Fundraising Fox

Datameer

San Francisco, US · Founded 2009 · Delaware corporation · 169 employees on LinkedIn · 5 known investors

Datameer offers a data analytics platform designed for data lakes, including a cloud-based product. It provides tools for data-driven analytics work for its customers.

Also known as Datameer Inc. · Datameer, Inc.

Founders & leadership

KJKenneth Jakobsen
Kenneth JakobseninExecutive
JOJon Oslowski
Jon OslowskiinVP of Finance, CPA2014–2016
LELinda Esperance
Linda EsperanceinVP, People Operations2015–2016
BFBen Fu
Ben Fuin𝕏Investor and Board2013–2023Partner at OMERS Ventures
RERalf Eiling
Ralf EilinginVice President of Design2014–2025
PVPeter Voss
Peter VossinCTO2009–2019
FHFrank Henze
Frank HenzeinVP of Innovation
MMMatt McManus
Matt McManusExecutive

Board

MB
Mark BurtonBoard director
JWJohn Walecka
John Waleckain𝕏Board directorCo-Founder at Redpoint Ventures
MM
Matt MurphyBoard director
JA
Jeffrey A. MillerBoard director

Investors · 5

Also in the syndicate · 1

ST Telemedialead

Reported raises · per SEC filings

Form D private placements

$63M disclosed across 3 of 5 rounds · 2015–2019

$8.3MraisedSep 2018 · 4 investors · Other Technology
Rule 506(b)
Officers, directors & promoters on the filing
  • Christian RodatusExecutive Officer, Director
  • Philip GilliganDirector
  • Sanjay MirchandaniDirector
  • Stephen MillerDirector
  • Ben FuDirector
  • John WaleckaDirector
  • Nikhil EapenDirector
  • George ShahidExecutive Officer
Offering amount
$8.3M
Amount sold
$8.3M
First sale
Sep 2018
Incorporated
Corporation, Delaware
Federal exemptions
06b
Full filing on SEC EDGAR ↗
$14.7MraisedApr 2017 · 9 investors · Other Technology
Rule 506(b)
Officers, directors & promoters on the filing
  • Jeffrey MillerDirector
  • George ShahidExecutive Officer
  • Matt MurphyDirector
  • Stephen Geoffrey MillerDirector
  • Nikhil EapenDirector
  • Ben FuDirector
  • John WaleckaDirector
  • Christian RodatusExecutive Officer, Director
  • Stefan GroschupfExecutive Officer, Director
Offering amount
$15M
Amount sold
$14.7M
First sale
Mar 2017
Incorporated
Corporation, Delaware
Federal exemptions
06b
Full filing on SEC EDGAR ↗
$40MraisedAug 2015 · 9 investors · Other Technology
Rule 506(b)
Officers, directors & promoters on the filing
  • Mark BurtonDirector
  • John WaleckaDirector
  • Kenneth JakobsenExecutive Officer
  • Jon OslowskiExecutive Officer
  • Linda EsperanceExecutive Officer
  • Ben FuExecutive Officer
  • Ralf EilingExecutive Officer
  • Peter VossExecutive Officer
  • Frank HenzeExecutive Officer
  • Matt MurphyDirector
  • Jeffrey A. MillerDirector
  • Matt McManusExecutive Officer
  • Nikhil EapenExecutive Officer
  • Stefan GroschupfExecutive Officer, Director
Offering amount
$40M
Amount sold
$40M
First sale
Aug 2015
Incorporated
Corporation, Delaware
Federal exemptions
06b
Full filing on SEC EDGAR ↗

Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.

Company profile

researched Aug 2026

Datameer, Inc. is a San Francisco-based software company whose current product is a multi-persona SaaS data transformation platform that runs against a customer's Snowflake instance. The platform lets users pull tables from Snowflake or upload data from a device, perform preparation and transformation operations such as blending, filtering and extraction, explore and validate datasets, manage complex pipelines through grouping, move work between development and production environments, and schedule deployments that publish results back into Snowflake. Additional modules cover job management for cloud data warehouse workloads, collaborative data quality features, cost-control dashboards for warehouse spend, AI-assisted documentation and discovery, and integration of cloud file storage into and out of Snowflake with automatic table materialization and scheduling.

The company also markets Datameer X, an earlier end-to-end ETL product for data lakes that uses a spreadsheet-style interface. Datameer X provides more than 70 connectors for structured, semi-structured and unstructured sources, over 270 preparation functions, data links and retention policies to limit data copying, "Smart Analytics" pattern discovery, data profiling at each transformation step, a schema-less Visual Explorer for interactive exploration, governance controls including access management and PII encryption, and deployment on multiple data lakes including AWS.

Historically the company sold a business intelligence platform built on Apache Hadoop, and in 2019 it described itself as a maker of data preparation and exploration software used by customers such as Thomson Reuters and Deutsche Bank, with Datameer X positioned for machine-learning data prep and a separate cloud service, Neebo, for finding and publishing analytics assets.

Business model

Datameer sells its software as a subscription SaaS product that requires no installation, infrastructure or IT maintenance by the customer; prospects can activate users immediately and evaluate the product through a 14-day free trial, after which continued use requires contacting the company. Sales motions also include booked demos and direct contact with a sales team.

Subscription software revenue from its SaaS platform, with a time-limited free trial converting to paid use via sales contact; the sources do not disclose pricing tiers or revenue figures.

Traction

Vendor-reported customer outcomes cited on the website include 5x faster building of data transformations, over 100 hours per year saved through Google Sheets automation, a 500% reduction in data engineering time, and one project completing in two days versus five weeks in SQL and two weeks in Tableau Prep. In 2019 the company cited Thomson Reuters and Deutsche Bank as users. Disclosed venture funding includes $40 million rounds in 2015 and 2019.

Latest developments

The most recent dated public activity in the sources is a March 2024 blog post on data privacy and secure analytics in the age of AI, alongside a product line centered on AI-powered transformations, warehouse cost control and cloud file storage integration for Snowflake. The management team is listed as George Shahid (CEO), Frank Henze (VP of Innovation), Matt McManus (CTO), Neli Nedelcheva (Head of People), Amar Bell (VP of Sales) and Lexi Ryman (Director of Marketing).

Full profile — market position, technology, go-to-market, geography, history

Market position

Datameer competes in the data preparation and transformation tooling market around cloud data warehouses, positioning against SQL-only workflows and tools such as Tableau Prep, and publishing comparative content referencing dbt, Alteryx, Fivetran and other modern data stack vendors. It has been backed by institutional investors including ST Telemedia, Redpoint Ventures, Kleiner Perkins, Nextworld Capital, Citi Ventures and Top Tier Capital Partners.

Datameer positions itself as purpose-built for Snowflake, keeping transformation, governance and publication inside the customer's Snowflake environment to reduce duplicate work and data movement, and combining a visual, low-code workflow with SQL capabilities so that data engineers, warehouse administrators and business users work on one platform. Datameer X differentiates through a spreadsheet-style interface, a large connector and function library, and schema-less interactive exploration. For Neebo, management argued in 2019 that replicating its combination of asset search, curated reusable datasets and source-system querying would require stitching several products together.

Technology

The current platform is a cloud-delivered, browser-based application requiring no local installation, operating natively against Snowflake for transformation, publication and scheduling, with version control, data quality checks, pipeline automation, environment promotion and AI-generated documentation and discovery. In-product help includes a chatbot and contextual UI guidance. Datameer X applies a schema-less architecture for large-scale interactive exploration and, per 2019 plans, was to add data science features plus enhanced Apache Spark and container support; the company's earlier platform was based on Apache Hadoop.

Go-to-market

Go-to-market is direct and product-led in combination: the website offers demo bookings, contact forms and a self-serve 14-day trial, supported by content marketing through a blog covering Snowflake, data transformation, BI and adjacent tooling, plus guides, datasheets, webinars and customer stories. Content is segmented by industry (financial services, healthcare and life sciences, media and telecom, retail and e-commerce), by role (marketing, sales, finance, HR, supply chain, product and customer success analytics) and by technology ecosystem (Snowflake, Tableau, Looker, Qlik, dbt, Fivetran, Alteryx, SQL). In 2019 the company said funding would be used to build out global sales and engineering capabilities.

Enterprise data teams working on Snowflake, with three named personas: data engineers deploying analytics code, warehouse administrators managing visibility and cost of the data warehouse, and business users exploring datasets published by data teams. Reported enterprise users in 2019 included Thomson Reuters and Deutsche Bank; marketing content targets financial services, healthcare and life sciences, media and telecom, and retail and e-commerce.

Geography

Headquartered in San Francisco; as of October 2019 the company also reported offices in New York, Toronto, Halle (Germany) and London.

History

At the time of a 2015 financing the company offered an Apache Hadoop-based business intelligence platform. It subsequently shifted focus to data preparation, marketing Datameer X for analytics and machine-learning data prep on data lakes. In October 2019, under CEO Christian Rodatus, it raised further capital and launched Neebo, a cloud analytics-asset service, while operating from San Francisco with offices in New York, Toronto, Halle and London. The current product line is centered on a SaaS data transformation platform built specifically for Snowflake, and the company is now led by CEO George Shahid.

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Claimed reduction in data engineering time (vendor-reported)Jan 2024500%
Claimed speed-up in building data transformations (vendor-reported)Jan 20245 x
Datameer X built-in functionsJan 2024270 functions
Datameer X data source connectorsJan 202470 connectors
Free trial lengthJan 202414 days

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Competitors · 7

by search overlap
DataCamp1284 shared keywordsDataCamp is a learning platform for teams that teaches data and AI skills through hands-on coursework accessible via web browser and mobile app. It serves enterprise customers and development teams seeking to build technical capabilities.
Truera1106 shared keywordsSnowflake is a fully managed cloud data platform that integrates data ingestion, processing, analysis, and AI application development across multiple cloud providers. It serves enterprise customers with unified security, governance, and infrastructure for building data and AI workloads.
Netezza871 shared keywordsIBM is a global technology company whose business spans enterprise software (including Red Hat, HashiCorp, and Confluent), IT infrastructure such as mainframes, servers, and storage, and IT consulting services. The company is also investing heavily in quantum computing and AI-based enterprise offerings, including its Lightwell open-source software security clearinghouse and the Anderon quantum wafer foundry.
Atlassian810 shared keywordsAtlassian offers a teamwork platform combining project planning, knowledge management, and AI orchestration tools for teams and their AI agents. Its products help organizations plan, execute, and deliver work at scale.
Sentry594 shared keywordsSentry is an application monitoring and error-tracking platform that developers integrate via SDKs to catch, root-cause, and fix errors and performance issues across development and production. It offers AI-based debugging and code review through its Seer agent, along with integrations for tools like GitHub, Slack, Jira, and Linear.
Hevodata572 shared keywordsHevo provides a data pipeline platform that transforms raw data into clean, structured datasets for reporting, dashboards, and analysis, with support for SQL and dbt Core models. It offers native orchestration, scheduling, lineage tracking, and monitoring for data teams building analytics workflows.
Databricks537 shared keywordsDatabricks provides a unified platform for data engineering, analytics, and artificial intelligence, enabling organizations to build and deploy data and AI applications on cloud infrastructure.

Companies competing with Datameer for the same Google search keywords, organic and paid, via search-intersection analysis.

Timeline · 3

launches, deals, and filings
Oct 2019
Datameer raises $40M led by ST Telemedia

Datameer announced a $40 million round led by existing investor ST Telemedia with participation from Redpoint Ventures, Kleiner Perkins, Nextworld Capital, Citi Ventures and Top Tier Capital Partners; funds were earmarked for global sales and engineering expansion, added data science features, Apache Spark and container support, and go-to-market for Neebo.

$40M source ↗

Oct 2019
Bob Page named Chief Product Officer and Benoîte Yver VP of Marketing

Datameer, then led by CEO Christian Rodatus, added Chief Product Officer Bob Page and VP of Marketing Benoîte Yver to accelerate growth of Datameer X and Neebo.

source ↗

Oct 2019
Launch of Neebo cloud analytics asset service

Alongside the 2019 funding, Datameer announced Neebo, a cloud-native self-service offering that lets analysts search, connect, combine, collaborate on and publish analytics assets, including curated reusable datasets and queries against source systems.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

Legal entities · 1

corporate structure
DatameerDelaware

In the news

Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Datameer do?
Datameer is a SaaS data transformation and analytics platform built natively for Snowflake.
Who are Datameer's investors?
Datameer's investors include Kleiner Perkins, Citi Ventures, Redpoint Ventures, Top Tier Capital Partners.
How much funding has Datameer raised?
Datameer has disclosed $63M raised across 3 of its 5 known rounds.
Where is Datameer headquartered?
Datameer is headquartered in San Francisco, US.