The Coolest Data Management And Integration Tool Companies Of The 2026 Big Data 100
Part 3 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.
Managing The Big Data Wave
It’s estimated that 173 zettabytes of digital data was created in 2025—that’s nearly half a zettabyte or about 474 million terabytes every day, according to the DesignRush website. That number is expected to more than triple by 2029 to 527 zettabytes per year or about 1.44 zettabytes every day.
What’s more, less of that data now resides in easy-to-manage/protect/utilize systems within corporate data centers and is instead dispersed across many locations in hybrid cloud, multi-cloud and on-premises systems. Some data resides across different geographical locations and is governed by different regional and national laws and regulations.
All this comes at a time when the need for data—and not just more data, but more trusted data—is exploding thanks to the surge of data hungry AI applications and agents now being developed and put into production.
Businesses and organizations today face serious challenges in tracking and maintaining control of all this data and making valuable use of these data assets for operational, analytical and AI tasks.
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 products for specific data management tasks or more complete suites of integrated tools for performing a range of data management chores.
This corner of the big data technology has also been notable in the last year for a wave of big-dollar acquisitions largely driven by major IT vendors that need to provide for AI-ready data for their AI-enabled products.
Salesforce, for example, completed its $8 billion acquisition of data management leader Informatica in November while IBM recently completed its $11 billion purchase of real-time/streaming data technology developer Confluent. And SAP is in the process of buying master data management tech developer Reltio to help customers more effectively manage and prepare data for business analytics and AI tasks.
As part of the CRN 2026 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 2026 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 (a division of HCL Software)
Top Executive: Marc Potter, CEO
Actian is the data and AI division of HCLSoftware, which is itself the software business division of Noida, India-based HCLTech.
Actian’s broad product portfolio of data management and data intelligence software provide a wide range of capabilities including database, data warehouse, data quality, data observability and data integration.
Actian, headquartered in Santa Clara, Calif., recently introduced Actian AI Analyst, a conversational analytics tool that makes it possible to query data using natural language without writing SQL code or relying on data teams. Also new this year is the company’s Data Observability Agents that continuously validates data as it is ingested into a data lakehouse.
In December HCLSoftware struck deals to acquire Jaspersoft, a developer of embedded analytics and reporting software, and Wobby, an early-stage startup that provided AI data analyst agents for data warehouses.
Adeptia
Top Executive: Charles Nardi, CEO
Adeptia describes itself as “the intelligent data automation company” with its AI-native Adeptia Automate data operations platform that ingests, maps, validates and orchestrates complex enterprise data for actionable intelligence. Platform capabilities include data workflow orchestration and automation and data observability and monitoring.
In April the company, based in Jupiter, Fla., launched Adeptia Automate 5.2 with the addition of a native Model Context Protocol (MCP) server, a new Observe Dashboard for real-time visibility into data workflows, and nine new monitoring tools covering workflow status, execution history, triggers, transactions and system diagnostics. The new release also offers expanded AI capabilities, including AI Mapping Co-Pilot, for more efficiently building and managing integrations.
Airbyte
Top Executive: Michel Tricot, Co-Founder and CEO
Airbyte is a leading company in the data integration and data movement space with its open-source data integration platform and ETL tools for replicating and transforming data from hundreds of sources and moving it into databases, data warehouses and data lakes.
At last count Airbyte offered more than 600 connectors to data sources including operational applications like Salesforce and SAP, social media such as Reddit and Instagram, data platforms such as Snowflake Cortex and Google BigQuery, and databases like Oracle DB, Couchbase and Microsoft SQL Server.
Airbyte Enterprise Flex, unveiled in September 2025, offers organizations the ability to break down data silos in on-premises, hybrid-cloud and multi-cloud systems for analytical and AI tasks while providing controls for managing data sovereignty across the globe.
Alation
Top Executive: Satyen Sangani, CEO
Alation is a key player in the metadata management and data catalog technology arena with its Alation Agentic Data Intelligence Platform that automates a range of data cataloging, governance, lineage and quality management tasks.
In May 2025 Alation, headquartered in Redwood City, Calif., acquired Numbers Station, a startup pioneer in building AI agents for managing data workflows. The company followed that up in October with the launch of the Alation Agent Builder platform for building, deploying and managing metadata-aware AI agents for structured data
In March Alation announced the general availability of Alation Curation Automation, a tool for automating metadata governance at scale.
Alluxio
Top Executive: Haoyuan Li, Founder and CEO
For large-scale, data-intensive analytical and AI workloads, the link between data storage and compute functions can often be a performance bottleneck.
Alluxio, headquartered in San Mateo, Calif., develops data orchestration software that overcomes that problem with compute-side distributed data caching capabilities for accelerating large-scale data analytics and AI workloads.
The company’s platform is based on the Tachyon open-source virtual distributed file technology developed by Alluxio’s founders at the University of California, Berkeley’s AMPLab.
Anomalo
Top Executive: Elliot Shmukler, Co-Founder and CEO
Anomalo’s AI-powered data quality and observability platform is used by data teams—including data engineers, analysts and stewards—to detect, investigate and resolve issues within data warehouse systems.
The Anomalo system utilizes machine learning, rather than manually developed SQL rules, to autonomously identify data anomalies. The company’s Anomalo Intelligent Data Analyst (AIDA) allows data managers to ask questions and perform data analyses using natural language queries.
In April, Palo Alto, Calif.-based Anomalo introduced a new set of autonomous agentic capabilities the company calls “Self-Driving Data” through which data can monitor itself, explain what changed, and flag what’s important without waiting for people to ask.
Aparavi
Top Executive: Adrian Knapp, Founder and CEO
The Aparavi Data Suite is an enterprise data intelligence platform that discovered, classifies, analyzes and optimizes unstructured data across on-premises storage and hybrid cloud systems. The system provides a unified view of an organization’s data, assisting with data security, governance and compliance efforts.
More recently, the Aparavi platform has been playing a role in helping businesses identify and prepare data for AI initiatives and ensure sensitive data isn’t misused or exposed.
Aparavi’s U.S. headquarters is in Santa Monica, Calif.
Astronomer
Top Executive: Pete DeJoy, Co-Founder and CEO
Astronomer offers its flagship Astro cloud-based data operations platform that empowers data teams to build, operate, observe and manage data pipelines—a critical element of supplying data to business analytics and AI systems.
Astro incorporates Apache Airflow, the open-source software used for developing, scheduling and monitoring batch-oriented data workflows. Astronomer’s portfolio includes Astro Private Cloud, an Airflow-as-a-service offering.
Astronomer, based in New York, raised $93 million in Series D funding in May 2025.
Ataccama
Top Executive: Mike McKee, CEO
The Ataccama ONE platform provides data quality, observability, governance, catalog, lineage and master data capabilities for improving AI, analytical and business outcomes.
The company’s product lineup also includes Ataccama One AI, an autonomous agentic AI data steward built into the core platform, and the Ataccama Cloud data management platform.
In February Ataccama, headquartered in Boston, unveiled Agentic Data Observability within Ataccama One, a new capability that the company said extended the platform’s data quality functionality to data pipelines and incident workflows. That, according to Ataccama, helps ensure the integrity of data used to power AI agents.
In December Snowflake Ventures, the investment arm of data cloud giant Snowflake, made a strategic investment of undisclosed size in Ataccama. The two companies are also leveraging integrations between their platforms with the growing need for high-quality data for AI applications and agents.
Atlan
Top Executive: Prukalpa Sankar, Co-Founder and CEO
Atlan develops what it calls a next-generation active metadata management platform that the San Francisco-based company says provide a context layer for the modern data stacks that support AI and data analytics operations.
The Atlan software performs multiple data management functions including data discovery and cataloging, helping users find and understand data assets across an organization, and data governance and security tasks.
In March Atlan and BigID, a developer of data intelligence technology for data security and compliance tasks, announced enhanced integration between their products to unify structured and unstructured data discovery, classification, lineage and cataloging.
CData Software
Top Executive: Amit Sharma, Founder and CEO
CData Software, a developer of data integration and connectivity technology, describes itself as “the data layer for AI.” The company’s CData Connectivity Platform provides live data access and data replication across more than 350 sources along with semantic intelligence and built-in data governance.
In September 2025 the Chapel Hill, N.C.-based company debuted CData Connect AI, built on the company’s core platform and the Model Context Protocol standard. That system integrates AI applications, agents and workflows and provides AI systems with governed, real-time business data. In March the company expanded CData Connect AI with new connectivity, context and control capabilities.
Coalesce
Top Executive: Armon Petrossian, Co-Founder and CEO
Coalesce describes its technology as a “data operating layer” for controlling data pipelines and scaling data analytics and AI applications.
The San Francisco-based company develops a data management platform that provides data modeling, data transformation, and data governance capabilities, enabling faster data pipeline development and streamlines data ETL/ELT processes.
Coalesce works with leading data platforms such as the Snowflake Data Cloud, the Databricks Data Intelligence Platform, Microsoft Fabric, Amazon Redshift and Google BigQuery.
In March Coalesce acquired SYNQ and its AI-powered data observability and reliability technology. At the same time the company launched Coalesce Quality, which combines data transformation, cataloging and quality management functionality.
Collibra
Top Executive: Felix Van de Maele, Founder and CEO
Collibra’s data intelligence platform is designed to unify data cataloging, data lineage, data observability and quality management, and data and AI governance functions across enterprise systems.
In April Collibra and Google Cloud announced an expansion of their strategic partnership, integrating Collibra with Google Cloud Knowledge Catalog to provide joint customers with unified data discovery, semantics and compliance within the Google Cloud ecosystem.
Collibra, headquartered in New York, made several acquisitions in 2025 including Raito, a developer of data access governance technology, and Deasy labs, a startup specializing in automated discovery and enrichment of unstructured data.
DataBee, a Comcast Company
Top Executive: Nicole Bucala, VP and GM
DataBee has developed a security and compliance data fabric that organizations use to manage data security, risk and compliance challenges.
At the heart of the DataBee system is a data integration platform that ingests data from multiple, disparate sources and aggregates, compresses, standardizes, enriches, correlates and normalizes the data before transferring the dataset to a repository for analysis. The system unifies and operationalizes high-volume data such as security telemetry, IT operational data, identity, vulnerabilities, IT assets and GRC (governance, risk and compliance) evidence.
In February DataBee expanded its platform with DataBee RiskFlow, an agentic capability that security and compliance teams use to ask plain-language questions of their data and receive explainable, traceable answers that include underlying logic, lineage and supporting evidence.
Datadobi
Top Executive: Ian Leysen, Co-Founder and CEO
Datadobi develops a data management system that provides businesses and organizations with a global view of all their unstructured data across heterogeneous network-attached storage and cloud environments.
That view helps IT managers, data teams and cybersecurity teams manage, migrate, protect and optimize unstructured data. Data management and security teams, for example, can apply governance, risk and compliance policies to their unstructured data, protecting critical and sensitive data and managing data exposure.
Knowing what unstructured data a company has and where it is stored also makes it possible to leverage that data for a range of analysis, reporting and collaboration tasks.
In November Datadobi unveiled Advanced Storage Optimizer, a new capability within StorageMAP 7.4 that provides visibility into cost-reduction opportunities around data storage.
DataPelago
Top Executive: Rajan Goyal, Founder and CEO
DataPelago Accelerator for Spark, powered by the company’s Nucleus universal data processing engine, turbocharges big data processing workloads within existing Apache Spark clusters by moving compute-intensive tasks to heterogeneous processors such as GPUs, FPGAs and advanced CPUs.
The company says its technology can boost execution speeds by up to 10x and reduce cloud infrastructure costs by up to 80 percent. That, according to the company, helps eliminate the data processing bottlenecks that often hinder AI projects.
Dbt Labs
Top Executive: Tristan Handy, Founder and CEO
Dbt Labs develops a platform used to develop and execute data transformation jobs, enabling data teams to transform raw data—such as data generated by an operational application—into data that can be loaded into a data warehouse for data analytics and AI tasks.
In May 2025 dbt Labs unveiled dbt Fusion, a new engine for the company’s flagship data development platform that the company said dramatically boosted the system’s performance and scalability and enhanced the data developer experience.
Dbt Labs just completed a merger with FiveTran, a developer of automated data movement and connectivity software, in a move that unifies the companies’ complementary data movement, transformation, metadata management and activation capabilities and creates a powerhouse player in the open data infrastructure space.
Denodo
Top Executive: Angel Vina, Founder and CEO
Denodo’s data management platform uses data virtualization to provide unified access to data that’s distributed across an IT estate, including on-premises and multi-cloud systems, without the need for data replication. It offers a way for organizations to tap into data that resides in far-flung databases, SaaS applications and cloud storage systems and query them as a single virtual database.
In addition to providing access to distributed data for business analytics and AI tasks, the Denodo system also provides federated data governance for centralized oversight and policy compliance.
The Denodo Platform 9.4 launched in March with the new Lakehouse Accelerator, support for the Model Context Protocol (MCP), and a conversational agentic Ai experience that offers a new way to interact with data.
Diliko
Top Executive: Dave Albano, CEO
Diliko has developed a cloud-based data management and orchestration platform that is specifically targeted toward mid-size enterprises that need help handling complex data pipelines.
The platform’s autonomous data orchestration capabilities manage the entire data pipeline lifecycle including data ingestion, schema mapping, and data synchronization across different databases and cloud environments. It automates ETL and reverse ETL processes and unifies disparate data engineering tools into a single system.
The platform also includes embedded data governance, data security and real-time regulatory compliance capabilities.
In June 2025 the company launched the Diliko Partner Program for consulting firms, analytics service providers and systems integrators.
FiveTran
Top Executive: George Fraser, CEO
FiveTran offers a fully managed, cloud-based data movement and integration platform that extracts data from a wide range of sources—including business applications, databases and websites—and loads it into a central destination such as a data warehouse or data lake.
The company’s strength is the hundreds of pre-built connectors—for more than 700 data sources, at last count—for extracting data from popular applications such as Salesforce, Workday, Google Ads, Shopify, SAP, HubSpot, Facebook and Instagram.
FiveTran just completed a merger with dbt Labs, a leading data transformation platform developer, in a move that unifies the companies’ complementary data movement, transformation, metadata management and activation capabilities and creates a powerhouse player in the open data infrastructure space.
Fluree
Top Executive: Brian Platz, Co-Founder and CEO
Fluree is a key tech provider for businesses and organizations looking to build an “intelligence stack” for preparing and serving up data for AI.
The Fluree Enterprise Suite, based on the company’s flagship knowledge graph database, provides a governed semantic system that brings together enterprise structured and unstructured data, content, taxonomy and vocabulary to create “connected knowledge” for AI applications and agents.
Immuta
Top Executive: Matthew Carroll, CEO
Immuta develops a cloud-native data security and governance platform that automates how organizations discover, secure and provide access to sensitive data for data analytics, AI tasks and other uses.
The system’s capabilities include data discovery and classification, automated data provisioning, dynamic access control, and continuous data monitoring and auditing.
In April the company added capabilities to the data platform for provisioning and governing access to enterprise data in real-time.
Kyvos Insights
Top Executive: Praveen Kankariya, CEO
Kyvos Insights provides universal semantic layer technology for business intelligence and AI applications. The software bridges the gap between massive, raw data sources and the end-user BI tools and AI agents that need data to do their jobs.
The system is designed to handle petabytes of data, allowing users to run complex, multidimensional queries on billions and even trillions of data rows.
In February Kyvos Insights announced integration between its platform and Anthropic’s Claude Cowork, providing the agentic AI assistant with access to enterprise data.
Matillion
Top Executive: Matthew Scullion, CEO
Matillion is a leading player in the data integration arena with its unified Data Productivity Cloud for building and managing data pipelines and creating no-code data transformations for use in data analytics and AI applications.
In June 2025 Matillion launched Maia, an autonomous agentic AI data engineering system built into the Matillion Data Productivity Cloud, which acts as a virtual data engineering team that can build and manage complex data pipelines.
NetApp
Top Executive: George Kurian, CEO
NetApp, which calls itself the “intelligent data infrastructure” company, is an IT industry powerhouse in the data storage business with its on-premises hardware and software systems and its cloud storage services.
NetApp’s offerings reach beyond traditional storage to include a range of data management products and services. The company’s NetApp AI Data Engine, co-engineered with Nvidia and introduced in October 2025, is a comprehensive AI data service that manages data ingestion and preparation, automates data change detection and data synchronization, and connects data across global data estates including tools and models running on-premises or in the cloud.
Nexla
Top Executive: Saket Saurabh, Co-Founder and CEO
Nexla’s enterprise-grade data integration and operations platform acts as a bridge between fragmented data sources, such as SaaS applications and databases, and the analytical tools and AI agents that need the data. The goal is to transform unorganized, disparate data into ready-to-use data products called “Nexsets” without complicated coding.
In November Nexla debuted Express, a conversational data engineering platform that the company said simplifies the complex, time-consuming process of integrating and preparing data from multiple sources to create context for AI applications.
Onix
Top Executive: Sanjay Singh, CEO
Onix provides an agentic AI platform, Onix Wingspan, that’s designed to bridge the gap between fragmented enterprise data and the effective use of that data for AI operations. At the heart of the platform is the company’s semantic twin technology that maps an organization’s data landscape, system dependencies and business context.
Wingspan is itself made up of several data management tools including Eagle, a data warehouse assessment tool; Raven, an automated code conversion tool that accelerates cloud migration: Pelican, an AI-enabled data validation and reconciliation tool; and Kingfisher, a synthetic data generator for training AI models.
In April Onix unveiled Wingspan 2.0, positioned as an “enterprise intelligence fabric” for creating an AI-first operating model at scale.
Pentaho, a Hitachi business unit
Top Executive: Maggie Laird, President
Pentaho provides an enterprise-class data integration and business analytics platform with tools for data ETL (extraction, transformation and loading), a data catalog, data quality management, data optimization, data pipeline automation, and visual analytics.
In February Pentaho introduced Pantaho Data Integration and Business Analytics Version 11, what the company described as a significant evolution of the platform that simplifies data integration and analytics workflows.
The V11 release includes the new browser-based Pipeline Designer for building data jobs and transformations, the new Project Profile for organizing pipeline development projects, and enhancements in data modeling, governance and usability in Pentaho Business Analytics.
Precisely
Top Executive: Walid Abu-Hadba, CEO
The Precisely Data Integrity Suite, the company’s flagship platform, is a set of interoperable cloud services designed to help organizations deliver agentic-ready data throughout complex environments.
The suite’s broad range of capabilities include data integration, data governance, data quality, data observability, geo addressing, data enrichment and spatial analysis.
In February Precisely expanded the Data Integrity Suite with new AI agents for enhanced data quality, data enrichment and location intelligence.
In May the company debuted Data Integration Agent, which assists data teams in designing and configuring data replication pipelines by handling setup, schema mapping and validation tasks. At the same time the company launched a data product marketplace, through a partnership with Huwise; new APIs for data integration, data quality and data catalog; and a hosted Model Context Protocol Server.
Quest Software
Top Executive: Tim Page, CEO
Quest Software’s portfolio spans a broad range of cybersecurity, platform modernization and data management products—all built around a new corporate strategy and new brand identity announced in September 2025.
The data management lineup is led by the Trusted Data Management Platform, introduced in February, with the Quest Automated Data Product Factory at its core. The platform melds data cataloging, data governance, data quality and data marketplace capabilities into a single SaaS system for delivering trusted, AI-ready data. The platform was expanded in May with Quest Data Modeler and Quest Data Intelligence.
Other data management products offered by Quest include Quest Foglight database observability software, the Quest Toad database management and administration toolset, and Quest SharePlex database replication software.
Redpanda
Top Executive: Alex Gallego, Founder and CEO
Redpanda is a leading provider of high-performance data streaming technology for building real-time data pipelines for AI, analytics and event-driven applications.
In October Redpanda acquired Oxla, a developer of distributed SQL engine technology. At the same time, the company launched the Redpanda Agentic Data Plane, combining its data streaming software with the Oxla SQL engine and Redpanda Connect, the company’s extensive suite of around 300 data connectors.
In December the company established a strategic alliance with cloud computing giant Akamai through which Redpanda’s data streaming software runs on the Akamai Cloud platform, broadening Redpanda’s potential market.
And in March Redpanda debuted Redpanda Streaming 26.1 with a new version of its R1 streaming engine that’s optimized for AI by unifying mission-critical applications, agentic AI workloads and data lakes on a single platform.
Rubrik
Top Executive: Bipul Sinha, Co-Founder and CEO
Rubrik’s cloud data management, data security and cyber resilience platform protects data across on-premises, cloud and SaaS environments by unifying data backup and recovery, sensitive data classification, and proactive threat monitoring capabilities.
In March Rubrik launched its Semantic AI Governance Engine (SAGE) that the company said is designed to secure and control autonomous agents in real time, helping businesses and organizations overcome a governance bottleneck that slows many AI projects. SAGE powers the Rubrik Agent Cloud, which the company described as a control layer for AI agents.
Rubrik went public in April 2024. For its fiscal 2026 (ended Jan. 1) Rubrik reported total revenue of $1.32 billion, up 48 percent from $886.5 million in fiscal 2025.
Salesforce
Top Executive: CEO Marc Benioff
Salesforce, a giant in the cloud application space, has been expanding its offerings in the big data arena in recent years, most recently completing its $8 billion acquisition of cloud data management leader Informatica in November.
With the acquisition Salesforce took possession of Informatica’s broad portfolio of tools for data integration and transformation, data quality and governance, and more within Informatica’s Intelligent Data Management Cloud. Salesforce said the acquisition was driven by the need for clean, unified, trusted data for its enterprise AI tools.
In 2019 Salesforce acquired Tableau and its industry leading data analytics visualization software in a $15.7 billion deal. The Tableau technology has since been positioned as an analytics engine integrated with the Salesforce product portfolio including the Salesforce Data Cloud and Salesforce Agentforce.
The company’s Salesforce Data 360 platform is used to unify data from the company’s own applications, third-party ERP systems and data warehouses to create comprehensive customer profiles.
SAP
Top Executive: Christian Klein, CEO
Application powerhouse SAP has a number of data management and analytics tools, many built into the company’s SAP Business Technology Platform and SAP Business Data Cloud, that work with the company’s ERP applications and other business software.
BTP includes an in-memory database and data federation, business intelligence and planning functionality while the Business Data Cloud, built on BTP, includes a business data fabric and data analytics capabilities.
In March the company struck a deal to buy master data management platform developer Reltio with plans to incorporate that technology within the SAP Business Data Cloud to create a master data record of SAP and non-SAP data that AI agents can tap into.
In May SAP announced a deal to acquire Dremio, which develops a data lakehouse that supports the Apache Iceberg data table standard. The Dremio technology will be used to transform the SAP Business Data Cloud into an agentic data lakehouse to power AI agents.
Starburst
Top Executive: Justin Borgman, Co-Founder and CEO
Starburst’s core federated data technology, based on the Trino distributed SQL query engine, provides a way to query and manage data across disparate sources while leaving the data in place. The technology serves as a platform for Starburst’s products including Starburst Galaxy, a fully managed, cloud-native data lakehouse for discovering, querying, analyzing and governing data across multiple sources.
The company recently introduced the Starburst Enterprise Intelligence Platform, the company’s latest offering that enables organizations to run AI directly on governed data across distributed environments. That platform includes AIDA, the company’s AI data assistant and conversational analytics tool.
In February fast-growing Starburst said that in 2025 it surpassed $100 million in annual recurring revenue, reached $20 million in AI annual run rate, and recorded 40 percent year-over-year growth. The company’s products are especially popular in the highly regulated financial services sector where the company recorded 82 percent growth last year.
Striim
Top Executive: Ali Kutay, President and CEO
Striim provides real-time data integration and streaming services that collect and process massive volumes of data across applications, databases, IoT devices and cloud systems. The product’s core capabilities are change data capture, real-time data ETL, and data enrichment.
The most common applications for the Striim system are cloud migrations, fraud detection and data synchronization.
In December Striim debuted Validata, which performs data validation and reconciliation tasks at scale for mission-critical data systems and AI initiatives.
Syncari
Top Executive: Nick Bonfiglio, Co-Founder and CEO
Syncari develops a comprehensive low-code/no-code master data management platform that unifies, synchronizes, automates and analyzes data across diverse systems and applications. The system’s capabilities include data quality management and data observability.
Syncari is focused on providing trusted data for agentic AI and operational sales and customer service tasks, including developing a customer master database that provides a 360-degree view of customers. The platform also provides data for sales functions such as lead management, customer engagement and onboarding, upsell opportunities, churn prevention, ticketing automation, order-to-cash management and revenue reconciliation.
In September 2025 Syncari closed a Series B funding round, led by Escape Venture Investing, without disclosing the dollar value of the funding.
Tamr
Top Executive: Anthony Deighton, CEO
Tamr has developed an AI-native master data management system to provide trusted data for generative AI initiatives. The platform’s capabilities include data quality, data governance and data enrichment, as well as entity resolution and real-time data processing.
The company also provides a number of targeted products based on its core technology including ERP/CRM data unification, customer 360, supplier data mastering and healthcare data mastering software.
In November Tamr introduced Curator Hub, a new module for data quality and curation management that pairs AI agents with human expertise to resolve data inconsistencies, fill gaps and connected related records.
Unstructured
Top Executive: Brian Raymond, Founder and CEO
Approximately 80 percent of all enterprise data is unstructured data found in PDFs, Word documents, emails, collaboration systems and more. But almost none of that is in a format that can be used for business analytics or AI initiatives.
The Unstructured ETL platform transforms unstructured document data into structured data that can be used for business analytics tasks and, more recently, used by large language models for AI agents and applications.
The Unstructured system combines a number of technologies, including optical character recognition, layout analysis and data extraction, to process more than 60 file types (such as PDFs, Word documents and spreadsheets) into structured outputs.
In October 2025 the company partnered with IBM to link the Unstructured system to the IBM Watsonx AI and data platform, leveraging the Watsonx capabilities as it performs its data transformation tasks. (IBM Ventures participated in Unstructured’s $40 million Series B funding round in 2024.)
In March Unstructured announced that its technology is now embedded within Teradata’s Enterprise Vector Store for transforming unstructured content used by Teradata’s system.
Vast Data
Top Executive: Renen Hallak, CEO
Vast Data offers a data platform that combines database, data storage and distributed computing capabilities needed to drive data intensive workloads and agentic computing. While once tagged as a “data storage” company, Vast Data now sees itself as an “AI operating system” developer.
In March Vast Data launched Vast Foundation Stacks, an open-source library that augments and extends Nvidia AI Blueprints into production-ready pipeline implementations that run natively on the Vast system.
In April Vast Data announced a $1 billion Series F funding round that pushed the company’s valuation to $30 billion.