The 15 Hottest AI Data And Analytics Companies: The 2025 CRN AI 100
Here are 15 data management and data analytics technology companies, part of the CRN AI 100, that are playing an outsized role in AI today.
“Without data, there can be no AI,” said Airbyte co-founder and CEO Michel Tricot in a statement about the growing use of the Airbyte data movement platform to provide data for training AI large language models or moving data into LLMs for operational and analytical AI applications.
Data management technology developers play a key role in helping organizations collect, integrate, prepare and manage data for AI and GenAI applications and the models that power them.
Data analytics software companies, meanwhile, are racing to build AI capabilities into their offerings, including AI agents and natural language querying functionality, that make sophisticated data analysis possible for everyday business users.
As part of CRN’s AI 100 list, here are 15 data management and data analytics companies that are playing an outsized role today.
Airbyte
Michel Tricot
Co-Founder, 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. In January it said organizations are increasingly using Airbyte to integrate data within vector databases for AI needs.
Alluxio
Haoyuan Li
Founder, Chairman, CEO
Alluxio’s Enterprise AI data management platform leverages the company’s core data orchestration technology to meet the demands of data-intensive AI and machine learning workloads such as deep learning and large-scale model training and deployment.
Alteryx
Andy MacMillan
CEO
The Alteryx AI Platform for Enterprise Analytics provides automated data analytics and visualization capabilities. The Alteryx AiDIN GenAI engine, introduced in 2023, provides a boost to the platform’s analytics capabilities using AI, GenAI, large language models and machine learning.
Couchbase
Matt Cain
Chair, President, CEO
Couchbase offers its Capella cloud database for developing critical transaction, analysis, mobile and AI applications. Capella AI Services, in private preview, aims to accelerate agentic AI application development. In February the company said its Capella AI Model Services have integrated Nvidia NIM microservices.
Databricks
Ali Ghodsi
Co-Founder, CEO
Databricks is one of the heavy hitters in the AI space with its flagship Databricks Data Intelligence Platform for building, deploying and managing enterprise-scale data analytics and AI systems. The company waded deeply into AI model development with its $1.3 billion acquisition of MosaicML in 2023.
Dbt Labs
Tristan Handy
Founder, CEO
Dbt Labs’ data transformation technology—including Dbt Cloud—is used by analysts and data engineers to improve and maintain the integrity and accuracy of data that powers AI projects. In October the company launched Dbt Copilot, an AI engine that automates data development tasks and accelerates analytics workflows.
Domino
Nick Elprin
Co-Founder, CEO
Domino’s original Enterprise MLOps platform focused on tracking and managing data science activity throughout an organization. Today Domino—previously Domino Data Lab—offers its Enterprise AI Platform and tools such as Domino Governance for rapidly assembling, scaling and governing AI workloads.
DotData
Ryohei Fujimaki
Founder, CEO
The DotData Enterprise machine learning platform streamlines AI model development by automating data science workflows, data discovery and feature engineering processes. The new Feature Factory 1.3 with AI-powered feature discovery helps data scientists extract deeper insight.
EDB
Kevin Dallas
CEO
EDB has been expanding beyond its roots of selling a transaction-oriented, Oracle-compatible database based on open source PostgreSQL. In 2024 it debuted EDB Postgres AI, a database that can tackle transactional, analytical and AI application workloads. The new database offers rapid analysis for transactional data.
Informatica
Amit Walia
CEO
Informatica’s Intelligent Data Management Cloud platform offers an extensive range of capabilities, including data integration and engineering, data catalog, quality and observability, and governance—providing the data management foundation for AI applications and ensuring reliable AI outcomes.
Pinecone
Edo Liberty
Founder, CEO
AI applications and LLMs need fast access to data, fueling the demand for vector databases that index and store “vector embeddings” for rapid data retrieval. Pinecone’s vector database, which it says is “the foundation for knowledgeable AI,” is used to build AI applications that are high-performing and scalable.
Qlik
Mike Capone
CEO
Qlik provides data integration and analytics software—key for AI operations. Qlik Staige is a suite of AI, GenAI and machine learning tools for building a data foundation for AI systems and delivering AI-enhanced analytics. Qlik Answers is a self-service tool that uses GenAI to transform unstructured data into actionable insight.
SAS
Jim Goodnight
Co-Founder, CEO
SAS has been steadily expanding the AI capabilities of its flagship SAS Viya data and AI platform and embedding AI technologies like machine learning and deep learning across the SAS portfolio. It is a pioneer in leveraging AI for specific tasks such as fraud detection and risk management.
Starburst
Justin Borgman
Founder, CEO
Starburst touts its data lakehouse platform as “rocket fuel for AI” with its ability to provide AI systems with governed, unified access to all of an organization’s data in real time—even when that data is scattered across hybrid IT environments. Its software is the data analytics engine behind the Dell Data Lakehouse.
ThoughtSpot
Ketan Karkhanis
CEO
ThoughtSpot is a leader in the data analytics space with its AI-powered Intelligence Platform that offers AI-guided analytics capabilities and AI-augmented dashboards. ThoughtSpot Spotter is an agentic AI tool that leverages GenAI technology to help everyday business users query data for key insight.
