B2B Contact Lists - Verified B2B Data & Technographic Intelligence
Global Enterprise Technographic Skyline
Verified B2B Intelligence • Q3 2026 Technographic Refresh

Apache Spark & Databricks Platform Customers &
Decision Makers Email List

Build a custom Apache Spark & Databricks Platform users email list from 137,950+ verified contacts across 33,820+ companies using Apache Spark & Databricks Platform ecosystem. Filter by product, industry, company revenue, paid seat scale, and job role.

Key Reached Personas with Verified Direct Inboxes:

Chief Data Officer (CDO) VP Data Engineering & AI Infrastructure Head of Machine Learning / Data Science Principal Distributed Systems Architect Lead Apache Spark / PySpark Engineer

33,820+

Companies Using Apache Spark

137,950+

Apache Spark Contacts

85,520+

USA Contacts

90–95%

Accuracy Guarantee

Up to 90–95% Contact Accuracy Guarantee Instant 25+ Free Sample Records
Instant Audience Quote 45-Min Turnaround

Get Verified Counts & Free Sample

Specify your target cloud, roles, and geography.

Zero SPAM • No Telemarketing Robocalls • 100% GDPR Aligned

By submitting, you agree to our Terms of Service & Privacy Policy.

GDPR Compliant

Art. 6(1)(f) Legitimate Interest

CCPA Compliant

California Privacy Adherence

CAN-SPAM Aligned

Opt-Out & Suppression Scrubbed

10+ Years Expertise

Established 2016 • Enterprise Data

Knowledge Brief & Data Specifications

What is an Apache Spark & Databricks Platform Users Email List?

An Apache Spark & Databricks Platform users email list from B2B Contact Lists is a verified B2B intelligence database containing verified professional details and direct corporate email addresses for enterprise decision-makers and technical practitioners actively using Apache Spark & Databricks Platform. Our database provides access to 137,950+ verified contacts across 33,820+ companies worldwide, customized by specific product edition, company revenue, employee count, and organizational buying committee tier.

Key Roles Included

Targeted decision-makers by functional responsibility

  • Data Platform & Spark Engineers: Manage platform configurations (Senior Apache Spark Developer), system integrations, and user access.
  • Data Platform & AI Leadership: Approve organizational software stack, evaluate ROI, and sponsor deployments (Chief Data Officer (CDO)).
  • Data Architecture & SRE: Architect enterprise data pipelines, cloud security, and platform infrastructure (Director of Data Platform).
  • Data Scientists & ML Engineers: Drive departmental adoption, cross-functional workflows, and operational excellence (Principal Data Scientist).
Complete 4-tier buying committee coverage

Common Data Fields Provided

Standardized 24-column verified contact profile

  • Contact Identity: Contact full name, verified job title, department function, and executive seniority level (C-Level, VP, Director, Manager).
  • Direct Corporate Email: Direct business email address (100% verified via SMTP ping handshakes; zero generic mailboxes) and phone extensions.
  • Company Firmographics: Company legal name, domain, industry vertical, annual revenue band, employee count, and corporate headquarters.
  • Technographic Data: Installed software edition (All Apache Spark Environments), co-occurring cloud stack, and connected ecosystem tools.
Audit-ready, standardized 24-attribute schema

Standard Compliance & Delivery

Delivery formats, CRM imports, and privacy standards

  • File Formats: Delivered as standardized .csv or .xlsx (Excel) files, engineered for 1-click CRM imports into Salesforce, HubSpot, Marketo, Apollo, and Outreach.
  • Privacy Compliance: Fully compliant with GDPR (Legitimate Interest Art. 6(1)(f)), CCPA, and CAN-SPAM regulations.
  • Deliverability Guarantee: Every record is verified via multi-point SMTP validation with an accuracy guarantee of 90–95% and immediate 1:1 replacement credits.
  • Turnaround Time: Custom audience count reports, price quote, and a 25-record sample file delivered within 45 minutes.
Instant CRM-ready export (.csv / .xlsx)
Interactive Installed Base Intelligence

Explore the Apache Spark & Databricks Platform Installed Base

Start with Apache Spark & Databricks Platform. Then define exactly which part of its customer base you need, with live calculated audience counts.

01
02

Industry

Company Size (Employees)

Revenue Range

03
04
Big Data / Spark Engineer
CRM Manager
Sales Operations
RevOps Lead
IT & Apps
C-Level & VP
Marketing Ops
Other Roles
05
Your Apache Spark & Databricks Platform Customer Universe Live Audit
Results matching

All Apache Spark Environments

Companies Using Apache Spark & Databricks Platform

33,820+

Apache Spark Contacts

137,950+

Business Emails Available

113,256+

USA Contacts

85,520+

Apache Spark & Databricks Platform Product Coverage

All Apache Spark Environments 100%
Databricks Lakehouse Platform 57%
PySpark & Spark SQL Core 68%
Spark Structured Streaming 38%
Spark MLlib (Machine Learning) 32%

Account Coverage Details

Industries

45+ Verticals

USA Records

85K+

Enterprise (1K+)

29K+

Decision-Makers

166K+

Lock In These Counts & Get Sample
Verified Enterprise Deployments

Companies Using Apache Spark & Databricks Platform

Explore a verified sample of enterprise market leaders running mission-critical operations on Apache Spark & Databricks Platform — validated through official Apache Spark & Databricks Platform customer stories, public SEC filings, and technographic telemetry.

JC

JPMorgan Chase & Co.

Verified
jpmorganchase.com
Country / HQ:
USA United States
New York, NY, USA
Company Size:
309,000+ Employees
Rev: $158.1B Rev
Apache Spark Stack:
Apache Spark Databricks AWS Kubernetes Python
UT

Uber Technologies, Inc.

Verified
uber.com
Country / HQ:
USA United States
San Francisco, CA, USA
Company Size:
32,800+ Employees
Rev: $37.3B Rev
Apache Spark Stack:
Apache Spark Kafka HDFS Google Cloud
AI

Adobe Inc.

Verified
adobe.com
Country / HQ:
USA United States
San Jose, CA, USA
Company Size:
29,000+ Employees
Rev: $19.4B Rev
Apache Spark Stack:
Databricks Apache Spark Snowflake AWS Azure
SP

Shell plc

Verified
shell.com
Country / HQ:
GBR United Kingdom
London, UK
Company Size:
103,000+ Employees
Rev: $316.6B Rev
Apache Spark Stack:
Databricks Lakehouse Apache Spark Microsoft Azure
CC

Comcast Corporation

Verified
comcast.com
Country / HQ:
USA United States
Philadelphia, PA, USA
Company Size:
186,000+ Employees
Rev: $121.6B Rev
Apache Spark Stack:
Apache Spark Delta Lake AWS Snowflake Kubernetes
All corporate profiles are cross-checked quarterly against official Apache Spark & Databricks Platform customer testimonials, SEC 10-K filings, and live DNS records.
Filter Similar Accounts
Technographic Distribution Intelligence

Top Industries & Countries That Use Apache Spark & Databricks Platform

Benchmark market saturation across 104,000+ verified enterprise Salesforce CRM deployments. Focus your pipeline where customer acquisition propensity and contract values are highest.

Top Industries Using Apache Spark & Databricks Platform

Market share distribution across verified deployments

33,820+ Accounts
Financial Services, Trading & Fintech
46,900+ 34%
Software, Cloud & Technology
38,630+ 28%
eCommerce, Retail & Digital Streaming
24,830+ 18%
Telecommunications & Media Networks
16,550+ 12%
Healthcare & Life Sciences Analytics
11,040+ 8%

Key Growth Insight: Technology & Software and Financial Services represent 46.6% of all enterprise Salesforce licenses, exhibiting 3.2x higher ACV compared to other industry segments.

Top Countries That Use Apache Spark & Databricks Platform

Geographic distribution of validated enterprise accounts

100+ Countries
USA United States
85,520+ 62%
GBR United Kingdom
17,930+ 13%
DEU Germany, Switzerland & EU
16,550+ 12%
IND India & South Asia
11,040+ 8%
CAN Canada & Australia
6,910+ 5%

Geographic Takeaway: The US, UK, and Canada comprise 84.1% of global enterprise deployments, enabling seamless high-deliverability English-language email and LinkedIn prospecting campaigns.

Complementary Technology Stack Directory

Target Accounts by Their Entire Integrated Tech Stack

Enterprise revenue teams rarely sell to Apache Spark & Databricks Platform in isolation. Explore verified decision-maker lists for complementary software platforms integrated directly with Apache Spark & Databricks Platform:

Marketing Automation

Accounts syncing SFDC leads with enterprise MAP engines.

ERP & Core Finance

Accounts with automated CPQ-to-cash and ERP pipeline sync.

Data Warehouse & BI

Accounts feeding Salesforce Data Cloud into cloud warehouses.

Sales Engagement & AI

Companies with active SDR/AE outbound cadences linked to SFDC.

Multi-Threaded Account Penetration

Complete 4-Tier Buying Committee Coverage

Enterprise deals fail when single-threaded. Our Apache Spark & Databricks Platform dataset maps the entire decision-making unit per account to power account-based marketing (ABM) cadences.

TIER 1 • ECONOMIC BUYER

Data Platform & AI Leadership

Approves enterprise cloud compute credits, Databricks license contracts, and unified data lake budgets.

  • • Chief Data Officer (CDO)
  • • VP Data Engineering
  • • VP Machine Learning & AI
  • • Chief Technology Officer (CTO)
TIER 2 • TECHNICAL CHAMPION

Data Architecture & SRE

Evaluates Spark cluster autoscaling, spot instance orchestration, Delta Lake ACID transactions, and query speed.

  • • Director of Data Platform
  • • Lead Big Data Architect
  • • Principal ML Infrastructure Engineer
  • • Head of Data Ops
TIER 3 • DAILY ADMINISTRATOR

Data Platform & Spark Engineers

Manages Databricks clusters, PySpark transformations, memory tuning (executor/driver cores), and DAG optimization.

  • • Senior Apache Spark Developer
  • • PySpark Data Engineer
  • • Databricks Platform Administrator
  • • Data Platform DevOps Lead
TIER 4 • DATA SCIENCE CONSUMERS

Data Scientists & ML Engineers

Builds predictive ML models, runs feature extraction pipelines, and deploys inference models into production.

  • • Principal Data Scientist
  • • Senior Machine Learning Engineer
  • • Quantitative Research Analyst
  • • AI Algorithm Specialist
Deterministic Verification Standards

Data Delivery Schema & Verified Field Fill-Rates

Every custom Salesforce intelligence file is delivered with standardized, audit-ready data fields. We guarantee minimum fill-rates backed by contractual replacement SLAs.

100%

Direct Business Email

SMTP Pinged & Validated

85%

Direct Dial / Extension

Desk Phone Verified

94%

LinkedIn Profile URL

Live Public Profile

100%

SFDC Cloud Stack

DNS / Header Crawled

98%

Annual Revenue Tier

SEC / Registry Cross-Ref

100%

Industry NAICS / SIC

Standardized 6-Digit

Complete 24-Column Data Delivery Specification:

Delivered as standardized .csv or .xlsx (Excel) spreadsheet files for direct CRM imports containing: Company Name, Website Domain, Employee Range, Annual Revenue Range, Primary Industry, Secondary NAICS/SIC, Full HQ Address, City, State/Province, ZIP/Postal, Country, Contact Full Name, First Name, Last Name, Verified Business Email, Phone Extension, Verified Job Title, Management Level (C-Level, VP, Director), Department Function, LinkedIn Profile URL, Primary Salesforce Cloud, Co-Occurring Tech Stack, and Timestamp Last Verified.

Request Custom Segment Schema
E-E-A-T Quality & Privacy Standards

Technographic Verification & Regulatory Compliance

How B2B Contact Lists maps, continuously validates, and delivers 137,950+ active Apache Spark & Databricks Platform customer installations while upholding strict global data privacy standards.

Multi-Signal Technographic Detection

We detect Apache Spark and Databricks installations through cloud marketplace compute allocations (AWS EMR Spark, Azure Databricks, Google Dataproc), Spark UI web monitoring telemetry (ports `4040`/`18080`), code repository dependency analysis (`pyspark`, `spark-core`), and engineering job postings specifying Apache Spark, PySpark, or Databricks.

  • Quarterly technographic stack refresh
  • Cross-referenced against SEC tech disclosures
  • Active SFDC job posting correlation
Verified Stack Detection • Q3 2026

Deterministic Email Deliverability

Every contact record undergoes our rigorous 90-day verification protocol. We perform direct SMTP mailbox handshakes, MX validation, and automated syntax hygiene to suppress spam traps, honeypots, and departed executives.

  • Up to 90–95% contact accuracy guarantee
  • 1:1 replacement credits on any hard bounce
  • 100% corporate work emails (no personal accounts)
Up to 90–95% Accuracy Guarantee

Strict Global Privacy Compliance

Our B2B database adheres strictly to international privacy frameworks. We provide verifiable legitimate interest documentation and maintain immediate opt-out suppression infrastructure across all data feeds.

  • GDPR Article 6(1)(f) Legitimate Interest aligned
  • CCPA/CPRA Notice at Collection & Opt-Out ready
  • CAN-SPAM compliant commercial disclosures
Privacy-First B2B Architecture
Privacy & Telemarketing Protection Policy: In strict compliance with our privacy principles and regulatory best practices, zero telemarketing or direct phone numbers are displayed publicly on this website. Verified direct phone dials and direct-dial extensions are provided solely to authorized commercial clients under signed Data Licensing Agreements and are thoroughly scrubbed against US Federal, State, and corporate Do-Not-Call (DNC) registries.
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Build Your Target Apache Spark & Databricks Platform List in 45 Minutes

Get precision counts, custom revenue-range segmentation, and a free 25-record verified sample delivered to your sales inbox.

Knowledge Base & Buyer Guidance

Frequently Asked Questions

Everything you need to know about our Salesforce customer dataset verification, segmentation criteria, and deliverability guarantees.

How do you identify companies using Apache Spark and Databricks?

Can I filter specifically for companies running Databricks Lakehouse?

What technical job roles are available in the Apache Spark dataset?

Can I target accounts by complementary cloud and streaming tools (e.g. Kafka, Snowflake)?

How does your 90–95% email deliverability guarantee operate?

Are direct telephone extensions and LinkedIn profiles included?

Is the Apache Spark users list compliant with GDPR and CAN-SPAM regulations?

Can I preview sample data for my target segment before purchasing?