The Coolest Data Management And Integration Tool Companies Of The 2025 Big Data 100
Part 5 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data management and data integration tool space.
Taming The Data Deluge
More than 400 million terabytes of digital data are generated every day, including data created, captured, copied and consumed worldwide. By 2028 the total amount of global digital data is forecast to reach 394 zettabytes, up from 149 zettabytes in 2024, according to market researcher Statista.
What’s more, an increasing amount of data—structured, semi-structured and unstructured—is dispersed across many locations in hybrid cloud, multi-cloud and on-premises systems.
That creates major challenges for businesses trying to maintain control of all that data and make valuable use of their data assets. They need advanced tools to identify and inventory the data they have and where it resides. They need software to collect, manage, integrate and transform data, moving it from operational systems into data warehouses and data lakes—even in real time—for analytical tasks. And they need tools to improve and maintain data quality and to govern data to ensure its usage meets privacy and security compliance requirements.
Data management and data integration software is one of the most dynamic segments of the big data universe with hundreds of vendors providing software for specific data management tasks or more complete suites of integrated tools for performing a range of data management chores.
As part of the CRN 2025 Big Data 100, we’ve put together the following list of data management and data integration software companies—from well-established vendors to those in startup mode—that solution providers should be familiar with.
This week CRN is running the 2025 Big Data 100 list in a series of slide shows, organized by technology category, spotlighting vendors of business analytics software, database systems, data warehouse and data lake systems, data management and integration software, data observability tools, and big data systems and cloud platforms.
Some vendors have big data product portfolios that span multiple technology categories. They appear in the slideshow for the technology segment in which they are most prominent.
Actian/HCL Software
Top Executive: Marc Potter, CEO
Actian offers a comprehensive portfolio of big data software including the Actian Data Intelligence Platform with data catalog, data governance, data quality and metadata management capabilities—all critical for organizations to manage and leverage their data assets for data analytics and AI initiatives.
The Actian Data Platform provides data integration, data warehouse and data analytics across hybrid environments. Other offerings include data streaming software, relational and NoSQL database software, and no-code/low-code application modernization tools.
In March Actian unveiled advancements to its Actian Data Intelligence Platform including new accelerated data discovery, self-service access, data governance and collaboration capabilities.
Based in Round Rock, Texas, Actian was acquired by HCL Technologies and Sumeru Equity Partners in 2018 and is now the data division of HCLSoftware.
Airbyte
Top Executive: Michel Tricot, CEO
Airbyte’s Open Data Movement Platform collects, integrates and manages structured and unstructured data across diverse multi-cloud environments for operational, data analysis and AI tasks.
Airbyte, which provides an open-source version of its software, offers self-managed enterprise, cloud and embedded editions of its data movement platform. At last count there were more than 300 data connectors available for the platform.
In February San Francisco-based Airbyte adopted a new pricing model based on capacity rather than data volume—a plan the company said provides customers with more predictable pricing and better accommodates the data needs of AI, data lakes and real-time analytics.
Alation
Top Executive: Satyen Sangani, CEO
Data intelligence company Alation develops data catalog technology for discovering, understanding and managing data assets, providing a central hub for information about data context, lineage and quality—all critical for data governance policies and helping data teams and business users develop trust in their data.
In March Alation, based in Redwood City, Calif., unveiled its Alation Agentic Data Intelligence Platform, what the company called a “reinvention of the data catalog for the AI era.” The new product introduced the use of AI agents to automate and guide data discovery, governance and compliance management.
Alluxio
Top Executive: Haoyuan Li, CEO
Alluxio’s Enterprise Data platform speeds up big data analytical workloads. The technology, a virtual distributed file system positioned between compute and storage, accelerates query execution for large-scale data analytics.
Building on its core data orchestration technology, in 2023 the company launched Alluxio Enterprise AI, a data management platform specifically for data-intensive AI and machine learning tasks.
Originally known as Tachyon, Alluxio, based in San Mateo, Calif., resulted from founder Haoyuan Li’s Ph.D. research at the University of California at Berkeley’s AMPLab.
Anomalo
Top Executive: Elliot Shmukler, CEO
Anomalo provides automated, AI-enabled data quality monitoring software that the company says ensures rapid detection, root cause analysis and resolution of data quality issues before they impact operations.
The company’s platform includes anomaly detection, data governance, automated data lineage, data validation and data observability capabilities.
In March the investment arm of data cloud giant Snowflake made a strategic investment in Anomalo. While the size of the investment was not disclosed, it signaled the importance of Anomalo’s already significant role within the Snowflake technology partner ecosystem.
Aparavi
Top Executive: Adrian Knapp, CEO
Aparavi’s data intelligence and automation software is used to discover, classify and optimize an organization’s unstructured data across cloud, on-premises and hybrid environments. The technology supports more than 1,600 file types.
Some 80 percent of enterprise data today is unstructured data including documents, emails, images, videos and audio files. While the potential value of that data for data analytics and, more recently, AI applications is tremendous, wrangling all that unstructured data to make it useful—or even just to make sure it’s secure—is a major challenge.
Aparavi was founded in 2017 and is based in Santa Monica, Calif.
Astera Software
Top Executive: Ibrahim Surani, Founder, CEO
The Astera Data Stack unified platform incorporates a number of unified data management functions for structured and unstructured data including data extraction, data integration and data warehousing.
The Astera platform helps businesses build and execute data pipelines with its pre-built data transformations, workflow orchestration, job scheduling and built-in connectors for popular databases, web services, cloud storage, applications and data warehouses.
In March Astera released ReportMiner 11.1 with advanced AI functionality that can ingest, extract, process and deliver data from any document format.
Astera, based in Westlake Village, Calif., got its start in 2010 when, as a consulting firm for the mortgage banking sector, it developed software to combine data from multiple sources for its clients.
Astronomer
Top Executive: Andy Byron, CEO
Astronomer’s Astro unified data orchestration and observability platform provides a unified view of an organization’s data across clouds, teams and deployments, according to the company, and ensures that data is delivered for mission-critical applications, data analytics and AI systems.
Astro is built on the open-source Apache Airflow software that’s used to author, schedule and manage data workflows. Airflow was created at Airbnb in 2014 and brought into the Apache Software Foundation’s incubator program in 2016.
In February New York-based Astronomer announced the general availability of Astro Observe, which unifies data observability and data orchestration to simplify the management of crucial data products.
Ataccama
Top Executive: Mike McKee, CEO
The Ataccama One unified data management and governance platform offers a broad range of functionality including data catalog, data quality, data observability and master data management.
In February the company launched Ataccama Lineage, a new module within the Ataccama One platform that provides enterprisewide visibility into data flows and offers organizations clear visibility of data movement from source to consumption. Ataccama Lineage, according to the company, helps data teams trace data origins, quickly resolve issues and ensure compliance.
In October the Toronto-based company debuted Ataccama ONE AI Agent, an autonomous AI data management tool that’s currently in early access.
Atlan
Top Executive: Prukalpa Sankar, Co-Founder
Atlan says its “third generation” data catalog technology helps its users find, trust and govern AI-ready data across an organization’s entire data asset universe.
The Atlan platform’s capabilities include data discovery, data lineage, metadata management and data governance. It facilitates collaboration among data teams by providing a central hub for data assets and automatically documents those assets.
The platform’s data discovery, lineage and access control tools help streamline AI initiatives by ensuring that data is ready for AI models, according to the company.
In May 2024 Atlan, based in San Francisco, raised $105 million in Series C funding.
BigID
Top Executive: Dimitri Sirota, CEO
BigID develops a cloud-native data security, privacy, compliance and governance platform that organizations use to proactively discover, manage and protect critical data assets across on-premises, hybrid cloud and multi-cloud environments.
The BigID Data Intelligence Platform’s key capabilities include data discovery and classification, data security posture management (DSPM), privacy management, data governance, data life-cycle management and data mapping.
Those capabilities make it possible to identify sensitive and critical data, classify data, and manage data life cycles—helping organizations improve their data security posture, mitigate risks, and comply with data management regulations and policies.
In February BigID, based in New York, debuted BigID Next, the next generation of the company’s platform with a modular, AI-assisted architecture that includes advanced AI for data management, AI for data discovery and classification, AI-augmented DSPM and privacy assessments, and agentic AI assistants for security prioritization and data stewardship.
CData Software
Top Executive: Amit Sharma, CEO
CData develops data connectivity and integration software that organizations use to provide real-time data access across enterprise applications and infrastructure.
Using data connectors and drivers for more than 300 data sources and applications, the CData platform provides live data access and data movement between systems. The platform includes the CData Virtuality enterprise-grade independent semantic layer, CData Sync for data replication and ETL/ELT, and CData Arc for B2B and EDI integration.
In June 2024 CData Software, based in Chapel Hill, N.C., received approximately $350 million in growth capital from Warburg Pincus with participation from Accel.
Coalesce
Top Executive: Armon Petrossian, CEO
The Coalesce data development and transformation platform is specifically designed for managing large-scale data transformation workloads on the Snowflake Data Cloud platform.
The toolset accelerates data transformation projects by helping data teams visually build, adjust and deploy data pipelines and dynamic data tables in Snowflake.
In March Coalesce acquired CastorDoc, which developed an AI-powered data catalog system that is now Coalesce Catalog, part of the Coalesce product suite. Coalesce describes the product as “an intuitive, AI-driven metadata management solution for modern data teams.”
In April 2024 San Francisco-based Coalesce raised $50 million in Series B funding, bringing its total financing to $81 million.
Collibra
Top Executive: Felix Van de Maele, CEO
Collibra’s Data Intelligence Platform provides unified governance for data and AI. The system includes data catalog, data governance, data lineage, data privacy, and data quality management and observability functionality.
Collibra, which has dual headquarters in Brussels and New York, is currently developing Collibra AI Copilot, an intelligent assistant that will help discover data assets, automate stewardship tasks and search product documentation using natural language.
Confluent
Top Executive: Jay Kreps, CEO
Confluent is a pioneer in data streaming technology. The company develops a streaming data system that enables businesses to process and manage data in continuous, real-time streams—what the company calls “data in motion”—for data-intensive applications, AI tasks and data analytics.
Confluent’s software, offered as an on-premises platform and a cloud service, is based on the open-source Apache Kafka streaming data platform that was originally developed by Confluent’s founders. Confluent’s platform goes beyond the Kafka core with additional enterprise-grade features including development tools, data governance, data connectors and support services.
In March Mountain View, Calif.-based Confluent announced the general availability of Tableflow, a tool for accessing streaming operational data and saving it in usable, open table formats such as Apache Iceberg or Delta Lake.
Datadobi
Top Executive: Ian Leysen, CEO
Datadobi develops unstructured data management software that the company says brings order to heterogeneous unstructured data storage and hybrid cloud environments.
Datadobi’s StorageMAP platform manages unstructured data by synchronizing data between multi-cloud and hybrid cloud systems. The platform is based on Datadobi’s patented unstructured data mobility engine technology.
In March Datadobi, based in Leuven, Belgium, released StorageMAP 7.2 with new metadata query and expanded reporting capabilities.
DataPelago
Top Executive: Rajan Goyal, CEO
Startup DataPelago exited stealth in October with what the company described as the world’s first “universal data processing engine” that can handle the complexity and volume of today’s data for “accelerated computing” analytical and artificial intelligence workloads.
DataPelago’s technology is designed to overcome the performance, cost and scalability limitations of current-generation IT systems and meet the needs of what the company calls “the accelerated computing era.”
The company’s engine processes data in the most efficient way possible based on available hardware resources and the data being processed. The result, according to the company, is a unique architecture that enables the engine to process data one to two orders of magnitude faster than traditional query engines.
The startup’s system was built to support GenAI and data lakehouse analytics workloads by employing a hardware-software co-design approach, according to the company. The engine is designed to work with today’s data stacks including CPU-, GPU-, TPU- and FPGA-based hardware; data processing frameworks such as Spark, Trino and Apache Flink; multiple types of data stores; and data processing platforms such as Snowflake and Databricks.
DataPelago, founded in 2021 and based in Mountain View, Calif., has cumulatively raised $47 million in seed and Series A funding.
dbt Labs
Top Executive: Tristan Handy, CEO
Fast-growing dbt Labs offers a data transformation framework and workflow tool that enables data engineers and data analysts to effectively transform data in data warehouses, helping data teams manage data pipelines and improve data quality.
By allowing users to write SQL queries to transform data, creating tables and views within data warehouses, the dbt software enables data analysts to take on more tasks traditionally handled by data engineers, according to the company.
In October Philadelphia-based dbt Labs expanded its dbt Cloud data management and transformation platform with new features and capabilities to streamline and automate data development processes. And In January the company acquired SDF Labs, a developer of SQL code analyzer tools, to boost the “SQL comprehension” capabilities of the dbt Labs platform.
Denodo
Top Executive: Angel Vina, CEO
The Denodo Platform uses logical data management and data virtualization technology to create a universal semantic layer, providing a data fabric across an organization for managing and integrating data for use in data warehouses, data lakes, AI systems and more.
Denodo, based in Palo Alto, Calif., says its platform provides users with self-service capabilities that allow them to find, query, integrate and securely share data assets both on-premises and in the cloud.
Denodo 9.1, released in November, offered new AI capabilities and enhanced data lakehouse performance. Denodo also offers its Denodo Platform capabilities through Denodo Agora, a fully managed cloud service running on the Amazon Web Services cloud.
Domino Data Lab
Top Executive: Nick Elprin, CEO
Domino Data Lab offers the Domino Enterprise AI Platform, a unified system that provides model development, MLOps, collaboration and governance capabilities for building, deploying and managing AI workloads.
The platform helps data scientists make data AI-ready by helping them access data from any source including data warehouses and data lakes, file repositories, databases and data storage systems across hybrid cloud, multi-cloud and on-premises environments.
In October Domino Data Lab, based in San Francisco, launched Domino Governance, new software that automatically orchestrates the model life cycle and embeds AI within the data science workflow.
Fivetran
Top Executive: George Fraser, CEO
Fivetran is a leading provider of automated data replication and data movement technology used to collect data from a broad range of operational systems and move it into data warehouses, data lakes and database systems.
Fivetran, for example, can retrieve data in operational ERP and CRM systems, SaaS applications, databases, file systems and other data sources and load it into destination systems including data warehouses, data lakes, and on-premises and cloud databases. There the data can be transformed and made available for such tasks as real-time analytics, AI and machine learning workloads, business operations and cloud migration projects.
The company now boasts more than 700 prebuilt data connectors and Fivetran customers are moving more than 6,080 terabytes of data every month.
In March Fivetran announced an expanded partner program with new discount opportunities for resellers, additional go-to-market collaboration plans, and enhanced rebates for influencers that take on a bigger role through the customer sale and on-boarding cycles.
Hitachi Vantara/Pentaho
Top Executive: Sheila Rohra, CEO
Hitachi Vantara is a leading provider of IT systems for data infrastructure including data storage management, AIOps and data protection systems. In the big data space, the company’s portfolio includes AI and analytics software (including the HitachiIQ AI portfolio) and data governance solutions.
Pentaho, a business unit of Hitachi, develops a data intelligence and integration platform that provides a number of data discovery, availability and governance capabilities. The modular platform includes Pentaho Data Integration, Pentaho Business Analytics, Pentaho Data Catalog, Pentaho Data Quality and Pentaho Data Optimizer – all designed to connect to existing and evolving data environments.
Immuta
Top Executive: Matthew Carroll, CEO
The Immuta Data Security Platform helps organizations quickly discover sensitive data, monitor and audit data usage, unify data access control across multiple platforms, and simplify data policy creation and enforcement.
These capabilities, according to the Boston-based company, make it easier to derive full value from data and use it to provision data analytics systems, AI applications and other big data initiatives.
In March Boston-based Immuta unveiled Immuta AI, a new foundation layer within the Immuta platform designed to “infuse AI across the [Immuta] platform to enhance data governance at scale.” Within the Immuta AI layer is Immuta Copilot, which generates data access policies from natural language prompts.
Informatica
Top Executive: Amit Walia, CEO
Informatica is a longtime player in the big data space and a pioneer of data integration and ETL (extract, transform and load) technology.
Today the company’s extensive technology portfolio, led by its flagship Intelligent Data Management Cloud platform, includes data catalog, data integration, data quality and observability, master data management, data governance and privacy, and application and API integration capabilities.
The IDMC platform is powered by the company’s CLAIRE AI engine, which uses machine learning to automate the platform’s capabilities and make recommendations.
In May 2024 Informatica launched the CLAIRE GPT GenAI-powered data management assistant.
Just this month, Informatica, based in Redwood City, Calif., introduced new AI-powered cloud integration and master data management capabilities within the IDMC platform—also powered by CLAIRE.
Matillion
Top Executive: Matthew Scullion, CEO
Matillion offers its Data Productivity Cloud, a unified platform for building and managing data pipelines, creating no-code data transformations and delivering data for analytics and AI tasks.
Data Productivity Cloud’s extensive capabilities span data connectivity, ELT (extract, load, transform) for data aggregation and transformation, data pipeline automation and management, data security and more.
In March Matillion, with dual headquarters in Manchester, U.K., and Denver, unveiled the availability of the Data Productivity Cloud natively on the Snowflake Marketplace. That will allow joint customers to leverage Matillion through their Snowflake ecosystem.
NetApp
Top Executive: George Kurian, CEO
NetApp is best known for its data storage infrastructure with hardware and software offerings for storing and managing data in both on-premises and cloud environments. The company is one of the leading companies on the CRN 2025 Storage 100.
NetApp’s technology portfolio does extend into the data management realm with a number of products. The NetApp BlueXP line of unified data management tools, for example, includes BlueXP Copy and Sync for moving data from a source system to a target. NetApp also offers Instacluster Managed Platforms for the Apache Cassandra and PostgreSQL databases and Apache Kafka data streaming application.
Nexla
Top Executive: Saket Saurabh, CEO
Nexla’s automated data engineering and integration platform tackles the problem of data variety that makes preparing data for analytics and AI tasks a major challenge.
The Nexla system offers a range of capabilities to eliminate integration bottlenecks and generate unified data products. Capabilities cover data integration, data ETL/ELT, streaming data integration, change data capture, API integration, and a no-code retrieval augmented generation (RAG) framework.
Key to the platform’s functionality are its universal bi-directional connectors, Nexsets “logical data units” or data containerization building blocks, and the Nexla data fabric architecture.
Nexla, based in San Mateo, Calif., released a major upgrade to the Nexla integration platform in March that expanded its no-code integration, RAG pipeline engineering, and data governance capabilities to make enterprise-grade GenAI more widely accessible.
Precisely
Top Executive: Josh Rogers, CEO
The Precisely Data Integrity Suite is a portfolio of software tools for improving data to make better decisions.
The suite includes applications for high-speed data integration, data quality, data integrity, data governance, master data management, data enrichment, location intelligence and customer engagement applications, among others.
On March 31 Precisely, based in Burlington, Mass., said it had acquired DTS Software, a global mainframe storage optimization software developer, in a move to expand its mainframe optimization offerings and expertise.
Reltio
Top Executive: Manish Sood, CEO
Reltio’s cloud-based data unification and master data management (MDM) platform uses AI-powered automation to transform siloed, poor-quality data from disparate sources into a single, reliable data source.
The Reltio Data Cloud provides operational multidomain MDM and entity resolution capabilities, and data products that provide 360-degree views of domains. Platform capabilities include data quality, data governance and data integration; reference data management; and “match and merge” and reference data management functionality.
In March Reltio introduced “zero-copy” integration with Microsoft Fabric, allowing Reltio Data Cloud on Azure to store, manage and share data on Microsoft’s OneLake. Reltio said the integration enables Reltio Data Cloud to fuel Microsoft Fabric services with high-quality data for analytics and AI.
Striim
Top Executive: Ali Kutay, President, CEO
The Striim Platform and Striim Cloud systems provide real-time data integration and streaming capabilities that connect diverse data sources and applications, making it possible for organizations to collect, process and deliver data in real time for analytics, business intelligence and AI tasks.
The platforms utilize streaming SQL for in-flight data transformations, allowing for real-time data processing and analysis, and change data capture to identify changes in databases and enable real-time data replication and synchronization.
In November the company launched Striim 5.0 with more than 50 new features including generative AI integration, Striim Copilot, expanded enterprise connectivity, and enhanced security and data privacy.
Striim relocated its headquarters to Palo Alto, Calif., in February.
Syncari
Top Executive: Nick Bonfiglio, CEO
The Syncari Autonomous Data Management platform helps organizations manage, unify and activate data across multiple systems. The platform uses intelligent data synchronization, data cleansing, and data merger and augmentation to ensure data consistency and accuracy.
In December Syncari announced the general availability of new capabilities in the Syncari Autonomous Data Management platform including Unified Insights for real-time business intelligence and Auto Field Mapping for mapping standard and custom fields across integrated systems.
Tamr
Top Executive: Anthony Deighton, CEO
Tamr describes itself as the AI-native master data management company, providing real-time master data for every person, application and dashboard within an organization.
The Tamr platform provides AI/ML mastering, data quality and data enrichments functionality. The company also offers data products in such areas as B2B and B2C customers, health-care providers and organizations, and suppliers. Other data applications in the Tamr portfolio include Customer 360, Healthcare 360, CRM Consolidation and Entity Resolution.
The company launched the Tamr RealTime features for its master data management platform in July 2024.
Tamr, based in Cambridge, Mass., said in March that it closed out its fiscal 2025 (ended Jan. 31) with 65 percent growth in annual recurring revenue and 50 percent growth in the number of customers.
Unstructured
Top Executive: Brian Raymond, CEO
Unstructured has developed technology that captures complex unstructured data and transforms it into clean, structured data that’s more easily used for data analytics and generative AI purposes.
The Unstructured Enterprise ETL Platform routes unstructured data, such as text and documents, through “dynamic transformation and enrichment pipelines” and delivers it to graph and vector databases where it can be accessed by the large language models that power GenAI systems, according to the company.
The platform also includes an ETL Workflow Builder tool and third-party integrations. Unstructured also provides the Unstructured Developer Toolkit for building custom integrations and embedding models.
Unstructured, based in San Francisco, raised $40 million in Series B funding in March 2024.
Vast Data
Top Executive: Renen Hallak, CEO
Vast Data describes its platform as a comprehensive, scalable software platform that unifies storage, database and containerized compute into a single system that simplifies data management for AI and deep learning workloads.
The Vast Data Platform is capable of storing, cataloging, enriching and securing huge volumes of data, according to the company, and supports various data formats such as file, object and database—providing a unified view of all data.
Platform components include the Vast DataBase and Vast DataStore for managing structured and unstructured data, respectively; Vast DataSpace for providing data access from edge to cloud; and the Vast DataEngine that provides actionable data insight.
In March Vast Data unveiled new capabilities within the platform that allows it to unify structured and unstructured data into a single DataSpace.
Weka
Top Executive: Liran Zvibel, CEO
Weka describes its Weka Data Platform as an AI-native data platform that’s designed to modernize an organization’s data stack and optimize high-performance computing workloads within large-scale, data-intensive environments that can include on-premises, hybrid cloud and cloud data pipelines.
In March Weka unveiled its Augmented Memory Grid capability, which integrates Weka Data Platform software with Nvidia accelerated computing, networking and enterprise software to accelerate AI inference. The company also integrated its platform with the Nvidia AI Data Platform reference design.
Weka, based in Campbell, Calif., raised $140 million in Series E funding in May 2024.
