Our team is composed of Silicon Valley veterans with extensive experience in data. We have sold an enterprise data company to Oracle, built machine-learning models used by millions of end users, invented novel data-matching algorithms, and built and managed the pipelines for some of the most in-use data in the world. The recent emergence of a new, modular data stack means that traditional companies and startups can now do the type of best-in-class data work that large technology companies do. We started TinyData to leverage our experience to help others build great data practices and products.
| Website | http://www.tinydata.co |
| Revenue | $5 million |
| Employees | 1 (0 on RocketReach) |
| Founded | 2017 |
| Industry | Business Services General, Information Technology, Business Services |
| Keywords | Data Analysis, Data Science, Predictive Modeling, Machine Learning, Data Engineering, Artificial Intelligence, Data Algorithms, Big Data, Business Intelligence, Data Management, Data Solutions, Data Mining, Data Integration, Database Management, Data Visualization, Data Architecture, Data Processing, Data Warehousing, Data Governance, Data Security |
| Competitors | Google, Tableau, Amplitude, Pendo.io, Segment, FullStory, Mixpanel, Sisense, Heap, Crazy Egg +39 more (view full list) |
| SIC | SIC Code 73 Companies, SIC Code 737 Companies |
| NAICS | NAICS Code 54151 Companies, NAICS Code 5415 Companies, NAICS Code 541 Companies, NAICS Code 54 Companies, NAICS Code 541511 Companies |
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The Tinydata annual revenue was $5 million in 2026.
Tinydata is based in San Francisco, California.
The NAICS codes for Tinydata are [54151, 5415, 541, 54, 541511].
The SIC codes for Tinydata are [73, 737].