- Revenue
- $288.5M
- Year founded
- 1999
- Team size
- 771
Top 10 Big Data Software Companies (November 2026)
As of November 2026, Latka tracks 51 big data software companies. They have combined revenues of $1B and employ 5.9K people. They have raised $2.2B and serve 4.7K customers combined.
Every company below sells big data software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Big Data Software Companies do
Big Data Software encompasses tools and platforms designed to store, manage, analyze, and visualize large volumes of data that traditional data processing software cannot handle effectively. These solutions enable organizations to derive insights from various data sources, helping in making data-driven decisions. Primary use cases include predictive analytics, operational intelligence, customer behavior analysis, and fraud detection, among others. Typical features of Big Data Software include data ingestion, storage, processing frameworks, and visualization capabilities. Users range from data scientists and business analysts to IT professionals who are responsible for managing the data lifecycle and ensuring data security. Common buyer personas include professionals from finance, marketing, operations, and research and development, all seeking to leverage big data for enhanced strategic decision-making.
- Companies
- 51
- Revenue
- $1B
- Funding
- $2.2B
- Employees
- 5.9K
Filters
Sorting: Highest -> Lowest
Top Big Data Software Companies by revenue
Showing 10 of 51 companies ranked by annual revenue.
New York, New York, United States
Accelerating time-to-insight for workload-intensive applications, the VAST Data Platform delivers scalable performance, radically simple data management and enhanced productivity for the AI-powered world. Launched in 2019, VAST is the fastest-selling data infrastructure startup in history.
- Revenue
- $147M
- Year founded
- 2016
- Funding
- $381M
- Team size
- 825
Seattle, WA, United States
Modern enterprises have to manage exponentially-growing exabyte-scale data stores comprised mostly of unstructured data. Someone (often IT) has the difficult job of staying on top of managing these data stores, which becomes more difficult to do as enterprise datasets expand from the data center to the edge and cloud. And while scale and complexity are rising, budgets and staff are not. Existing solutions suffer from two crucial shortcomings: Complexity and platform lock-in. Legacy solutions are excruciatingly complex to deploy and manage. And nearly every solution restricts users to running in only the data center and on expensive, inflexible proprietary hardware platforms. Qumulo is the simple way to manage exabyte-scale data anywhere — edge, core, or cloud — on the platform of your choice. In a world with trillions of files and objects comprising 100+ zettabytes worldwide, companies need a solution that combines the ability to work anywhere with simplicity. This is precisely what Qumulo was founded to accomplish.
- Revenue
- $115.7M
- Year founded
- 2012
- Funding
- $345.5M
- Team size
- 569
Seongnam, Gyeonggi-do, South Korea
Rebellions is a South Korean AI accelerator startup specializing in the development of AI hardware for data centers, including chips and systems designed for efficient inference in large-scale applications.
- Revenue
- $53.3M
- Year founded
- 2020
- Team size
- 184
Helsinki, Finland
Aiven is your AI-ready Open Source Data Platform. Aiven is an AI-ready open source data platform company, helping organizations gain more value from their data. Aiven’s cloud platform combines open choice services to stream, store, and serve data, simply, securely, and rapidly across major cloud providers to power innovation. Aiven is trusted by thousands of customers to create next-generation applications confidently and quickly. Aiven is headquartered in Helsinki and has hubs in Amsterdam, Berlin, Paris, London, Singapore, Sydney, Auckland, Austin and Toronto. To learn more about Aiven, visit https://aiven.io.
- Revenue
- $48.7M
- Year founded
- 2016
- Funding
- $419.9M
- Team size
- 449
Mountain View, California, United States
Provides database server so companies can compile and analyze large amounts of data
- Revenue
- $42.8M
- Year founded
- 2009
- Team size
- 287
Santa Clara, California, United States
Dremio is the intelligent lakehouse platform trusted by thousands of global enterprises, including Shell, TD Bank, Michelin, and Farmer’s Insurance. AI and analytics initiatives face significant delays due to the time-intensive process of dataset creation. Data engineering teams are overburdened, disconnected data sources require complex ETL processes, and prolonged iteration cycles with business stakeholders slow progress. Dremio eliminates these bottlenecks by unifying data sources without ETL, simplifying the creation of high-quality, governed datasets, and delivering autonomous performance optimization to accelerate AI. From the original co-creators of Apache Polaris and Apache Arrow, Dremio is the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow - providing flexibility, preventing lock-in, and enabling community-driven innovation.
- Revenue
- $41.5M
- Year founded
- 2015
- Funding
- $395M
- Team size
- 370
Bengaluru, Karnataka, India
CoffeeBeans Consulting is a technology partner dedicated to driving business transformation. With deep expertise in Cloud, Data, MLOPs, AI, Infrastructure services, Application modernization services, Blockchain, and Big Data, we help organizations tackle complex challenges and seize growth opportunities in today’s fast-paced digital landscape. We’re more than just a tech service provider; we're a catalyst for meaningful change. What Makes CoffeeBeans Different? At CoffeeBeans, we believe that technology should empower—not complicate—businesses. We stand apart by offering holistic tech solutions that cover every phase of growth, from Product Development to DevOps, providing seamless integration and ongoing support. Our approach focuses on both innovation and practical impact, ensuring that our solutions are not only cutting-edge but also drive real, measurable results. With specialized expertise across industries such as BFSI, AgriTech, IT, eCommerce, and Supply Chain, we tailor our strategies to address specific challenges and needs. Additionally, our flexible engagement models allow clients to access on-demand tech expertise, ensuring they stay agile and competitive in a rapidly evolving market. Technology Capabilities Our team excels in: - Cloud and Data - Big Data and Analytics - Data Science and AI/ML Model Development - Blockchain Technology - Data Engineering Partner with CoffeeBeans Consulting to take your business forward with technology that truly makes a difference.
- Revenue
- $37M
- Year founded
- 2017
- Team size
- 336
San Ramon, California, United States
Tessell is an AI-native, multi-cloud DBaaS platform that unifies transactional and analytical database management into a single intelligent control plane, automating operations, reducing costs by up to 45%, and boosting performance by over 50%.
- Revenue
- $29.4M
- Year founded
- 2021
- Team size
- 223
San Francisco, California, United States
Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, Redpanda empowers agentic applications that reason and act in real-time with speed, autonomy, and precision. Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day. Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe.
- Revenue
- $26.1M
- Year founded
- 2019
- Funding
- $265.5M
- Team size
- 188
Frequently asked questions about Big Data Software Companies
How many big data software companies are there?
Latka tracks 51 big data software companies with reported revenue. Together they generate $1B in annual revenue and employ 5.9K people.
Which big data software company is the largest?
Denodo Technologies Inc is the largest, with $288.5M in annual revenue, founded in 1999.
How much revenue does a typical big data software company make?
The average big data software company in this list makes $20.1M a year, across 51 companies with reported revenue. They serve 4.7K customers combined.
Who are the leading Big Data software vendors?
Ranked by annual revenue, the leaders are Denodo Technologies Inc, VAST Data, Qumulo, Rebellions and Aiven.
How much funding have big data software companies raised?
The 51 big data software companies tracked here have raised $2.2B in disclosed funding between them.
Related IT Infrastructure Software categories
Inclusion Criteria
- Product must be capable of handling and processing large volumes of structured and unstructured data. - Must provide advanced analytics features such as machine learning or predictive modeling. - Should include data visualization tools to present insights clearly and effectively. - Must support integration with various data sources and formats. - Not just data storage; must also offer actionable insights and analytics capabilities.