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Top 3 Big Data Analytics Software Companies Under $1M Revenue (September 2026)

As of September 2026, Latka tracks 3 big data analytics software companies under $1M in annual revenue. They have combined revenues of $261.7K and employ 16 people. They serve 30 customers combined.

Every company below sells big data analytics 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 Analytics Software Companies do

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
3
Revenue
$261.7K
Funding
-
Employees
16

Filters

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Top Big Data Analytics Software Companies Under $1M Revenue

Showing 3 of 3 companies ranked by annual revenue.

1CodeFutures Corporation logo
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
Team size
3
2Oakmore Labs logo
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
Year founded
2012
Team size
1
3Hangzhou Stupa Network Technology logo
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
Year founded
2017
Team size
12

Frequently asked questions about Big Data Analytics Software Companies Under $1M Revenue

How many big data analytics software companies under $1M in annual revenue are there?

Latka tracks 3 big data analytics software companies under $1M in annual revenue. Together they generate $261.7K in annual revenue and employ 16 people.

Which big data analytics software company under $1M in annual revenue is the largest?

CodeFutures Corporation is the largest, with $158.9K in annual revenue, founded in 2001.

How much revenue does a typical big data analytics software company under $1M in annual revenue make?

The average big data analytics software company in this list makes $87.2K a year, across 3 companies with reported revenue. They serve 30 customers combined.

Who are the leading Big Data Analytics software vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are CodeFutures Corporation, Oakmore Labs and Hangzhou Stupa Network Technology.

Related IT Infrastructure Software categories

All IT Infrastructure Software SaaS categoriesEvery category we track inside IT Infrastructure Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from Big Data Analytics to everything else.

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