Company lists · Data refreshed September 2026
Top 25 Data lakehouse platforms based in the United States
RevenueBase identified 128 data lakehouse platforms headquartered in the United States as of September 2026 and tracks 17,071 professional contacts across them, including 9,914 with verified work emails. San Francisco is the largest hub.
This list covers data lakehouse platforms headquartered in the 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 lakehouse platforms based in the 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 | 923 contacts → | ||||
Strong evidence “Couchbase's operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 691 contacts → | ||||
Partial evidence “Denodo is a global leader in data management, powering trustworthy AI agents and applications.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 432 contacts → | ||||
Strong evidence “Starburst was founded by the inventors of OS Trino so that data-driven companies could have a full-featured open data lakehouse platform powered by the #1 SQL analytics engine.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 163 contacts → | ||||
Partial evidence “Traditional warehouses and lakehouses force you to choose between performance, cost, and simplicity.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 149 contacts → | ||||
Partial evidence “We empower businesses to make data-driven decisions by providing reliable, secure and scalable cloud-based data warehousing, data governance, and data analytics solutions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 135 contacts → | ||||
Indirect evidence “Pentaho powers seamless integration, governed pipelines, real-time insights, and built-in compliance-so you can activate AI faster and move ahead with confidence.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 134 contacts → | ||||
Partial 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. | |||||
| 9 | 122 contacts → | ||||
Partial evidence “Progress MarkLogic unlocks value from complex data by making it easily discoverable and fit for purpose to build new applications, deliver decision intelligence and support your…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 109 contacts → | ||||
Strong evidence “Yellowbrick is a SQL data platform built on Kubernetes for enterprise data warehousing, ad-hoc and streaming analytics, AI and BI workloads.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 86 contacts → | ||||
Strong 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. | |||||
| 12 | 69 contacts → | ||||
Strong evidence “An integrated end-to-end big data transformation platform.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 69 contacts → | ||||
Partial evidence “Lyftrondata eliminates the time spent by engineers building data pipelines manually and makes data instantly available from 300+ connectors for insights on warehouse powered by…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 64 contacts → | ||||
Partial evidence “Data is the fuel of successful business and as the days of costly hardware and outdated infrastructure are over so, the cloud has brought the innovation the way we use, manage and…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 54 contacts → | ||||
Strong evidence “Onehouse, the pioneer in open data lakehouse technology, empowers enterprises to deploy and manage a world-class data lakehouse in minutes on Apache Hudi, Apache Iceberg, and…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 47 contacts → | ||||
Partial evidence “Run affordable open source ClickHouse® anywhere with Altinity.Cloud, BYOC, and real-time data lake features.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 41 contacts → | ||||
Strong evidence “SqlDBM is the cloud data modeling platform with direct connections to leading cloud data warehouses (Snowflake, Databricks, Google BigQuery, Microsoft Fabric, AWS Redshift).” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 32 contacts → | ||||
Partial evidence “Estuary helps organizations streamline their data integration for AI, analytics, and operational workflows without the constraints of a rigid architecture.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 31 contacts → | ||||
Strong evidence “IOMETE is the modern data lakehouse for enterprises that need stellar performance without handing control to the hyperscalers.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 30 contacts → | ||||
Partial evidence “Data infrastructure & analytics on auto-pilot With Datazip companies can ingest, store, organize, and query all their data at one place where we take care of the underlying infra…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 26 contacts → | ||||
Partial evidence “Flume allows organizations to precisely understand, explore and integrate their massive, complex data estates.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 25 contacts → | ||||
Partial evidence “Ascend.io is on a mission to make data engineering delightful.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 25 contacts → | ||||
Strong evidence “At Belle Fleur Technologies, we are re-inventing current data platforms with fully managed, serverless, cloud intelligence systems that proactively eliminating idle compute…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 22 contacts → | ||||
Partial evidence “Empower open data ecosystems to scale efficiently-without complexity or lock-in.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 22 contacts → | ||||
Indirect evidence “ChaosSearch transforms customer's cloud storage (e.g.” 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 lakehouse platforms. 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 lakehouse platforms.
- Partial evidence
- Its own public description names part of data lakehouse platforms, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name data lakehouse platforms. 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 128 data lakehouse platforms based in the United States
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Data lakehouse platforms based in the United States at a glance
As of Sep 28, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for United States, so it is reported there. Company counts and contact totals on this page are exact for United States, over 128 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 lakehouse platforms, 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 the United States whose own description of what they do matches “data lakehouse platforms”. 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 lakehouse platforms), 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 lakehouse platforms, and records with no verified work email. Companies headquartered outside United States 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, 9,914 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 lakehouse platforms by metro
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 lakehouse platforms, 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 lakehouse platforms are there based in the United States?
RevenueBase identified 128 data lakehouse platforms headquartered in the 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 has the most data lakehouse platforms?
San Francisco leads with 26 headquartered companies, followed by Palo Alto (9) and New York (6).
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 9,914 verified decision-maker contacts tracked across these 128 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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