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Top 20 Big Data Analytics Software SaaS Companies in May 2026

As of May 2026, there are 20 SaaS companies in Big Data Analytics Software. They have combined revenues of $348.6M and employ 1.8K people. They have raised $1.1B and serve 500.1K customers combined.

Big Data Analytics Software encompasses tools and systems designed to collect, process, and analyze extensive and rapidly changing data sets. These platforms enable organizations to derive meaningful insights from large volumes of structured and unstructured data, facilitating decision-making and strategic planning. Typical use cases include predictive analytics, customer behavior analysis, operational optimization, and trend identification. Key features of Big Data Analytics Software often include data integration, real-time analytics, machine learning capabilities, and advanced visualization tools. Users typically range across various sectors, including IT, marketing, finance, and operations, with individuals like data scientists, business analysts, and decision-makers engaging with these systems to enhance their organizational intelligence. The ability to analyze data at scale not only informs business strategies but also drives innovation across industries.

Companies
20
Revenue
$348.6M
Funding
$1.1B
Employees
1.8K

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Funding (Locked)Growth (Locked)Team-Size (Locked)

Top Big Data Analytics Software Companies

Showing 10 of 3 companies ranked by annual revenue.

1
CodeFutures Corporation

Broomfield, Colorado, United States

CodeFutures Corporation is a provider of AgilData, the first agile platform for real-time Big Data platform. CodeFutures has been providing innovative high-performance database technologies to leading enterprises, and now with the advent of AgilData has created an entirely new capability for fast, easy access to meaningful data as a means of driving the real-time enterprise. CodeFutures enables new levels of dynamic schema, streaming data processing, predictive analytics and the ability to scale as fast as data volumes increase. Founded by Cory Isaacson (CEO/CTO) and Andy Grove (VP Development) in 2007, with 40+ years of cumulative database experience, CodeFutures has amassed significant expertise and capabilities in the Big Data Scalability arena. Their technologies have been used by some of the world's largest fast-growth social applications, as well as analytics, OLTP and other general purpose database workloads by customers worldwide.

Revenue
$158.9K
Customers
30
Year founded
2001
Funding
-
Team size
3
Growth
26.5%
2
Oakmore Labs

United States

Oakmore Labs delivers a SaaS platform which delivers turn-key solutions for big data management and real-time predictive analytics. Oakmore Labs' aim is to lower the complexity, required skills, and costs associated with modern data architectures - including big data, distributed computing, and machine learning.

Revenue
$77.3K
Customers
-
Year founded
2012
Funding
-
Team size
1
Growth
26.5%
3
Hangzhou Stupa Network Technology

Hangzhou, Zhejiang, China

Developer of IT system performance analysis software. The company's software analyzes JVM parameters, dump files and memory to optimize runtime and other performance indicators, enabling users to improve their IT systems.

Revenue
$25.4K
Customers
-
Year founded
2017
Funding
-
Team size
12
Growth
-

Inclusion Criteria

- Must provide capabilities for analyzing large and complex data sets - Must support real-time data processing and analytics - Must include data visualization tools to present insights effectively - Must offer integration with other data sources and tools - Not just traditional reporting; must also enable predictive and prescriptive analytics - Should allow for machine learning model deployment and management - Must cater to multiple industries and use cases, including operational, customer, and predictive analytics