Feast Feature Store users list

Email list of companies using Feast Feature Store

Q: How many companies use Feast Feature Store?

Data InfoMetrix tracks 5,002 companies using Feast Feature Store, with 22,585 verified contacts at those accounts as of October 2026. The largest groups are Fintech, E-Commerce and Ride-Sharing & Delivery. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Q: Who buys and manages Feast Feature Store inside a company?

Feast Feature Store is usually owned by ML Feature Stores. Decision-makers include VP of AI / ML, CTO and Head of Data Science; ML Platform Lead and MLOps Manager shape the choice, and ML Engineers and Data Scientists use it day to day. Our Feast Feature Store list can include any of these roles.

Q: Which Feast Feature Store products or editions can I target?

You can target accounts by the Feast Feature Store products they run, including Feast (Open Source), Feast Online Store (Redis, DynamoDB), Feast Offline Store (BigQuery, Snowflake), Feast on Kubernetes and Feast Feature Server. Tell us which edition or module matters and we filter the list to those accounts.

Q: What other software do Feast Feature Store customers use?

Feast Feature Store customers commonly also run Redis, Snowflake, BigQuery, Kubernetes and Kafka. We can filter any list by this kind of stack overlap.

Q: What are the main alternatives to Feast Feature Store?

The main alternatives to Feast Feature Store are Tecton, Databricks Feature Store and Hopsworks. We also keep verified user lists for Tecton and Databricks Feature Store, which is useful for competitive displacement campaigns.

Q: When are Feast Feature Store customers most likely to buy?

Buying triggers we track for Feast Feature Store accounts include ML platform build, Real-time ML project, feature store evaluation and MLOps hire. A common pain point is Training-serving skew: features differ in training and production.

Q: Can Data InfoMetrix deliver a free sample Feast contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target Feast criteria—including target job titles, company size, and region—delivered within one business day with no obligation.

Q: How does Data InfoMetrix guarantee email deliverability for Feast contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all Feast datasets. Every contact record undergoes real-time email verification within a 30 to 45-day refresh cycle, backed by a 1:1 hard bounce replacement policy for 30 days after delivery.

Reach ML platform teams using the open-source Feast feature store to serve features for training and inference.

5,002+Companies

22,585+Contacts

Updated Oct 7, 2026GDPR · CCPA99% accuracy

See sample data

Free Feast Feature Store count + 10 sample records

5,002+ companies · 22,585+ contacts available

✓Exact count for your titles, regions and company size
✓10 verified sample records to check quality
✓Price quote within 1 business day

Trusted by B2B and enterprise revenue teams

How many companies use Feast Feature Store?

Data InfoMetrix tracks 5,002+ companies running Feast Feature Store as of October 2026, with 22,585+ verified contacts at those accounts. The largest groups are Fintech, E-Commerce and Ride-Sharing & Delivery. Buying decisions usually sit with the VP of AI / ML, CTO and Head of Data Science. Counts are estimates built from technology footprint scans, job-post signals and partner directories, checked by our research team. How we count

Tracked accounts5,002+

Organizations detected running Feast Feature Store.

Verified contacts22,585+

Direct emails and phone dials for decision-makers.

Primary personasML Platform Lead, Head of ML Engineering, Staff ML Engineer

Full buying committee mapped.

Deliverability SLA99%

SMTP-verified, with 1:1 replacement of any email that hard bounces within 30 days.

Data specification · Updated Q4 2026

Technology category	Data Analytics & Modern Data Stack
Tracked organizations	5,002+ verified accounts worldwide
Decision-maker contacts	22,585+ records with emails, mobile and direct dials
Key roles	ML Platform Lead, Head of ML Engineering, Staff ML Engineer, platform administrators, IT directors, procurement
Geography	180+ countries · country-by-country counts on request
Verification	DNS and script telemetry, 5-stage SMTP handshake, manual research
Refresh cadence	Continuous, 30–45 day maximum record age at delivery
Compliance	GDPR, CAN-SPAM, CCPA and CASL
Delivery	24–48 hours as CSV, XLSX or CRM API

Editorial & verification

Researched by the Data InfoMetrix research team. Counts updated October 2026.

How we count and verify data

Size your Feast Feature Store audience

Pick a region, company size and buying role to estimate how many accounts and contacts you can reach.

Region

Company size

Buying role

Estimated segment✓ 99% SLA

5,002+Target accounts

22,585+Direct contacts

Decision-makers35%

Influencers45%

End users20%

Estimates from our current Feast Feature Store dataset. Exact counts come with your quote.

Reach the whole buying committee

A Feast Feature Store account is not one contact. We map the people who evaluate, buy, run and use it across ML Feature Stores.

Decision-makersC-suite & sponsors

VP of AI / MLCTOHead of Data ScienceHead of ML Platform

Influencers & adminsEvaluate & configure

ML Platform LeadMLOps ManagerData Engineering LeadStaff ML Engineer

End usersRun it every day

ML EngineersData ScientistsData EngineersMLOps Engineers

These are examples. We build records for any department, seniority or custom title.

See exactly what you get

Every record carries 60+ fields, from verified email, direct dial and LinkedIn to full postal address, Feast Feature Store edition, coexisting stack and intent.

Contact	Buying role	Work email	Direct dial	Company phone	Fax	LinkedIn profile	Company	LinkedIn company page	Industry	Address 1	Address 2	City	State	ZIP code	Country	Feast Feature Store footprint	Intent	Status
SPDr. Sanjay PatelChief Data Officer (CDO)	Decision Maker	s.pa**@apexfina******.com	+1 (212) 55*-**	+1 (212) 55*-**	+1 (212) 55*-**	linkedin.com/in/s*ay-pa******	Apex Financial Intelligence Group Inc.	linkedin.com/company/apex-fin-analytics	Financial Services & Investment Research	200 Park Ave 42nd	Fl	New York	NY	10166	United States	Feast Feature Store Enterprise Cloud Data Warehouse & Lakehouse	High	✓ Verified 2026
TSTheresa SterlingVP of Data Engineering & Infrastructure	Decision Maker	t.ste**@novac**.io	+1 (415) 55*-**	+1 (415) 55*-**	+1 (415) 55*-**	linkedin.com/in/t*esa-st*******	Nova Cloud Communications Inc.	linkedin.com/company/nova-cloud-tech	Cloud Infrastructure & High-Volume Telemetry	350 Mission St	Ste 1800	San Francisco	CA	94105	United States	Feast Feature Store Real-Time Streaming Telemetry & Event Ingestion	High	✓ Verified 2026
MBMaximilian BauerDirector of Business Intelligence & Analytics	Influencer	m.ba**@bavaria****.de	+49 (89) 55*-**	+49 (89) 55*-**	+49 (89) 55*-**	linkedin.com/in/m*ilian-********	Bavaria Digital Retail Group AG	linkedin.com/company/bavaria-retail-ag	Omnichannel Retail & E-Commerce	Maximilianstraße 35	—	Munich	Bavaria	80539	Germany	Feast Feature Store Business Intelligence Enterprise Dashboards	Medium	✓ Verified 2026
COClara OswaldLead Analytics Engineer & Data Architect	Practitioner	c.os**@beaconhe*****.uk	+44 (20) 79*-**	+44 (20) 79*-**	+44 (20) 79*-**	linkedin.com/in/c*a-os******	Beacon Clinical Healthcare Analytics Ltd	linkedin.com/company/beacon-clinical-data	Health Analytics & Clinical Research	25 Finsbury Circus	—	London	Greater London	EC2M 7EE	United Kingdom	Feast Feature Store Automated Transformation & Semantic Layer	High	✓ Verified 2026
RLRobert LangdonHead of Enterprise Data Governance & Compliance	Decision Maker	r.lan**@prudenti*****.com	+1 (312) 55*-**	+1 (312) 55*-**	+1 (312) 55*-**	linkedin.com/in/r*rt-la*******	Prudential Trust & Bancorp Inc.	linkedin.com/company/prudential-trust-bancorp	Commercial Banking & Wealth Management	111 W Monroe St	Ste 2200	Chicago	IL	60603	United States	Feast Feature Store Data Governance, PII Masking & Lineage Tracking	Medium	✓ Verified 2026
NSNadia SolokovaDirector of Machine Learning & Applied AI Data	Influencer	n.sol**@quant***.com	+1 (617) 55*-**	+1 (617) 55*-**	+1 (617) 55*-**	linkedin.com/in/n*a-sol******	Quantum Insurance Risk Modeling LLC	linkedin.com/company/quantum-insurance-data	Property & Casualty Insurance Actuarial Data	100 Cambridge St 14th	Fl	Boston	MA	02114	United States	Feast Feature Store Machine Learning Feature Store & Model Training	High	✓ Verified 2026
AMAlain MercierVP of Global Enterprise Architecture	Decision Maker	a.mer**@telecom****.fr	+33 (1) 44*-**	+33 (1) 44*-**	+33 (1) 44*-**	linkedin.com/in/a*n-mer******	Telecom France Networks SA	linkedin.com/company/telecom-france-networks	Telecommunications & Cellular Data Networks	78 Rue de Vaugirard	—	Paris	Île-de-France	75006	France	Feast Feature Store Multi-Cloud Data Sharing & Private Clean Rooms	High	✓ Verified 2026
HOHiroshi OgawaSenior Data Platform Solutions Architect	Practitioner	h.og**@tokyodig*****.jp	+81 (3) 55*-**	+81 (3) 55*-**	+81 (3) 55*-**	linkedin.com/in/h*shi-o*******	Tokyo Digital Media Systems KK	linkedin.com/company/tokyo-digital-media	Digital Entertainment & Media Streaming Data	GranTokyo South Tower	32F	Tokyo	Tokyo	100-6632	Japan	Feast Feature Store High-Throughput Analytics & Low-Latency SQL	Medium	✓ Verified 2026

Illustrative rows showing 20 of 60+ fields. Full records are unmasked.

We deliver 60+ data fields per record, including intent data. The sample shows a selection only. Tell us which fields you need, including any that aren't listed here, and we'll add them to your list.

Also available:Seniority & departmentJob functionTenure in roleEmployee countAnnual revenueSIC & NAICS codesParent companyWebsite & domainProduct editionContract & renewal timingIntent topics & scoreEmail verification date

How we prove an account runs Feast Feature Store

No scraped résumés or stale directories. Three layers confirm a live installation before a contact reaches your list. Read our verification protocol

Pillar 1 · Telemetry

Live DNS & script signals

We inspect response headers, DNS MX and CNAME records and live JavaScript bundles to confirm a running Feast Feature Store instance.

DNS · CNAME · MX recordsHTTP headers · JS bundles✓ Verified against live infrastructure

Pillar 2 · Operational intent

90-day hiring signals

We track job requisitions that ask for Feast Feature Store skills, which shows ongoing budget and headcount.

Now hiringFeast Feature Store Administrator

Now hiringFeast Feature Store Architect

Now hiringFeast Feature Store Engineer

Pillar 3 · Human & mailbox QA

Pre-delivery SMTP handshake

Each email is tested against the destination mail server, and titles are checked against current company rosters.

SMTP check ✓LinkedIn match ✓Title verified ✓

✓ Deliverable inbox and current role

Deliverability SLA

<3%

Maximum bounce rate, or we replace the contacts. Your sender reputation stays clean.

1:1 hard bounce replacement

Every email that hard-bounces within 30 days of delivery is replaced free, record for record.

24-hour pre-delivery ping

Live SMTP and MX checks right before we send your file.

Instant CRM import

Clean CSV or XLSX, ready for one-click import.

Ready for your outbound stack

Imports straight into the tools you use.

What are you trying to do?

Each campaign needs a different data strategy. Pick your goal to see how we build the audience.

Find companies on rival platforms and reach the people evaluating a move to, or away from, Feast Feature Store.

Conquesting playbook

Pitch integrations, add-ons and complementary tools to companies already running Feast Feature Store.

Ecosystem playbook

Build account lists around Feast Feature Store deployment scale and engage the full committee across departments.

ABM playbook

Conquesting audienceSample

Tecton

Databricks Feature Store

Hopsworks

→

Feast Feature Store

Know the stack around every account

Feast Feature Store rarely runs alone. Every record is tagged with the tools detected alongside it, so you can segment by complementary stacks.

Redis

Kafka

Open the coexistence matrix

What Feast Feature Store customers look like

Anonymised profiles of companies in our Feast Feature Store dataset of 5,002+ accounts. Named accounts are shared in your free sample, never on a public page.

Feast Feature Store account profiles · anonymised

Company size	Industry	Country	Employees	Revenue
Enterprise	Ride-Sharing & Delivery	United States	10,000+	$5B+
Mid-market	Ad Tech	Australia	500–999	$100M–$250M
Mid-market	Fintech	United States	200–999	$50M–$250M
Enterprise	E-Commerce	United States	5,000+	$1B+
Upper mid-market	Ride-Sharing & Delivery	United Kingdom	1,000–4,999	$250M–$1B
SMB	Ad Tech	United States	50–199	$10M–$50M
Enterprise	Fintech	Canada	10,000+	$5B+
Mid-market	E-Commerce	Germany	500–999	$100M–$250M

Markets we cover

United States

India

United Kingdom

Canada

Germany

Australia

Singapore

France

New Zealand

Netherlands

Plus 170 more countries. Ask for a country-by-country count of Feast Feature Store accounts and we'll include it with your free sample.

Build the list your way

Every list is assembled from source to your product tier, job function, geography and revenue band. Nothing is a fixed export.

Editions & modules

Filter by what they actually run.

+Feast (Open Source)+Feast Online Store (Redis, DynamoDB)+Feast Offline Store (BigQuery, Snowflake)+Feast on Kubernetes+Feast Feature Server

Firmographics

Match revenue, size and industry.

+Industry+$1M–$10B+ revenue+Headcount+Ownership & funding+HQ & branches

Geography

Target any territory.

+US & Canada+US states+UK, DACH, Nordics+APAC & ANZ+Metro clusters

Need multi-attribute segments? Open the Audience Builder

What Feast Feature Store teams are struggling with

Know the friction before you reach out, and position your product where it matters.

Friction 1

Training-serving skew

ImpactFeatures differ in training and production.

OpportunityOffer feature engineering services.

Friction 2

Operating open source

ImpactFeast needs platform work.

OpportunityPitch managed feature stores.

Friction 3

Real-time features

ImpactFraud and recs need fresh data.

OpportunityOffer streaming feature services.

Intent triggers we track

✓ML platform build

✓Real-time ML project

✓Feature store evaluation

✓MLOps hire

“When you talk to companies who already use Snowflake and AWS about a native integration, the conversion rate skyrockets. Data InfoMetrix gave us the exact user list we needed.”

Director of Growth, a data integration companyName withheld at the client's request

Read the 6.8% Response case study

Feast Feature Store list questions, answered

How many companies use Feast Feature Store?

Data InfoMetrix tracks 5,002 companies using Feast Feature Store, with 22,585 verified contacts at those accounts as of October 2026. The largest groups are Fintech, E-Commerce and Ride-Sharing & Delivery. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Who buys and manages Feast Feature Store inside a company?

Feast Feature Store is usually owned by ML Feature Stores. Decision-makers include VP of AI / ML, CTO and Head of Data Science; ML Platform Lead and MLOps Manager shape the choice, and ML Engineers and Data Scientists use it day to day. Our Feast Feature Store list can include any of these roles.

Which Feast Feature Store products or editions can I target?

You can target accounts by the Feast Feature Store products they run, including Feast (Open Source), Feast Online Store (Redis, DynamoDB), Feast Offline Store (BigQuery, Snowflake), Feast on Kubernetes and Feast Feature Server. Tell us which edition or module matters and we filter the list to those accounts.

What other software do Feast Feature Store customers use?

Feast Feature Store customers commonly also run Redis, Snowflake, BigQuery, Kubernetes and Kafka. We can filter any list by this kind of stack overlap.

What are the main alternatives to Feast Feature Store?

The main alternatives to Feast Feature Store are Tecton, Databricks Feature Store and Hopsworks. We also keep verified user lists for Tecton and Databricks Feature Store, which is useful for competitive displacement campaigns.

When are Feast Feature Store customers most likely to buy?

Buying triggers we track for Feast Feature Store accounts include ML platform build, Real-time ML project, feature store evaluation and MLOps hire. A common pain point is Training-serving skew: features differ in training and production.

Can Data InfoMetrix deliver a free sample Feast contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target Feast criteria—including target job titles, company size, and region—delivered within one business day with no obligation.

How does Data InfoMetrix guarantee email deliverability for Feast contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all Feast datasets. Every contact record undergoes real-time email verification within a 30 to 45-day refresh cycle, backed by a 1:1 hard bounce replacement policy for 30 days after delivery.

Sourcing and compliance. Business contacts come from public company sources, professional directories and opt-in publishing partners, then go through SMTP verification and human review. Lists are for B2B outreach: include an unsubscribe link and honour opt-outs (CAN-SPAM), and have a lawful basis such as legitimate interest when you email people in the EU or UK (GDPR). Read how we source and verify data