Product Listings
For data-driven companies, Starburst offers a full-featured data lake analytics platform, built on open source Trino. Our platform includes the capabilities needed to discover, organize, and consume data without the need for time-consuming and costly migrations. We believe the lake should be the center of gravity, but support accessing data outside the lake when needed. With Starburst, teams can access more complete data, lower the cost of infrastructure, use the tools best suited to their specific needs, and avoid vendor lock-in. Starburst helps companies make better decisions faster on all their data.
Kyvos is a semantic data lakehouse platform that supports business intelligence and AI initiatives. It provides scalable analytics capabilities and enables access to both structured and unstructured data. The platform helps organizations manage and use trusted data effectively for AI applications.
Kyvos works across on-premises and cloud environments. Large enterprises use it as a unified layer for efficient analytics, enabling teams to interact with data and build context-aware AI solutions.
DBeaver Corporation operates in the information technology sector and brings two decades of experience in the development of database management tools. The firm offers a comprehensive data solution, readily adaptable to various user needs, ranging from open-source tools to integrated enterprise software solutions.
Dremio is the unified lakehouse platform for self-service analytics and AI. Dremio brings users closer to the data with lakehouse flexibility, scalability, and performance. Dremio's intuitive unified analytics, high-performance SQL query engine, and Apache Iceberg lakehouse management service for next-gen dataops. Use Dremio's SQL query service and any other processing engine on the same data. Dremio increases agility with a data-as-code approach that enables Git-like data experimentation, version control, and governance. In addition, Dremio eliminates data silos by enabling queries across data lakes, databases, and data warehouses, and by simplifying ingestion into the lakehouse. Dremio's fully managed service helps organizations get started with analytics in minutes, and automatically optimizes data for every workload.
Databricks is a global company focusing on data and AI. At the core of Databricks is the Databricks Data Intelligence Platform which allows entire organizations to use data and AI to power a wide range of business use cases. It's built on a lakehouse to provide an open, unified foundation for all data and governance and is powered by a Data Intelligence Engine that understands the uniqueness of the organizations’ data. Databricks simplifies and accelerates enterprises' data and AI goals by unifying data, analytics and AI on one platform. Its key mission is to assist data teams in addressing some of the world's most challenging problems.
AtScale is an enterprise focused on the facilitation of informed decision-making processes by hastening the generation of data-driven insights. The company’s main product is a semantic layer platform designed to expedite and amplify business intelligence and data science capabilities across a wide range of industries. By providing this platform, AtScale enables its enterprise customers to distribute data more widely within their organizations, thus fostering a self-service business intelligence environment and constructing a nimbler analytics infrastructure. This subsequently allows for enhanced and more influential decision making processes.
Ahana, an enterprise of IBM, has established a primary goal of developing an effective engine for the Open Data Lakehouse. The open-source project, Presto, instituted originally by Facebook and implemented within organizations like Uber and Twitter, serves as a recognized standard for swift SQL processing on data lakes. Being an instrumental part of both the Presto community and the Presto Foundation under the Linux Foundation, Ahana dedicates its efforts towards the expansion and promotion of the open-source Presto. Inaugurated in 2020, Ahana has its headquarters in San Mateo, CA and operates virtually as an all-remote company. Its acquisition was made by IBM in April 2023.
DbVis Software AB is a Swedish company that develops and maintains DbVisualizer, a universal database tool. It is designed to help developers, analysts, and database administrators work efficiently with various relational and NoSQL databases. The software provides features for managing your database, creating and refining SQL queries, generating entity-relationship diagrams, editing table data, and much more. DbVisualizer supports a wide range of databases—including MySQL, PostgreSQL, SQL Server, Oracle, and Snowflake—and runs on Windows, macOS, and Linux. Both free and Pro versions are offered, giving individuals and organizations flexibility in choosing the right set of features for their needs.
For data-driven companies, Starburst offers a full-featured data lake analytics platform, built on open source Trino. Our platform includes the capabilities needed to discover, organize, and consume data without the need for time-consuming and costly migrations. We believe the lake should be the center of gravity, but support accessing data outside the lake when needed. With Starburst, teams can access more complete data, lower the cost of infrastructure, use the tools best suited to their specific needs, and avoid vendor lock-in. Starburst helps companies make better decisions faster on all their data.
Incorta is an end-to-end data and analytics platform for acquiring, processing, analyzing and presenting business applications data. You can go from zero to analyzing data in days or just a few weeks. Simply load your data, and start exploring.
Alluxio has developed open-source data orchestration software meant for cloud use. The services move data closer to big data and machine learning compute frameworks irrespective of location - across clusters, regions, or countries. This guarantees quick file and object access. Additionally, Alluxio includes intelligent data tiering and data management, ensuring consistent high performance. The company initially began at UC Berkeley's AMPLab, originating from the creators of the Tachyon open source project.
ChaosSearch is a firm that specializes in modifying cloud storage systems like AWS S3 into an efficient, stream-based Search+SQL analytical database. This is employed in a variety of uses including Observability, Data Security Lakes, and Application Insights. Specifically developed for cost-efficient, extensive-scale analytics, ChaosSearch combines features of Full Text Search, Relational SQL, and Machine Learning in its unified solution.
Kyligence has developed the Metrics Platform which provides organizations with the ability to create a common data language across various business divisions. Its metrics catalog serves as a unique source of metrics for multiple tools including business and applications, aiding in the formulation, storage, and management of these metrics. The platform's AI-Augmented OLAP engine assists in making the process of obtaining insights quicker and more cost-efficient, even while handling substantial volumes of data. Alongside being embraced for usage by numerous sectors, Kyligence was created in 2016 by the original creators of Apache Kylin and holds dual headquarters. The company maintains a strategic relationship with multiple high-profile bodies.
CData Software provides data integration and connectivity solutions that enable access to data from a wide range of on-premises and cloud-based applications. Designed to support diverse deployment environments—including on-premises, cloud, and hybrid—CData solutions simplify how users connect, integrate, and work with data. By facilitating easy and secure data access across systems, CData helps organizations accelerate decision-making, improve process efficiency, and advance data-driven initiatives.
Cube brings consistency, context, and trust to the next generation of data experiences. Cube Cloud is an AI-powered universal semantic layer platform that helps enterprise data and app development teams to manage and deliver trusted data using a developer-oriented, code-first approach. Sitting between data sources and data consumers, Cube Cloud unifies, governs, optimizes, and integrates data across Al, BI, spreadsheets, and embedded analytics. Cube is committed to interoperability with technology and tools across the data and analytics ecosystem, providing a robust set of deployment options, data connectivity, coding languages, and native APIs for building AI and analytics solutions to fit an organization’s unique requirements.
Adobis provides the DataChain® solution, a Sovereign Data/AI tool. This tool is designed to gather, organise, structure, clean, normalize, and analyse data. It can process data from multiple formats and sources, whether structured or not. The DataChain® solution places an emphasis on security procedures and traceability protocols. It uses OpenSource technologies and is designed for quick implementation. Additionally, it includes features for data representation, such as graphs, timelines, and cartography.
Denodo is a data management company offering solutions that facilitate access to a variety of data sources, such as enterprise, big data, and cloud. The core business problem it addresses is the streamlining of data services provisioning and governance with a lower cost approach. Denodo has developed a unified virtual data layer that fulfils strategic, enterprise-wide information requirements for big data analytics, web and cloud integration, SOA data services, and single-view applications. Its platform also provides access to structured and unstructured data located in multiple locations. It serves data-focused organizations with analytical and operational needs. Denodo's platform aspires to deliver agility, faster route to market capabilities, enhanced customer interaction through a complete customer view, and operational efficiency through real-time business intelligence. Incepted in 1999, the company is headquartered in Palo Alto and operates from 25 offices across 20 countries.
Jethro is a company dedicated to fostering interactive business intelligence in the realm of big data. Big data is understood and visualized seamlessly by Jethro's SQL Acceleration Engine, which combines perfectly with BI tools such as Tableau or Qlik. The unique SQL engine uses comprehensive indexing and a columnar structure to provide users with interactive business intelligence on Hadoop and Amazon S3 platforms. Jethro operates in coordination with a BI tool and the respective data source, facilitating users with accelerated SQL queries on Hadoop. Jethro's system works by implementing indexes as data is written into Hadoop. This allows queries to access only required data rather than conducting a full-scan of the entire data set, resulting in substantial reduction of system resource necessities. The company was established by an experienced team focused on real-time big data analytics solutions.
Established in 2018, Pecan is an organization that specializes in providing a predictive analytics platform. The platform incorporates Predictive GenAI technology, an initiative aimed at making predictive modeling easily accessible to all business and data teams. The platform, supported by generative AI, empowers businesses to generate accurate predictions across a variety of business domains without the requirement of specialized personnel. Pecan's Predictive GenAI technology facilitates a swift process for defining and training models, while the incorporation of automated processes hastens the application of AI. Consequently, the merger of predictive and generative AI via Pecan occasions a swift and effortless realization of AI's business impacts.