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Top 68 Big Data Software SaaS Companies in May 2026

As of May 2026, there are 68 SaaS companies in Big Data Software. They have combined revenues of $2.9B and employ 15.4K people. They have raised $4.1B and serve 20M customers combined.

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
68
Revenue
$2.9B
Funding
$4.1B
Employees
15.4K

Filters

Sorting: Highest -> Lowest

Filters

Top Big Data Software Companies

Showing 10 of 19 companies ranked by annual revenue.

1
SambaNova Systems

Palo Alto, California, United States

SambaNova is the leading Enterprise AI company that delivers a full-stack infrastructure from silicon to software, specializing in machine learning and big data analytics platforms.

Revenue
$100M
Customers
-
Year founded
2017
Funding
$982M
Team size
417
Growth
-
2
Rebellions

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
Customers
-
Year founded
2020
Funding
-
Team size
184
Growth
-
3
Aiven

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
Customers
-
Year founded
2016
Funding
$419.9M
Team size
449
Growth
-
4
Aerospike

Mountain View, California, United States

Provides database server so companies can compile and analyze large amounts of data

Revenue
$42.8M
Customers
-
Year founded
2009
Funding
-
Team size
287
Growth
-
5
Dremio

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
Customers
-
Year founded
2015
Funding
$395M
Team size
378
Growth
-
6
CoffeeBeans Consulting

Bangalore, 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
Customers
-
Year founded
2017
Funding
-
Team size
336
Growth
-
7
D2iq

San Francisco, California, United States

Kubernetes platform for enterprises

Revenue
$33.6M
Customers
140
Year founded
2013
Funding
$247.4M
Team size
27
Growth
-
8
Rescale

San Francisco, California, United States

High Performance Computing Built for the Cloud

Revenue
$33.3M
Customers
-
Year founded
2011
Funding
-
Team size
218
Growth
-
9
Webscale

Santa Clara, California, United States

Cloud-native application delivery platform

Revenue
$30M
Customers
20M
Year founded
2012
Funding
$56.3M
Team size
76
Growth
5.76%
10
Qa Technologies, Inc.

Hampton, New Hampshire, United States

QAT Global is an information technology company offering cloud computing, big data, analytics, and integration solutions.

Revenue
$30M
Customers
-
Year founded
1995
Funding
-
Team size
53
Growth
468.29%

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.