The Software Report is pleased to announce The Top 25 Data Management and Analytics Companies of 2025. This year’s awardees are providing the essential infrastructure that enables businesses to manage, integrate, and analyze data at scale. As organizations race to operationalize AI and make real-time decisions, these companies are solving the complex challenges beneath the surface to ensure that data is accessible, trusted, and ready for use across the enterprise to produce the crucial insights needed to perform. Their platforms span everything from data integration and governance to advanced analytics and AI-driven pipelines, forming the backbone of modern data operations.
Some are focused on eliminating the fragmentation that holds businesses back. Starburst, for example, unifies distributed data across cloud, hybrid, and on-premises environments, enabling enterprises to access and analyze information without the cost or disruption of large-scale migrations. Others, like CData, simplify the connectivity layer itself, providing seamless, real-time access to hundreds of applications and systems across the modern data stack. Meanwhile, Snowplow is building high-fidelity behavioral data pipelines that fuel AI and personalization, helping digital-first organizations turn raw data into governed, AI-ready assets.
Beyond their technical achievements, these companies are addressing deeper organizational challenges. As enterprises generate more data across more systems, managing that complexity without sacrificing governance or performance has become a defining obstacle. This year’s awardees are not only advancing the tools and platforms that solve these problems, they are making those solutions accessible across industries, regardless of an organization’s technical maturity.
As AI, automation, and real-time analytics become central to how businesses operate, the companies on this year’s list are positioned to play an increasingly critical role. The recipients of this year’s award were selected based on a thorough evaluation of their technological capabilities, market impact, and ability to help enterprises operationalize data to accomplish their goals. Please join us in celebrating The Top 25 Data Management and Analytics Companies of 2025.
1. Starburst
Starburst, based in Boston, Massachusetts, is a leading data platform provider designed to give enterprises fast, secure, and scalable access to distributed data—wherever it lives. Founded by the original creators of Trino, Starburst enables organizations to unify data across cloud, hybrid, and on-premises environments without the need for costly or complex migrations. The company’s open data lakehouse platform is powered by the industry-leading SQL engine, offering capabilities for data discovery, governance, collaboration, and analytics. With its Lakeside AI architecture and Apache Iceberg support, Starburst provides federated access, governed workflows, and complete data lineage to support analytics and AI use cases at scale.
Starburst currently supports a growing roster of enterprise clients, including Apache Corporation, Comcast, Doordash, DBS Bank, and VMware. Its customer-first approach led to early revenue and rapid growth that outpaces many software peers. In the past year, Starburst announced a strategic investment from Citi, launched new AI platform features to accelerate enterprise AI and agents, and reported record FY25 performance fueled by surging AI demand. The company remains focused on helping data-driven organizations achieve faster decision-making, better performance, and greater architectural flexibility across environments.
2. CData
CData, headquartered in Chapel Hill, North Carolina, is a leading data connectivity company dedicated to simplifying access to any data, anywhere. Founded by technologists, the company empowers users and enterprises to connect seamlessly with data across hundreds of on-premises and cloud applications. CData's suite of self-service products enables real-time data connectivity, breaking down silos and driving more connected, data-driven operations. From live data integration to advanced analytics enablement, CData solutions support business users, developers, and IT teams alike in accelerating cloud adoption and maximizing data utility.
CData serves millions of users worldwide, ranging from SMBs to large enterprises and it currently processes 2.7 billion queries per month across over 2,000 CData-powered apps. Recent strategic collaborations underscore CData's commitment to deepening enterprise capabilities—most notably, its partnerships with SAP to bolster embedded connectivity within SAP Business Data Cloud, with Palantir to extend data access in Foundry, and with Google Cloud to expand embedded connectivity options. As CData continues to enhance its platform reach, the company remains focused on simplifying enterprise data workflows and scaling access across the modern data stack.
3. Snowplow
Snowplow, founded in 2012 by Alex Dean and Yali Sassoon, is a leader in customer data infrastructure for AI, empowering organizations to convert raw behavioral data into high-fidelity, governed data pipelines. Built for digital-first companies, Snowplow delivers granular, real-time event-level data that fuels AI-driven applications such as advanced analytics, real-time personalization engines, and AI agents. Its offerings allow teams to generate and model rich behavioral data across the customer journey while maintaining full transparency and ownership. The platform supports integration with data lakes, warehouses, and streams—enabling customers to predict behavior, detect fraud in real time, and personalize user experiences at scale.
Headquartered in London with a team of over 130 employees, Snowplow serves thousands of global organizations, including Strava, HelloFresh, Auto Trader, Burberry, and DPG Media. The company recently launched Snowplow Signals, a real-time intelligence system designed for AI applications, and introduced a revamped BigQuery Loader that cuts costs and enhances schema flexibility across multi-cloud environments. Additionally, Snowplow joined Databricks' Data Intelligence for Marketing initiative to accelerate AI-driven marketing capabilities. As Snowplow continues to deepen its partnerships and expand its product suite, it remains focused on enabling businesses to build AI-ready data infrastructure with full control and contextual depth.
4. SAS
SAS has been a global force in analytics software for nearly 50 years. As a trusted partner to thousands of organizations worldwide, SAS empowers businesses and governments to make informed, timely decisions by transforming complex data into clear, actionable insights. Its open, cloud-native platform supports a wide range of use cases—from forecasting and fraud detection to customer intelligence and operational efficiency. SAS offerings span advanced analytics, machine learning, and industry-specific solutions that enable clients to find clarity in fast-moving data environments and drive meaningful outcomes.
With a workforce of over 12,000 employees and customers in more than 140 countries, SAS serves enterprises across financial services, healthcare, manufacturing, government, and more. Its commitment to enabling customer success is bolstered by strategic collaborations and cutting-edge product advancements. In the past year, SAS launched custom AI models aimed at solving real-world business challenges and partnered with the Orlando Magic to elevate fan engagement using AI-driven insights. As SAS continues to evolve its AI and analytics capabilities, it remains focused on shaping a smarter, data-driven future for organizations worldwide.
5. Databricks
Databricks, founded in 2013 by the original creators of Apache Spark™, Delta Lake, and MLflow, is a leading data and AI company headquartered in San Francisco. Built on an open lakehouse architecture, its flagship Data Intelligence Platform provides a unified foundation for data, governance, and AI, empowering both technical and non-technical users to harness data with ease. With a mission to democratize access to data and AI, Databricks enables organizations to discover insights through automation and natural language tools, while also supporting the development of secure data applications. Today, more than 15,000 organizations, including Block, Comcast, Condé Nast, Rivian, and Shell, rely on Databricks to drive business outcomes and operational efficiency.
With over 7,000 employees and offices across the globe, Databricks supports over 60% of the Fortune 500 and maintains a wide-reaching customer base across industries. Its strong strategic alliances include a recently extended partnership with Microsoft, reinforcing its enterprise capabilities. In a move to expand globally, Databricks has committed over $250 million to India over the next three years to enhance its data and AI ecosystem. The company has also recently launched a Free Edition of its platform and pledged $100 million to nurture the next generation of data and AI professionals as it looks to the future of analytics.
6. Snowflake
Snowflake delivers the AI Data Cloud, a global platform that empowers organizations to unify, analyze, and share data seamlessly across public cloud environments. Founded in 2012, Snowflake was purpose-built to harness cloud computing’s full potential, allowing businesses to centralize siloed data and power diverse workloads—from data warehousing and engineering to data science and application development. By offering near-unlimited scalability, high performance, and secure data sharing, Snowflake enables enterprises to unlock the full value of their data while supporting use cases across industries and geographies.
With nearly 7,000 employees worldwide, Snowflake supports thousands of customers across industries, including financial services, healthcare, retail, and media. The company has made key strategic moves in the past year, including a $200 million investment to launch its Silicon Valley AI Hub and boost AI startup development. Snowflake also partnered with LA28 and Team USA to serve as the central data collaboration platform for the Olympic and Paralympic Games and rolled out next-generation compute enhancements to deliver faster, more efficient data warehousing and AI-driven governance. As Snowflake continues to expand its ecosystem, the company remains focused on advancing enterprise AI capabilities, strengthening cross-cloud operability, and driving data accessibility on a global scale.
7. Splunk
Founded in 2003, Splunk is a leading platform for security and observability, enabling organizations to monitor, manage, and safeguard their digital environments. Now operating under Cisco following its 2024 acquisition, Splunk continues to empower security operations, IT operations, and engineering teams with powerful data-driven tools that help identify, respond to, and mitigate digital disruptions. The platform supports businesses in preventing security breaches, minimizing downtime, and ensuring seamless digital operations. Its integrated capabilities in security analytics, application performance monitoring, and infrastructure visibility help some of the world’s largest enterprises maintain uninterrupted service and operational stability.
Headquartered in San Jose, California, Splunk serves a global customer base across industries. The company’s recent 2025 Global State of Security report revealed the urgent need for more connected security operations, underscoring Splunk’s role in enabling unified approaches to cybersecurity. It also introduced enhancements to its OpenTelemetry experience, allowing users to more effectively gather, process, and correlate observability data. Looking ahead, Splunk is focused on deepening its global reach and expanding integrated solutions that help customers operate confidently in complex digital environments.
8. Tiger Analytics
Tiger Analytics, headquartered in Santa Clara, California, is a global leader in AI and analytics, supporting Fortune 1000 enterprises in addressing their most complex challenges. With over a decade of experience, the company designs and operationalizes data- and AI-driven transformation programs tailored to real-world business needs. Its full-stack capabilities span strategic consulting, data engineering, advanced analytics, and machine learning. Tiger Analytics empowers clients to act decisively in uncertain environments by delivering solutions that drive measurable outcomes. Its domain-centric approach and deep business value chain understanding allow it to go beyond standard models and craft unique, scalable offerings.
With a global workforce of over 4,000 professionals, Tiger Analytics serves a broad client base across industries and geographies. The company maintains strong alliances with major cloud platforms and system integrators. Notable developments in the past year include a strategic partnership with Google Cloud to accelerate the adoption of Agentspace and a collaboration with Zebra Technologies to build next-gen GenAI solutions. These moves underline Tiger Analytics’ focus on advancing AI capabilities and building trusted ecosystems. The company continues to expand its reach and invest in domain-specific AI applications that help enterprises drive meaningful, future-ready change.
9. Alteryx
Alteryx, headquartered in Irvine, California, is a global leader in AI-driven data analytics, empowering organizations to make smarter, faster decisions with accessible, AI-ready data. With over two decades of experience, Alteryx has become synonymous with simplifying complex data tasks through its low-code, no-code platform. Its flagship solution, Alteryx One, unifies data access, preparation, analytics, and action in a governed environment, enabling users across technical skill levels to move from manual reporting to dynamic data storytelling. More than 8,000 customers worldwide leverage Alteryx’s capabilities to automate analytics, improve revenue performance, manage costs, and mitigate risk across their operations.
Alteryx serves a diverse client base ranging from small businesses to large enterprises, has forged strategic alliances with leading tech players, and is one of the founding members of the AI Integrators Council, a consortium aimed at advancing responsible AI adoption. In May 2025, Alteryx announced Alteryx One, a unified suite of AI analytics tools, reinforcing its commitment to streamlined data intelligence. As Alteryx continues expanding its platform, it remains focused on elevating enterprise productivity through accessible analytics and AI integration.
10. ChainSys
Founded in 1998, ChainSys is a global leader in enterprise data management and ERP implementation solutions. With over 25 years of experience, the company is known for its Smart Data Platform—an end-to-end, no-code solution that addresses complex data challenges, including migration, integration, consolidation, master data management, quality, governance, and visualization. ChainSys originally began with the development of its own ERP system, which is still in use by companies worldwide. Today, its Smart Data Suite enhances or integrates with major ERP systems like Oracle, SAP, Salesforce, and Microsoft to ensure streamlined operations and data clarity across all business units.
With active operations in the U.S., Canada, the UK, the Netherlands, the Middle East, India, and Singapore, ChainSys serves a global enterprise client base. The company has established strategic partnerships with industry leaders including Oracle, SAP, Salesforce, Amazon, and Databricks. Its recent advancements include continuous end-user productivity training, adherence to stringent SLAs and security protocols, and a strong commitment to best practices in data migration and quality management.
11. VAST Data
Founded in 2016 and headquartered in New York, VAST Data is a data platform software company redefining infrastructure for the AI era. The company has developed the industry’s first AI Operating System, an all-in-one platform that natively integrates storage, database, and compute capabilities. This unified system supports agentic computing and data-intensive applications, enabling intelligent agents to store, think, communicate, and act efficiently. Designed to accelerate time-to-insight for complex workloads, VAST’s platform is known for its scalable performance and radically simplified data management. With its focus on high-impact, enterprise-grade solutions, VAST empowers organizations to unlock productivity and harness the full potential of AI.
VAST Data serves a wide array of enterprise customers across multiple geographies, and its momentum is bolstered by strategic collaborations, including a major partnership with Google Cloud to accelerate AI development and deployment. VAST also expanded its capabilities by launching the industry’s first fully unified AI data platform with native block storage. Further strengthening its global footprint, VAST recently partnered with FPT to drive AI and cloud innovation in Vietnam. As it continues to scale, VAST is focused on broadening its global reach and deepening its role as a foundational enabler of next-generation computing.
12. dbt Labs
dbt Labs, founded in 2016 and headquartered in Philadelphia, Pennsylvania, is a leader in helping data practitioners build AI-ready structured data. At the core of its offering is the dbt Fusion engine, designed to deliver high-performance analytics with transparency and trust. The platform enables teams to transform raw data into actionable insights, creating a reliable foundation for enterprise-scale AI and analytics initiatives. With over 60,000 data teams worldwide leveraging dbt, including those at Siemens, Roche, and Condé Nast, dbt Labs is recognized as the standard for managing structured data that is scalable, contextual, and reliable.
dbt Labs has formed strategic alliances across the modern data stack ecosystem, recently earning the title of Snowflake Monetization Data Cloud Product Partner of the Year. The company also crossed $100 million in annual recurring revenue, reflecting its rapid growth and market traction. This year, dbt Labs launched AI-powered features designed to ease onboarding for data analysts, reinforcing its commitment to democratizing data workflows.
13. Cribl
Cribl, founded in 2018 and headquartered in San Francisco, is the Data Engine for IT and Security. Built specifically to address the evolving data challenges of enterprises, Cribl offers a vendor-agnostic suite that includes Cribl Stream, Edge, Search, and Lake. These solutions enable organizations to collect telemetry data from any source, process billions of events per second, and analyze data in any location, at any time. With a mission to help enterprises unlock the full value of their data, Cribl empowers IT and security teams with the control, flexibility, and efficiency required to adapt to rapidly changing environments.
Cribl serves a global customer base that includes Fortune 1000 companies. Its recent strategic alliance with Palo Alto Networks aims to accelerate AI-driven SecOps adoption, reinforcing Cribl’s commitment to security-focused data solutions. The company also announced surpassing $200 million in annual recurring revenue, reflecting over 70% year-over-year growth. In addition, Cribl expanded its telemetry management capabilities to provide centralized control with localized flexibility, ensuring enterprises maintain visibility and governance without sacrificing performance. Cribl is focused on deepening strategic partnerships and refining its product suite to meet the evolving demands of modern data infrastructure.
14. Neo4j
Neo4j, the graph database and analytics leader based in San Mateo, California, has been at the forefront of connected data solutions for nearly two decades. Known for helping enterprises uncover complex patterns and relationships within billions of data connections, Neo4j powers use cases such as fraud detection, supply chain optimization, IoT management, and personalized customer experiences. Its full graph stack features native graph storage, advanced analytics, native vector search, visualization tools, and enterprise-grade security. The platform enables organizations, from NASA to UBS, to make faster, more informed decisions by understanding their data in context.
Neo4j currently serves hundreds of Fortune 500 companies, government agencies, and NGOs. Its vibrant open-source community includes more than 250,000 developers, data scientists, and architects. Recent product developments include the launch of Aura Graph Analytics, the industry’s first graph analytics offering compatible with any data platform, and AI-powered dashboard creation in the Aura console. Additionally, the release of Neo4j Desktop 2.0 aims to redefine the local developer experience. Looking ahead, Neo4j is focused on expanding the accessibility of graph technology, delivering scalable performance, and strengthening its ecosystem through product-led growth and AI integration.
15. Zoho Analytics
Zoho Analytics, part of the expansive Zoho Corporation ecosystem, is a leading self-service business intelligence and data analytics platform that enables users to visualize, analyze, and uncover insights from their data within minutes. With over 15 years of expertise in the analytics space, Zoho Analytics offers powerful tools that support everything from interactive dashboards and data blending to predictive analytics. Designed for accessibility and depth, it caters to businesses of all sizes, empowering teams to make more informed, data-driven decisions. Its seamless integration across Zoho’s suite and third-party applications enhances productivity while preserving data accuracy and control.
Zoho Analytics supports 20,000 customers and 3 million users as it continues to expand its footprint with product advancements that directly address enterprise needs. Recent launches include Zia Agents, a next-generation AI platform for autonomous task management, Zoho Payments, which integrates financial workflows with seamless online payments, and Projects Plus, a unified, AI-enriched project management solution for mid-sized and enterprise organizations. These developments reflect Zoho’s focus on customer value and usability, backed by its proprietary tech stack and global infrastructure.
16. Immuta
Founded in 2015 and headquartered in Boston, Massachusetts, Immuta is a leader in data security, governance, and access control for complex data environments. The company empowers Fortune 500 companies and government agencies to securely operationalize data for AI, analytics, data science, and more. Its unified platform enables safe data discovery, policy enforcement, and continuous monitoring, allowing users to publish, request, and access data across all storage and compute platforms. Immuta ensures transparency and trust through real-time monitoring and reporting, reducing risk while accelerating secure data collaboration and provisioning at the enterprise scale.
The company has recently launched Immuta AI and Copilot, tools that automate and scale data sharing and access provisioning across platforms. As data ecosystems grow increasingly complex, Immuta remains focused on advancing automated, policy-driven data access to enhance efficiency and compliance across global organizations.
17. Alation
Headquartered in Redwood City, California, Alation is a data intelligence company empowering enterprises to maximize the value of their data and AI initiatives. Founded in 2012, Alation pioneered the modern data catalog and has since evolved into a comprehensive platform for data intelligence. The company’s suite of capabilities supports self-service analytics, data governance, cloud transformation, and AI readiness. With nearly 600 global customers, including Cisco, DocuSign, Nasdaq, Pfizer, and Samsung, Alation enables users to find, understand, and trust data at scale. This year, Alation introduced several advancements, including its Agentic Data Quality solution to address trust gaps in data, and launched the Data Products Marketplace and Expert Services Offering to help organizations operationalize data across the enterprise.
With more than 700 employees and a global footprint, Alation serves more than 40% of Fortune 100 companies, underscoring its wide market reach and enterprise-grade solutions. The company has cultivated a robust ecosystem of technology and service partners to support diverse, data-driven use cases. As it continues to grow, Alation remains focused on equipping organizations with the tools and services needed to foster strong data cultures and drive enterprise-wide value from data.
18. Treasure Data
Treasure Data is a leading enterprise-grade Intelligent Customer Data Platform (CDP) powered by AI. With over a decade of experience—pioneering the CDP space even before the term existed—Treasure Data is trusted by some of the world’s largest brands to unify customer data and deliver hyper-personalized experiences at scale. Its mission is to build an intelligent data foundation that improves human life. The platform offers a suite of tools that includes identity resolution, analytics, and real-time segmentation, enabling businesses to increase revenue, reduce operational costs, and strengthen customer trust.
Treasure Data supports a diverse customer base across industries, including automotive, retail, CPG, and telecom. The company continues to expand its capabilities through strategic product developments. This year, it launched AI Suites to empower teams with automation and smarter decision-making, introduced the MCP Server to allow large language models to interact directly with enterprise data, and unveiled the CDP Trade-Up Program to help enterprises migrate from legacy systems. These advancements reinforce Treasure Data’s commitment to transforming how companies engage with customers and position it for continued growth in AI-powered data solutions.
19. Atlan
Atlan, the active metadata platform for the modern data stack, empowers data teams by seamlessly integrating metadata across tools like Snowflake, dbt, Databricks, Looker, and Tableau. Founded by a data team that previously delivered large-scale projects for organizations like the UN and the Gates Foundation, Atlan was built to address the chaos they experienced internally—fragmented systems and lost context. The platform enables unified discovery, cataloging, lineage, and governance of data assets, significantly reducing the time data practitioners spend searching for and understanding data. Atlan helps leading enterprises like Unilever, Nasdaq, Cisco, and FOX build AI-readiness and drive enterprise-wide data trust.
Headquartered in Singapore, Atlan serves a global customer base of large enterprises and fast-growing tech companies. The company integrates deeply with the modern data ecosystem and recently launched its Data Quality Studio for both Databricks and Snowflake, positioning itself as a unified trust engine for the AI-native era. With backing from GIC, Insight Partners, Sequoia Capital India, and Salesforce Ventures, Atlan continues to advance its strategic focus on enterprise-wide data democratization and AI governance.
20. Firebolt
Firebolt, headquartered in Palo Alto, California, is a cloud data warehouse purpose-built for AI applications. With a cloud-native architecture engineered for sub-second performance, high concurrency, and multi-dimensional elasticity, Firebolt delivers the speed and flexibility required by modern data teams without the overhead of traditional solutions. Since its founding, Firebolt has focused on solving the data infrastructure bottlenecks faced by organizations building AI-powered systems. Its core offerings include an ultra-fast analytics engine and a scalable warehouse platform that enables seamless processing of large-scale, data-intensive workloads.
With $270 million in funding raised to date, Firebolt serves a global customer base that includes forward-thinking enterprises and AI-driven developers. The company continues to expand its reach and accessibility through strategic product updates, such as the launch of Firebolt Core, a free self-hosted version of its platform, and the introduction of Firebolt Editions, giving customers tailored compute options. As Firebolt advances, it remains focused on enhancing real-time data experiences and supporting next-generation AI application development.
21. Airbyte
Airbyte, founded in 2020 and headquartered in San Francisco, is a leading open-source platform for EL(T) data integration. Designed to help data teams move structured and unstructured data across systems, Airbyte enables replication from applications, APIs, and databases to destinations such as data warehouses and lakes. Its mission is to simplify data integration through an open-source approach, allowing users to customize and scale over 400 connectors across multi-cloud and hybrid environments. The platform supports low-code, no-code, and AI-powered connector development, and gives teams flexibility to manage data pipelines through APIs, Terraform, Python SDKs, or a web UI. Airbyte’s infrastructure is built with a strong commitment to data security and compliance, giving enterprises the tools they need to transform raw data into actionable insights.
Airbyte serves more than 7,000 organizations globally, with customers ranging from startups to large enterprises across various industries. In 2025, Airbyte rolled out significant product updates, including the Winter 2025 Release with expanded observability, data governance controls, and workspace management, as well as enhancements in May 2025 that further streamlined connector creation and orchestration. The company also partnered with MindsDB for a joint hackathon, showcasing the potential of real-time machine learning integration. Moving forward, Airbyte is focused on expanding its connector ecosystem and refining its platform to meet the needs of AI-driven data operations.
22. GoodData
Founded in 2007 and headquartered in San Francisco, GoodData is a leading AI-native analytics platform built to deliver real-time, governed insights at speed and scale. With over 15 years of experience, the company empowers organizations to embed and extend analytics across their operations using a composable, end-to-end platform. Designed for developers, product teams, and data leaders, GoodData’s suite spans business intelligence, artificial intelligence, and its proprietary Analytics Lake—enabling seamless data integration, AI-assisted analytics, and the creation of customized data applications that drive smarter decision-making.
GoodData currently supports over 3.6 million users and 140,000 companies worldwide. Its recent product innovations include the launch of GoodData AI, a framework to embed and scale AI-assisted analytics, an AI assistant for secure, embeddable generative analytics, and AI-powered Smart Search to deliver intuitive, context-aware insights. These advancements reinforce the company’s commitment to expanding accessible, trusted analytics.
23. Hex Technologies
Hex Technologies is a modern AI-powered workspace built for data science and analytics teams. Designed to bridge the gap between technical and non-technical users, Hex offers a collaborative environment that integrates SQL, Python, and no-code tools, enhanced by built-in AI assistance. The platform allows users to develop insights, build shareable data apps, and publish reports seamlessly, eliminating friction across workflows. By enabling faster exploration and broader accessibility of data, Hex empowers teams to unlock more value from their data assets.
Founded in 2020 and headquartered in San Francisco, Hex already serves thousands of organizations globally, including high-profile clients such as Reddit, Cisco, Figma, Anthropic, and the NBA. The company recently secured $70 million in Series C funding to support its rapid growth and product development. In addition, Hex continues to lead conversations around industry trends, as reflected in its recent State of Data Teams 2025 report, which explores the intersection of AI and self-service analytics. As it scales, Hex remains focused on expanding its platform capabilities and redefining how teams collaborate with data across organizations.
24. Tamr
Founded in 2013 and headquartered in Cambridge, Massachusetts, Tamr is a leading provider of AI-native Master Data Management (MDM) solutions. Built on research from MIT’s Computer Science and AI Lab and co-founded by Turing Award winner Mike Stonebraker and Andy Palmer, Tamr is transforming how organizations unify and operationalize data. Its platform accelerates the discovery, enrichment, and maintenance of Golden Records—accurate, real-time data assets that power better decision-making, revenue growth, and enhanced customer experiences. Unlike traditional rules-based or DIY MDM approaches, Tamr’s patented, AI-driven system with human oversight delivers value in days and scales efficiently across business applications and users.
Tamr’s Customer 360 capabilities help organizations improve data accessibility and usability across teams and systems. The company recently reported strong revenue and customer growth for FY 2025, signaling heightened demand for trusted data solutions. Tamr continues to invest in expanding its capabilities, connecting data across source systems and integrating third-party enrichment with a single click. With an eye on global expansion and operational excellence, Tamr remains committed to making trusted, real-time data the foundation of every business decision.
25. Matillion
Matillion is a leading data pipeline and integration platform built to empower data teams with greater speed, scale, and simplicity. Since its inception in 2011, Matillion has focused on helping businesses unlock the full value of their data by streamlining the creation and management of pipelines for AI and analytics. Its unified platform blends no-code interfaces with AI-driven capabilities, enabling teams to integrate data from diverse sources and deliver business-ready data with minimal engineering effort. By eliminating friction in data workflows, Matillion allows users to focus on delivering meaningful insights and business outcomes.
Matillion serves enterprises and data professionals around the globe and continues to strengthen its ecosystem through strategic partnerships, including its recent launch of a native integration on the Snowflake Marketplace, enhancing ease of use for Snowflake users. In 2025, Matillion introduced its Agentic Data Team initiative, designed to boost productivity by leveraging intelligent workflows and automation. As the company doubles down on expanding its Snowflake collaboration, its strategic focus remains on maximizing cloud scalability, enabling AI readiness, and enhancing productivity for data-driven organizations worldwide.
