Company lists · Data refreshed September 2026
Top 25 Data engineering software companies based in San Francisco, United States
RevenueBase identified 44 data engineering software companies headquartered in San Francisco, United States as of September 2026 and tracks 13,772 professional contacts across them, including 8,524 with verified work emails. Across the United States, San Francisco is the largest hub for this category.
This list covers data engineering software companies headquartered in San Francisco, United States, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 28, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 25 largest data engineering software companies based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 12,830 contacts → | ||||
Partial evidence “Databricks is the Data and AI company.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 171 contacts → | ||||
Partial evidence “Datameer: Your Solution to Self-Serve Data Analysis and Visualization.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 138 contacts → | ||||
Partial evidence “Coalesce is the data operating layer where humans and AI agents deliver data together.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 134 contacts → | ||||
Strong evidence “Saturam is a global & fast-growing Augmented Data Engineering company operated by experienced leaders and experts in Big-DataOps and Machine Learning.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 86 contacts → | ||||
Partial evidence “Census is the first Universal Data Platform that brings data transformation, activation, and governance into one collaborative workspace.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 64 contacts → | ||||
Partial evidence “External data is a special kind of hard.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 49 contacts → | ||||
Partial evidence “The best way for enterprises to collect, map, clean, transform and convert the data that powers your business” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 36 contacts → | ||||
Strong evidence “At Trifacta, we’re focused on building software that helps individuals and organizations unlock the potential of their data by providing a new approach to how data is explored and…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 24 contacts → | ||||
Partial evidence “Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 19 contacts → | ||||
Partial evidence “Etleap streamlines data ingestion and modeling, making it effortless for teams to create data products.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 19 contacts → | ||||
Partial evidence “Most businesses today depend on digital platforms, and the data they generate, for their growth and competitive edge.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 17 contacts → | ||||
Partial evidence “Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 16 contacts → | ||||
Partial evidence “We are building universal connectivity across your engineering stack.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 12 contacts → | ||||
Partial evidence “Conexus has invented a new class of data management technology that increases critical infrastructure data science speed by 100x "Increased system complexity is now beyond what is…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 12 contacts → | ||||
Partial evidence “The fastest way to build internal data tools.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 10 contacts → | ||||
Partial evidence “Stelo frees organizations from the complexities and difficulties of static data pipelines.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 8 contacts → | ||||
Indirect evidence “The best of both worlds: we are now #Sisense!” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 4 contacts → | ||||
Partial evidence “Rimba integrates fragmented data, PDFs, Excel files, time-series, IoT sensors, equipment telemetry, and system performance data, to complete a workflow, such as populating a…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 4 contacts → | ||||
Partial evidence “Airbook is the fastest way data and business teams can generate insights from any datasource- business apps, databases or data warehouses- using code or no-code.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 3 contacts → | ||||
Partial evidence “All data, no fluff.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 3 contacts → | ||||
Partial evidence “Knowledge Leaps is data platform designed to handle retail-scale data sets.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 2 contacts → | ||||
Partial evidence “Index is a modern data analytics platform.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 2 contacts → | ||||
Strong evidence “Interzoid is a Cloud Data Engineering Platform company focused on leveraging Generative AI, Machine Learning, and other algorithmic processes to improve the quality, usability…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 1 contacts → | ||||
Partial evidence “Novuz is a San Francisco Bay Area AI technology company redefining how enterprises modernize legacy data systems for the cloud era.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 1 contacts → | ||||
Strong evidence “No-Code, AI-Driven, Fully-Automated Data Engineering for Effortless ETL/ELT, Modeling, and Dynamic Dashboards.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: data engineering software companies. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names data engineering software companies.
- Partial evidence
- Its own public description names part of data engineering software companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name data engineering software companies. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 25 of 44 data engineering software companies based in San Francisco, United States
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Data engineering software companies based in San Francisco, United States at a glance
As of Sep 28, 2026Companies by employee count
Email recency for this list is measured across the whole United States list rather than for San Francisco, so it is reported there. Company counts and contact totals on this page are exact for San Francisco, over 44 companies.
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among data engineering software companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in San Francisco, United States whose own description of what they do matches “data engineering software companies”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names data engineering software companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among data engineering software companies, and records with no verified work email. Companies headquartered outside San Francisco are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 8,524 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 28, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Data engineering software companies by metro in the United States
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names data engineering software companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many data engineering software companies are there based in San Francisco, United States?
RevenueBase identified 44 data engineering software companies headquartered in San Francisco, United States as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Databricks, headquartered in San Francisco, tops this list with the largest team on record.
Which city in the United States has the most data engineering software companies?
San Francisco leads the United States with 44 headquartered companies, followed by New York (29) and Austin (13).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 8,524 verified decision-maker contacts tracked across these 44 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 28, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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