The Coolest Data Analytics Companies Of The 2026 Big Data 100
Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business intelligence space.
Analytical Approach
Data analytics, business intelligence and data visualization software is the top layer of the big data technology stack. These are the tools that everyone from everyday business users to professional data analysts use to gain insights and understanding from often massive (and growing) volumes of data and then share that knowledge throughout an organization.
These tools, ultimately, are the means of deriving value from big data.
The global business intelligence and analytics software market was $29.25 billion in 2025 and is expected to reach $31.77 billion this year, according to a Research and Markets report, ultimately growing at a CAGR of 8.8 percent to $52.7 billion in 2032. Fortune Business Insights, meanwhile, put the 2025 global business intelligence and analytics software market at $34.8 billion, reaching just under $38 billion this year and growing at an 8.4 percent CAGR to $72.2 billion by 2034.
As with all other segments of the big data arena (and the IT industry), the rapid adoption of AI technology is profoundly changing the business intelligence and data analytics space. The biggest trend over the last year has been the sprint by software vendors to build agentic AI capabilities and assistants into their products that provide guidance as users—from everyday information workers to professional data analysts—look to get the most out of their data.
As part of the CRN 2026 Big Data 100, we’ve put together the following list of data analytics and business intelligence software companies—from well-established vendors to those in startup mode—that solution providers should be familiar with.
These vendors offer everything from self-service reporting and data visualization tools for nontechnical managers and business users to high-performance data analytics software needed by analysts to tackle the most complex business intelligence tasks.
This week CRN is running the Big Data 100 list in a series of slide shows, organized by technology category, spotlighting vendors of data 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.
Alteryx
Top Executive: Andy MacMillan, CEO
Alteryx develops the AI-powered, unified Alteryx One data analytics and data processing automation platform that can prepare, combine and analyze data using a no-code, visual drag-and-drop interface.
The system automates the steps of building data pipelines, integrating and preparing data, and developing analytical and reporting workflows.
In May the company enhanced Alteryx One with new tools, including Agent Studio and Alteryx One MCP Server—new tools that the company says makes it easier to turn data-to-insight workflows into agent-driven systems.
Agent Studio provides a way for teams to package trusted datasets and business logic into reusable agents within Alteryx One while the MCP server makes it possible to extend those agents into enterprise applications and LLMs like Claude and OpenAI.
Alteryx was acquired by private equity firms Clearlake Capital and Insight Partners in March 2024 and taken private in a deal valued at $4.4 billion.
AtScale
Top Executive: Christopher Lynch, CEO
AtScale develops universal semantic layer technology that the company says bridges the gap between raw cloud data and the business intelligence tools, AI agents and large language models that need that data.
With AtScale’s technology organizations can natively connect data warehouses to front-end analysis tools, such as Salesforce Tableau and Microsoft Power BI, and AI agents and LLMs can access enterprise data using natural language queries.
The platform is used by data engineers and architects, business analysts, data scientists and AI developers. The software also creates a data record that provides a “single source of the truth” for performance metrics and company security/governance rules.
On December 18 AtScale completed its largest equity financing to date in a funding round led by Snowflake Ventures. The amount of the funding was not disclosed.
Domo
Top Executive: Josh James, CEO
Domo offers a popular cloud-based business intelligence platform that companies—and especially their managers and executives—use to connect, analyze, visualize and act on data, particularly performance data and metrics.
The company’s all-in-one system manages the underlying data integration, data transformation and business intelligence visualizations and dashboards within a single web browser. The platform provides more than 1,000 pre-built API connectors to data sources such as Salesforce, cloud databases and social media.
In March Domo debuted a new AI orchestration framework that includes an agent builder, MCP server and other tools to better “operationalize” AI agents.
For its fiscal 2026 (ended Jan. 31) Domo reported total revenue of $79.6 million, up 1 percent from the previous year.
Hex Technologies
Top Executive: Barry McCardel, Co-Founder and CEO
Hex Technologies provides an AI-powered analytics and data workspace platform that combines SQL, Python and no-code tools into a single collaborative workspace where data scientists and business teams analyze data, build interactive dashboards and share insights.
Hex raised $70 million in Series C financing in May 2025. Just before that in April the company acquired Hashboard, a developer of business intelligence tools, for an undisclosed sum.
Incorta
Top Executive: Osama Elkady, CEO
Incorta’s unified data and analytics platform uses a technology called “direct data mapping” for acquiring, processing, enriching, analyzing and presenting decision-ready data and insights. The platform is also used to fuel AI applications and agents with accurate, live business data.
In February Incorta acquired startup Layout.dev and its no-code AI application development technology. Layout.dev provides a way to turn written ideas into interactive application prototypes almost instantly. Incorta is integrating Layout.dev into its products to make it easier for business teams and developers to build and deploy intelligent applications and agentic workflows on top of the Incorta platform.
MotherDuck
Top Executive: Jordan Tigani, CEO
MotherDuck has developed a serverless data analytics/data warehouse system, built on the open-source DuckDB analytical database engine that’s rapidly growing in popularity.
The MotherDuck offering adds enterprise-grade scalability, collaboration and data-sharing capabilities to the database and splits query processing between the cloud and a user’s local machine.
MotherDuck recently debuted the Quack Protocol extension that allows a DuckDB process to act as a client, a server, or both. DuckDB 1.5 was released on March 9 and DuckDB 2.0 is scheduled for release later in 2026.
Qlik
Top Executive: Mike Lipps, Interim CEO
Qlik is one of the industry’s leading providers of data analytics, data integration and data governance technologies and could easily fit within multiple categories in the CRN Big Data 100.
Qlik Sense is the company’s flagship business intelligence tool, with capabilities for building analytical visualizations and dashboards, discovering data relationships and sharing analytical insights.
Thanks to several acquisitions in recent years, most notably Talend in 2023, Qlik has expanded beyond its business intelligence roots and become a major player in the market for data integration, data transformation, data quality management and data governance tools.
Qlik has been positioning itself as offering the technology businesses and organizations need to create a trusted data foundation for AI initiatives. At its Qlik Connect conference in April the company announced expanded agentic analytics capabilities in its data analytics platform and new data trust and governance capabilities for AI tasks.
On May 26 Qlik announced that CEO Mike Capone had “stepped down from his role after a successful eight-year tenure” and the company had hired Saugata Saha as president and CEO effective July 31, 2026. Saha joins Qlik from S&H Global where he was president of S&P Global Market Intelligence and chief enterprise data officer. Mike Lipps, Qlik chairman and an operating partner at Thoma Bravo, the private equity firm that is Qlik's majority owner, is serving as interim CEO.
SAS
Top Executive: Jim Goodnight, Co-Founder and CEO
SAS, which grew out of a late-1960s research project at North Carolina State University, turns 50 this year and develops an expansive portfolio of software for advanced analytics, data management and governance, and AI.
SAS Viya is the company’s flagship high-performance AI and analytics platform used by data teams and business analysts for managing data, building machine learning models and automating decision-making tasks.
In April the company expanded Viya with new governed AI assistants, agent infrastructure and agentic acceleration tools.
Also in April the company launched SAS AI Navigator to help organizations and managers compile a complete inventory of AI assets, including agents and LLMs, and align AI use cases with government regulations and internal policies.
Sigma Computing
Top Executive: Mike Palmer, CEO
Sigma Computing offers a cloud-based data analytics platform with a familiar spreadsheet-like user interface that business users can work using the formulas and functions they already know.
Sigma directly queries a cloud data warehouse and can analyze billions of data rows in seconds. More technical users, meanwhile, can write SQL queries and apply AI models to the data.
Sigma launched a new release of its software in September 2025 with significant enhancements and new functionality, including the new Sigma Reveal data exploration interface, major upgrades to the product’s AI features, new data application and automation tools, and advanced reporting and modeling capabilities. It also marked the debut of Sigma Tenants, a scalable foundation to manage access, content and governance across internal and embedded use cases.
In April Sigma reached the $200 million in annual recurring revenue threshold, doubling year-over-year. And in May the company closed an $80 million Series E funding round that put the company’s valuation at $3 billion.
Sisense
Top Executive: Ariel Katz, CEO
Sisense provides an AI-powered business intelligence and data analytics system for collecting, analyzing, modeling and visualizing complex data from multiple sources.
Unlike other standalone analytics tools, Sisense is focused on providing embedded analytics capabilities, enabling developers to integrate dashboards, charts and data tools directly into their own commercial applications.
The company’s platform, built on the company’s high-performance, in-memory columnar database engine, includes the Sisense Intelligence suite of agentic AI data analysis tools, hybrid analytics workflows (from the company’s acquisition of Periscope in 2019), and software development tools.
StarTree
Top Executive: Kishore Gopalakrishna, CEO
StarTree’s real-time data analytics platform is capable of ingesting massive streams of raw data—such as website user clickstreams, financial transactions and sensor logs—and processing the data for “continuous insights” analysis. The software, based on the open-source Apache Pinot database, powers customer-facing dashboards, fraud detection software and operational intelligence systems.
In 2025 StarTree debuted a version of its core technology with functionality that more rapidly provides AI applications and agents with data and analytical insights.
Strategy
Top Executive: Phong Lee, President and CEO
Strategy (which changed its name from “MicroStrategy” in February 2025) has been in the news a great deal in recent years because of its adjacent business of buying and holding Bitcoin—more than 843,700 Bitcoin as of early June valued at more than $50 billion.
But Strategy continues to be one of the leading developers of business intelligence and data analytics software with its Strategy One platform, enterprise reporting and dashboard software, and embedded analytics products. Strategy One includes Strategy Mosaic, the company’s universal semantic layer technology that unifies fragmented data systems into a single view.
Supermetrics
Top Executive: Anssi Rusi, CEO
The Supermetrics Marketing Intelligence platform offers data integration, data analytics and market intelligence capabilities specifically for marketing tasks such as tracking campaign effectiveness.
The platform collects data from more than 130 marketing, ecommerce and advertising systems (including Google Ads, Shopify, CRM applications and social media), cleans and organizes the data, and makes it available for use with spreadsheets, cloud data warehouses like Google Big Query and Snowflake, and analysis and reporting tools like Power BI and Looker.
The company recently debuted Supermetrics MCP that makes it possible to leverage AI assistants managing advertising campaigns.
Supermetrics is headquartered in Helsinki, Finland and has multiple offices across Europe. But it now has an office in Singapore and is establishing a foothold in North America.
ThoughtSpot
Top Executive: Ketan Karkhanis, CEO
ThoughtSpot has become one of the leading companies in the data analytics arena with its AI-powered ThoughtSpot Analytics platform. The system, which connects directly to popular cloud data platforms, utilizes a “live query” architecture that’s designed around conversational, natural language search, rather than complex SQL queries. Liveboards are the platform’s interactive data visualization spaces.
A key component of ThoughtSpot’s offerings is Spotter, an AI analytics agent and conversational search tool built into the ThoughtSpot platform. It allows business users to ask questions in a natural language and quickly receive answers, analytical visualizations and insights. In March the company debuted Spotter for Industries with domain-specific agents for vertical industries.
ThoughtSpot Everywhere is a low-code development framework that allows organizations to embed the platform’s conversational AI search capabilities, known as Spotter Agents, and Liveboards into custom applications.
ZenOptics
Top Executive: Heena Sood, Co-Founder and CEO
ZenOptics’ goal is to address the rapid proliferation of business intelligence tools, fragmented data analytics processes, and poor returns on data and analytics projects.
The ZenOptics Decision Intelligence Platform is an AI-powered system that unifies BI tools, spreadsheets and reporting assets into a single searchable catalog. It provides a way for organizations to govern their analytics tools, orchestrate automated business analytics workflows, and provide AI systems with the correct business context of analytical results.
The platform’s components include the Atlas centralized catalog that indexes and governs reports, dashboards and KPIs across a BI ecosystem; the Nexus AI context layer that converts data metrics into machine-readable business definitions; and the Maestro execution and control layer that maps data insights to actionable workflows.