over 200 fully featured services to organizations worldwide. Its offerings cover everything from infrastructure—such as compute, storage, and networking—to advanced technologies like artificial intelligence, machine learning, and agentic AI. Businesses use AWS to modernize legacy systems, run high-performance workloads, and build scalable, secure applications. Core services like Amazon EC2, Amazon S3, and Amazon DynamoDB provide foundational capabilities, while advanced solutions like SageMaker and AWS Transform enable AI-driven transformation. The platform is supported by a global infrastructure that includes 38 regions, 120 availability zones, and 400+ edge locations, ensuring low latency and high reliability. AWS integrates with leading enterprise tools, developer SDKs, and partner ecosystems, giving teams the flexibility to adopt cloud at their own pace. Its training and certification programs help individuals and companies grow cloud expertise with industry-recognized credentials. With its unmatched breadth, depth, and proven track record, AWS empowers organizations to innovate and compete in the digital-first economy.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

You can now add new customer data to all your marketing tools. No need for expensive CDP, manual csv uploads, or SQL. DinMo can be set up in less than 30 minutes. This is simplicity at its finest. Audience Building Simplified: Create any audience with our intuitive Audience manager, no SQL required. One-Click activation: Connect your customer data to your business tools in a single click. CSV exports, Jira tickets are gone. Dynamic Audience management: Get continuously updated data across all synced platform, ensuring that your strategies are always powered by the freshest data.

Gigasheet applies AI to healthcare price transparency data to deliver market intelligence for providers, payers, and consultants. The platform structures Transparency in Coverage datasets at scale and analyzes them to benchmark reimbursement rates, identify outliers, and surface opportunities for savings or growth. Organizations can integrate their own claims, contract, or network data within a high-scale spreadsheet-style interface to create a complete view of market dynamics. Gigasheet’s AI agent produces consultant-grade reports, dashboards, and executive summaries, allowing teams to improve contracting and strategy decisions without relying on complex technical workflows.

Twilio Segment’s Customer Data Platform (CDP) provides companies with the data foundation that they need to put their customers at the heart of every decision. Using Twilio Segment, companies can collect, unify and route their customer data into any system. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences.

PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery. Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights. * Cross-platform compatibility with macOS, Windows, and Linux * Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more

Mitzu is an agentic analytics platform that gives every team an AI analyst on top of their data warehouse. Ask any business question in plain language — Mitzu autonomously generates and runs the query on your live Snowflake, BigQuery, Redshift, or Databricks data, then returns an explainable answer with the underlying SQL visible. No data is ever duplicated. Beyond ad-hoc questions, Mitzu runs deep multi-angle analysis and proactively monitors KPIs with email and Slack alerts. Built for product, marketing, growth, and data teams. BYOC and self-hosting available for enterprises with strict compliance needs.

Row Zero is the best spreadsheet for big data. Row Zero is similar to Excel and Google Sheets, but can handle 1+ billion rows, process data much faster, and connect live to your data warehouse and other data sources. Built-in connectors include Snowflake, Databricks, Redshift, Amazon S3, and Postgres. Row Zero spreadsheets are powerful enough to pull entire database tables into a spreadsheet, letting anyone build live pivot tables, charts, models, and metrics on data from your data warehouse. With Row Zero, you can easily open, edit, and share multi-GB files (CSV, parquet, txt, etc.) Row Zero also offers advanced security features and is cloud-based, empowering organizations to eliminate ungoverned CSV exports and locally stored spreadsheets from their org. Row Zero has all of the spreadsheet features you know and love, but was built for big data. If you know how to use Excel or Google Sheets, you can get started with ease. No training required.

Silent Push reveals adversary infrastructure, campaigns, and security problems by searching across the most timely, accurate and complete Threat Intelligence dataset available. Defenders can focus on stopping threats before they cause a problem and significantly improve their security operations across the entire attack chain whilst simultaneously reducing operational complexity. The Silent Push platform exposes Indicators of Future Attack (IOFA) by applying unique behavioral fingerprints to attacker activity and searching our dataset. Security teams can identify new impending attacks, rather than relying upon out-of-date IOCs delivered by legacy threat intelligence. Organizations are better protected by understanding emerging developing threats before launch, proactively solving problems within infrastructure, and gaining timely and tailored threat intelligence with IoFA, that allows organizations to stay one step ahead of advanced attackers.

At the heart of extensible programming lies the definition of functions. Python supports both mandatory and optional parameters, keyword arguments, and even allows for arbitrary lists of arguments. Regardless of whether you're just starting out in programming or you have years of experience, Python is accessible and straightforward to learn. This programming language is particularly welcoming for beginners, while still offering depth for those familiar with other programming environments. The subsequent sections provide an excellent foundation to embark on your Python programming journey! The vibrant community organizes numerous conferences and meetups for collaborative coding and sharing ideas. Additionally, Python's extensive documentation serves as a valuable resource, and the mailing lists keep users connected. The Python Package Index (PyPI) features a vast array of third-party modules that enrich the Python experience. With both the standard library and community-contributed modules, Python opens the door to limitless programming possibilities, making it a versatile choice for developers of all levels.

Our focus is on ensuring that data is secure and effortlessly accessible for businesses. The Safe Haven platform enhances customer intelligence, facilitates large-scale engagement, and fosters innovative opportunities for business expansion. Designed for the contemporary enterprise, our platform grants comprehensive control over data access and usage through top-tier software solutions for identity management, activation, and data collaboration. You can harness data access to uncover valuable business insights and boost revenue, all while keeping strict oversight of how data is used. Effectively connect with your target audiences across various channels, platforms, publishers, or networks, while securely converting data between identity realms to enhance outcomes. Safeguard your customer information using cutting-edge privacy-preserving technologies and sophisticated methods that limit data movement, yet still allow for the generation of insights. In doing so, you empower businesses to thrive in a data-driven landscape while upholding the highest standards of data protection.

Keras is an API tailored for human users rather than machines. It adheres to optimal practices for alleviating cognitive strain by providing consistent and straightforward APIs, reducing the number of necessary actions for typical tasks, and delivering clear and actionable error messages. Additionally, it boasts comprehensive documentation alongside developer guides. Keras is recognized as the most utilized deep learning framework among the top five winning teams on Kaggle, showcasing its popularity and effectiveness. By simplifying the process of conducting new experiments, Keras enables users to implement more innovative ideas at a quicker pace than their competitors, which is a crucial advantage for success. Built upon TensorFlow 2.0, Keras serves as a robust framework capable of scaling across large GPU clusters or entire TPU pods with ease. Utilizing the full deployment potential of the TensorFlow platform is not just feasible; it is remarkably straightforward. You have the ability to export Keras models to JavaScript for direct browser execution, transform them to TF Lite for use on iOS, Android, and embedded devices, and seamlessly serve Keras models through a web API. This versatility makes Keras an invaluable tool for developers looking to maximize their machine learning capabilities.

The Alation Agentic Data Intelligence Platform is designed to transform how enterprises manage, govern, and use data for AI and analytics. It combines search, cataloging, governance, lineage, and analytics into one unified solution, turning metadata into actionable insights. AI-powered agents automate critical tasks like documentation, data quality monitoring, and product creation, freeing teams from repetitive manual work. Its Active Metadata Graph and workflow automation capabilities ensure that data remains accurate, consistent, and trustworthy across systems. With 120+ pre-built connectors, including integrations with AWS, Snowflake, Salesforce, and Databricks, Alation integrates seamlessly into enterprise ecosystems. The platform enables organizations to govern AI responsibly, ensuring compliance, transparency, and ethical use of data. Enterprises benefit from improved self-service analytics, faster data-driven decisions, and a stronger data culture. With industry leaders like Salesforce and 40% of the Fortune 100 relying on it, Alation is proven to help businesses unlock the value of their data.

Alibaba Cloud, a subsidiary of Alibaba Group (NYSE: BABA), offers a wide range of global cloud computing solutions designed to enhance the online operations of our international clientele while also supporting Alibaba Group's e-commerce infrastructure. In a significant move, Alibaba Cloud was named the official Cloud Services Partner for the International Olympic Committee in January 2017. Committed to advancing the latest cloud technologies and robust security measures, we strive to fulfill our mission of simplifying global business interactions for everyone. Serving both large enterprises and small startups, as well as individual developers and public organizations, Alibaba Cloud extends its services across more than 200 countries and regions worldwide. Our dedication to innovation and customer satisfaction sets us apart in the cloud computing landscape.

Supply chain security and developer productivity are both based on simplified dependency lifecycle management. Endor Labs aids security and development teams by safely maximising software reuse. With a better selection process, you can reduce the number of dependencies and eliminate unused dependencies. To protect against software supply chain attacks, identify the most critical vulnerabilities and use dozens leading indicators of risk. You can get out of dependency hell quicker by identifying and fixing bugs and security issues in the dependency chain. Dev and security teams will see an increase in productivity. Endor Labs allows organizations to focus on delivering value-adding code by maximising software reuse and minimizing false positives. You can see every repos in your dependency network. Who uses what and who is dependent on whom?

LangChain provides a comprehensive framework that empowers developers to build and scale intelligent applications using large language models (LLMs). By integrating data and APIs, LangChain enables context-aware applications that can perform reasoning tasks. The suite includes LangGraph, a tool for orchestrating complex workflows, and LangSmith, a platform for monitoring and optimizing LLM-driven agents. LangChain supports the full lifecycle of LLM applications, offering tools to handle everything from initial design and deployment to post-launch performance management. Its flexibility makes it an ideal solution for businesses looking to enhance their applications with AI-powered reasoning and automation.

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.

Equip your data professionals with advanced contextual learning agents that enable immediate insights from intricate structured data. Your data transcends mere numbers; it tells a story. Our advanced contextual learning system processes, enriches, and integrates your diverse, multi-source data, converting disjointed facts into a unified graph. From multi-cloud data warehouses to sophisticated data lineage tracking, observe the comprehensive narrative unfold in real-time. Acquire insights that adapt alongside your data, facilitating informed decisions free from distractions. Synchronize every data role into a cohesive workflow through agent-assisted collaboration. Analysts, engineers, managers, and artificial intelligence collaborate seamlessly, dismantling barriers with agent-driven processes that clarify even the most intricate analytics challenges. Our agents promote an effortless information exchange among teams, significantly reducing the time needed for insights and enhancing team effectiveness. Together, unleash the complete potential of your data. By fostering collaboration and streamlining processes, your organization can thrive in an increasingly data-driven landscape.

ER/Studio Data Architect is an enterprise data modeling solution that helps organizations design, document, and manage data architecture across modern platforms. It enables data architects and database professionals to create conceptual, logical, and physical data models that connect business meaning with technical implementation. By defining entities, relationships, and standards before systems are built, ER/Studio helps ensure consistent definitions, accurate reporting, and reliable analytics. A core capability of ER/Studio Data Architect is logical data modeling, which defines business concepts independently of technology. Logical models act as a semantic foundation for the organization, helping teams align on the meaning of key entities such as customers, products, and transactions. This approach reduces ambiguity, prevents semantic drift across systems, and improves the reliability of analytics and AI initiatives. The platform provides powerful forward and reverse engineering capabilities. Architects can generate database schemas from models or reverse engineer existing databases to document and analyze current structures. Schema compare and merge tools detect differences between versions and generate scripts to apply updates efficiently. ER/Studio Data Architect supports major platforms including SQL Server, Oracle, PostgreSQL, Snowflake, Databricks, and JSON-based systems. Automation features such as macros, data lineage, and impact analysis help teams understand dependencies and reduce manual work. The platform also includes ERbert, an AI-powered data modeling assistant that can generate logical models from natural language prompts, accelerating model creation while maintaining structured data architecture.

Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud. Key Features: Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines. Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance. Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects. Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

HighByte Intelligence Hub is an Industrial DataOps software solution designed specifically for industrial data modeling, delivery, and governance. The Intelligence Hub helps mid-size to large industrial companies accelerate and scale the use of operational data throughout the enterprise by contextualizing, standardizing, and securing this valuable information. Run the software at the Edge to merge and model real-time, transactional, and time-series data into a single payload and deliver contextualized, correlated information to all the applications that require it. Accelerate analytics and other Industry 4.0 use cases with a digital infrastructure solution built for scale.

ER/Studio is an enterprise data modeling and architecture solution that helps organizations structure, align, and govern data across complex, distributed environments, including data warehouses, lakehouses, data mesh frameworks, and data vault architectures. It bridges business intent and technical execution through integrated conceptual, logical, and physical modeling, enabling teams to move from strategy to implementation with clarity and control. The result is a consistent architectural foundation that supports analytics, AI initiatives, modernization, regulatory requirements, and operational systems. Collaboration is built into the platform through a centralized, multi-user repository and the web-based Team Server portal. The repository manages version control, role-based permissions, and parallel development so teams can work concurrently while preserving model integrity and full audit history. Team Server extends visibility beyond architects, allowing business and technical stakeholders to review models, explore definitions, and contribute feedback through a browser interface. ER/Studio reinforces governance by embedding standardized definitions, business glossaries, and data dictionaries directly within technical models. Impact analysis provides insight into downstream dependencies before changes are implemented, helping reduce risk and improve coordination. Integrations with Microsoft Purview and Collibra extend metadata into broader governance ecosystems, strengthening lineage tracking, documentation accuracy, and compliance oversight. Available in Standard, Professional, and Enterprise editions, ER/Studio scales from focused modeling teams to enterprise-wide data architecture programs with advanced collaboration and governance requirements.

Ketch is the AI Privacy Company. Built by the founders who led GDPR compliance for Salesforce Marketing Cloud, Ketch is permissioning infrastructure that helps businesses collect and use people's data responsibly — respecting consent and preferences, meeting privacy requirements, and ensuring all data is AI-ready. The problem Ketch solves is real and growing. AI turns data into a compounding competitive advantage while simultaneously expanding the surface area of risk. Marketing tools assume permission is handled elsewhere. Privacy tools are compliance-first, not growth-first. The result: enterprises are forced into a false choice between data growth and data governance. Ketch closes that gap. The platform operates across three layers. First, discovery — see everything. Ketch observes what data exists, where it flows, how it's collected, and whether consent is actually being honored. Second, permissioning — control everything. Consent, rights, policy, and intended use are enforced in real time across systems. Third, activation — use everything, safely. Permissioned data powers AI pipelines, advertising, and personalization without regulatory or reputational risk. Core capabilities include consent management with 400+ no-code configurations, automated data subject rights, front-end data observability via Data Sentry, server-side permission storage via Permission Vault, and AI governance via AI Sentry — which monitors, enforces, and audits every AI interaction against consent and rights signals. 3,500+ businesses trust Ketch. 67.2 billion consent transactions processed per month. Rated #1 Consent Management Platform on Gartner Peer Insights (4.8/5) and a G2 Grid Leader for Enterprise. Used by Chipotle, Forbes, Paramount, Hasbro, Equifax and more.

Hackolade Studio is a comprehensive data modeling platform built for today’s complex and hybrid data ecosystems. Originally developed to address the lack of visual design tools for NoSQL databases, Hackolade has evolved into a multi-model solution that supports the broadest range of data technologies in the industry. The platform enables agile, iterative schema design and governance for both structured and semi-structured data, making it ideal for organizations working across traditional RDBMS, modern data warehouses, NoSQL stores, and streaming systems. Hackolade supports technologies such as Oracle, PostgreSQL, BigQuery, Databricks, Redshift, Snowflake, MongoDB, Cassandra, DynamoDB, Neo4j, Kafka (with Confluent Schema Registry), OpenAPI, GraphQL, and more. Beyond databases, Hackolade Studio offers robust capabilities for API modeling, supporting OpenAPI (Swagger) and GraphQL, as well as native modeling for data exchange formats like JSON Schema, Avro, Protobuf, Parquet, and YAML. It also integrates with metadata and data governance platforms like Unity Catalog and Collibra, making it a powerful enabler for organizations focused on data quality, lineage, and compliance. Key features include reverse and forward engineering, schema versioning, data type mapping, and team collaboration tools. Whether you're building data products, managing data contracts, or migrating between systems, Hackolade Studio provides a unified interface for modeling, documenting, and evolving your schemas. Hackolade is trusted by enterprises across finance, retail, healthcare, and telecom to align data architecture with real-world delivery. It’s an essential tool for teams implementing data mesh, data fabric, microservices, or API-first strategies.