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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

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Top Big Data Software Companies

Showing 10 of 16 companies ranked by annual revenue.

1
Voror Health Technologies Ltd

London, England, United Kingdom

Specialists in providing Health Data Platform as a service, Cloud Computing, Health Data Normalisation at scale. AWS and Healthcare Data Integration. We supply the Discovery Data Service to One London, currently serving 7.5m live, individual citizens. We exist to provide information for real time individual direct care, population health, research, analytics, and business intelligence. We manage mission critical deployments of Discovery Data Service. Handling between 5bn to 15bn calls on the data per day. Talk to us about connecting health and social care data in your region, ICS, or country. We connect data from multiple sources, normalising the data for onward use by our uniquely designed Information Manager 2. Our model is to work with you as a partner. Our leaders are all world class with over 20 years experience in their field. We have designed, developed and run in mission critical service, systems that manage populations greater than 30 million. Email [email protected] and talk to us about your plans and aspirations.

Revenue
$990K
Customers
-
Year founded
2021
Funding
-
Team size
9
Growth
-
2
Scala Computing

New York, New York, United States

Developer of a cloud-based high-performance computing (HPC) platform designed to leverage big compute on-demand, on the cloud. The company's platform deploys large-scale high-performance computing environments in the cloud and is integrated with the company's proprietary job scheduler, offering a highly automated and efficient method of running highly complex scientific and engineering applications, enabling organizations to access to the high-performance computing infrastructure they need to run their mission critical applications and attain results faster, reduce costs and drive innovation.

Revenue
$747.1K
Customers
-
Year founded
2015
Funding
-
Team size
24
Growth
26.5%
3
Supergrain

San Francisco, California, United States

Data, Enterprise, SaaS - Data infrastructure to power modern business intelligence tools and data applications.

Revenue
$739.3K
Customers
-
Year founded
2021
Funding
$6.8M
Team size
4
Growth
25.73%
4
Cloudcraft

United States

Cloudcraft by Datadog is the leading platform to create smart AWS diagrams. Our platform allows you to design a professional architecture diagram in minutes with the Cloudcraft visual Designer. We save your team time by importing Live AWS service inventories at a click-of-a-button. Cloudcraft allows you to generate and render service information from AWS EC2, AWS ELB, AWS Lambda, AWS RDS, AWS DynamoDB, AWS Kinesis, AWS Redshift, AWS CloudFront, AWS Route 53 and more. Cloudcraft Blueprints present data where you need it. Blueprints are live and by clicking any component you can view current service configuration and forecast your cloud spend. For model-based systems engineering you may add documentation directly to your diagram components and share diagrams with your team. A powerful Live blueprint of your AWS environment is one click away.

Revenue
$660K
Customers
-
Year founded
2016
Funding
-
Team size
6
Growth
-
5
GraphGrid

Wooster, Arizona, United States

Developer of graph database management platform designed to facilitate aggregating, managing, securing and analyzing multi-source data at scale. The company's platform unleashes the power of enterprise Neo4j and Amazon cloud services through embracing data relationships at the core of the architecture and provides 24/7 deployment, management, operation and support for an entire ecosystem of services, enabling users to have rapid connection and analysis of their enterprise's data.

Revenue
$649.5K
Customers
-
Year founded
2018
Funding
-
Team size
5
Growth
57.7%
6
Chocolate Cloud ApS

Skødstrup, Denmark

Provider of a cloud data storage and coding platform. The company provides a cloud-based platform that stores, tracks, analyzes and decodes bulk databases via a network coding software.

Revenue
$637.4K
Customers
-
Year founded
2014
Funding
-
Team size
5
Growth
204.39%
7
ForePaaS

Neuilly-sur-seine, Ile-de-france, France

ForePaaS provides a multi-cloud platform of data engineering to scale and secure data projects in record time.

Revenue
$555.8K
Customers
-
Year founded
2014
Funding
$10M
Team size
13
Growth
-
8
PolyScale.ai

Redwood City, California, United States

PolyScale.ai is an AI-driven database cache. Using smart caching, it improves query performance, lowers network latency and makes global data access and scale engineering a breeze, both on premise and at the edge.

Revenue
$440K
Customers
-
Year founded
2020
Funding
-
Team size
4
Growth
-
9
cloud infra LLC

Bangalore, Karnataka, India

CloudInfra builds soft infrastructure services on the cloud. Our flagship product helps users use linux power tools (grep, sed, awk, ...) on their data stored on cloud. Imagine running a grep on Tbs of data stored on S3 with in few seconds. Not just that, we allow you to run map-reduce kind of operations all in your familiar linux commands, no java/pig scripts to learn. Cloudinfra is founded by Ex-Google guys, with immense experience handling big data and machine learning.

Revenue
$439.6K
Customers
-
Year founded
2012
Funding
-
Team size
10
Growth
26.5%
10
Ryax Technologies

Lyon, Rhone-alpes, France

Developer of an infrastructure software designed to build smart services on top of IOT. The company's software enables fast and complex computations of live data upon hybrid infrastructures like Edge, Fog and Cloud, which helps to ease and optimize various application executions, providing clients with better performance, simplicity, security and data privacy for their applications.

Revenue
$402.4K
Customers
-
Year founded
2017
Funding
-
Team size
10
Growth
34.44%

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.