Technologies
Big Data Infrastructure
Companies using Treasure Data

Companies using Treasure Data

Treasure Data is a cloud-based customer data platform (CDP) that enables organizations to collect, unify, and activate customer data from multiple sources, offering real-time analytics, cross-channel marketing capabilities, data integration, and enterprise-grade security.
Signals Header Bg Pattern - Decorative

Companies using Treasure Data

Technology
is any of
Treasure Data Technology Logo/Icon
Treasure Data
company
COUNTRY
Tech confidence score
REVENUE
# Tech JOB POSTINGS
Dice
United States Country Flag Icon
United States
-
203,756
Amazon Web Services
China Country Flag Icon
China
-
15,708
Capgemini
France Country Flag Icon
France
$23.6B
77,867
myGwork - LGBTQ+ Business Community
United Kingdom Country Flag Icon
United Kingdom
-
55
Showing 10 of
491
results
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50

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Unlock the full database of
491
companies actively hiring with
Treasure Data
technology, including firmographic data,
8,395
developer profiles working on that technology, and direct contacts to engineering leaders within your target accounts.
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Developers using Treasure Data

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Luca Candela
Sr. Product Manager
United States Country Flag Icon
United States
CGI Company Logo
CGI
17 years
Joshua Bence
Senior Software Engineer
United States Country Flag Icon
United States
KiwiTech Company Logo
KiwiTech
12 years
Subhashree Radhakrishnan
Senior Deep Learning Engineer
United States Country Flag Icon
United States
CGI Company Logo
CGI
1 year
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Kyle Prifogle
Senior Data Engineer
United States Country Flag Icon
United States
Fives Company Logo
Fives
12 years
Pat Downey
Head of DevOps
United Kingdom Country Flag Icon
United Kingdom
Desert Diamond Casinos & Entertainment Company Logo
Desert Diamond Casinos & Entertainment
6 years
Alex Woolford
Field Engineer
United States Country Flag Icon
United States
Amazon Web Services Company Logo
Amazon Web Services
13 years

Want access to the complete developers list?

Unlock the full contact information of
8,395
developers actively working with
Treasure Data
technology, including economic buyers data for each account, complete with verified contact information, role tenure, company context, and adoption signals.
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What would you like to do with company-level technographics data that are using Treasure Data?

Build my TAM account list or assign accounts to my sales team

Transform your desired technology user data into actionable sales territories by combining firmographic ICP criteria with real-time technology adoption signals. Traditional account assignment based solely on company size and industry leaves money on the table—successful DevTool sales teams prioritize accounts showing active technology expansion signals.

Strategic account prioritization framework

Building an effective Total Addressable Market (TAM) requires more than basic firmographic filters. Companies using your desired technology represent varying levels of buying intent depending on their implementation stage, team growth, and technology stack evolution. Learn our complete framework for building DevTool ICP account lists to establish the foundation for strategic account segmentation.

Confluent ICP scoring example illustrating core, broader, and relevant universe tiers based on Kafka adoption and data streaming scale

Standard ICP criteria—geography, industry, company size, revenue—only provide baseline qualification. High-performing sales teams layer technology hiring signals on top of firmographic data to identify accounts actively expanding their technical capabilities. Companies hiring  for your desired technology engineers or architects signal active investment in the technology stack, indicating higher purchase intent and budget availability.

In-market account identification and assignment

Priority account assignment should factor in recent technology hiring patterns as a proxy for market timing. Companies posting jobs for Redis engineers, Kubernetes specialists, or React developers demonstrate active technology expansion—making them significantly more likely to evaluate complementary tools within 90 days.

Our LinkedIn outreach playbook details the specific process for identifying and assigning these in-market accounts to sales teams. This approach increases meeting acceptance rates by 40% compared to generic outbound because prospects are already in active buying mode.

Territory assignment best practices

Tier 1 accounts: Companies using your desired technology with recent hiring activity for related roles. These accounts get immediate sales attention with personalized outreach referencing their specific technology initiatives and hiring needs.

Tier 2 accounts: Established desired technology users without recent hiring signals but strong firmographic fit. Assign these accounts for longer-term nurture campaigns and quarterly check-ins to monitor technology expansion signals.

Tier 3 accounts: Companies using your desired technology with weaker ICP fit or unclear expansion signals. Route these accounts to inside sales or marketing-qualified lead campaigns until stronger buying signals emerge.

Refresh account assignments monthly based on new hiring signals and technology adoption data. Companies can move between tiers quickly as their technology needs evolve, and sales territories should reflect these dynamic market conditions rather than static demographic assignments.

The combination of your desired technology usage data and hiring intelligence creates a predictive framework for sales success, ensuring your team focuses energy on accounts most likely to convert within the current quarter.

Learn more

Run marketing Campaigns

Leverage your desired technology user data to create targeted campaigns across three distinct audience levels: companies, developers (practitioners), and economic buyers. Each audience type requires different messaging, channels, and campaign strategies to maximize conversion rates.

Multi-level audience targeting

Companies: Target organizations using your technology of choice for account-based marketing approaches. Focus on company-level signals, firmographics, and technology stack intelligence to build high-intent prospect lists.

Developers (contacts): Reach practitioners who directly implement and use chosen technology. These technical decision-makers influence tool adoption and can become internal champions for your solution.

Economic Buyers (contacts): Target executives and budget holders at companies using your desired technology. While they may not use the technology directly, they control purchasing decisions and strategic technology investments.

Campaign strategies by audience type

ABM Google/LinkedIn Ads to your TOFU audience: Run account-based display campaigns targeting companies using containerization technologies like Docker or Kubernetes. Create awareness-stage content about DevOps optimization, infrastructure costs, or developer productivity to capture early-stage interest from decision-makers.

Invite developers to topical webinars: Host technical webinars for Redis users about database optimization, caching strategies, or microservices architecture. Developers using Redis are likely interested in performance engineering topics that showcase your platform's capabilities in a educational, non-sales context. Leading DevTools like Galileo and Camunda use this strategy effectively—see how they leverage expert-led sessions to grow their TOFU audience by educating and nurturing developer communities around emerging technologies.

LinkedIn outbound campaigns to developers or economic buyers: Execute targeted LinkedIn outreach to practitioners and buyers at companies using complementary technologies. See how Kubegrade leveraged Kubernetes user data to run successful LinkedIn and email campaigns, or follow our proven LinkedIn outreach playbook that helped Unstructured book meetings with economic buyers.

Competitor email campaigns based on competitor technology: Target companies using competing solutions like MongoDB (if you're in the database space) or Elasticsearch (for search solutions). Craft messaging around migration benefits, performance comparisons, or feature gaps that position your solution as the superior alternative.

Complimentary technology campaigns: Run campaigns to companies using GraphQL (if you provide API tools) or React (for frontend development solutions). Focus messaging on how your product enhances their existing technology investments rather than replacing them—creating additive value propositions.

Technical content nurture campaigns to developers: Send regular technical newsletters to PostgreSQL users featuring database optimization tips, query performance guides, or architectural best practices. This builds relationship equity with practitioners who influence purchasing decisions while demonstrating your platform's technical depth.

Campaign execution framework

Each campaign type works best when aligned with the prospect's technology maturity and buying stage. Companies actively expanding their technology usage often have budget allocated for complementary solutions, making them higher-intent prospects than those just beginning adoption.

Combine multiple campaign types for maximum impact: start with educational content to developers, then retarget engaged prospects with ABM campaigns to economic buyers at the same companies. This multi-touch approach increases conversion rates while building relationships across the entire buying committee.

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How to target companies using Treasure Data

How to build your target account list?

Start by building your Ideal Customer Profile (ICP) universe using technology signals as a foundation. Companies using

Treasure Data

often share similar technical maturity and infrastructure needs, making them prime candidates for developer-focused solutions. Learn our complete framework for building DevTool ICP account lists to maximize your targeting precision.

Customize this data by filtering for geography, industry, company size, revenue, technology usage, job positions and more. Our platform provides technology intelligence at both company and individual levels—categorized into developers/practitioners and economic buyers within those organizations. This dual-layer approach enables precise targeting whether you're running ABM campaigns at the account level or personalized outreach to specific contacts.

Download your refined lists in Excel or CSV format, sync directly to your CRM (HubSpot, Salesforce), or use our APIs to send data to your warehouse. For individual-level targeting, explore our

developers using
Treasure Data

database for direct practitioner and buyer intelligence.

How to get alerted when new companies adopt Treasure Data technology?

Set up automated alerts to capture companies as they adopt

Treasure Data

in real-time.

This gives your sales team first-mover advantage when prospects are actively evaluating and implementing new solutions—the optimal time for outreach.

Configure alerts based on your specific ICP criteria: get notified when companies in your target geography, industry, or size range start using your target technology. Alerts are delivered directly to your inbox with complete company and contact intelligence, enabling immediate, contextual outreach while the technology adoption signal is fresh.

How to sync this data with my CRM or sales stack?

Export technology user data seamlessly into your existing sales and marketing infrastructure. Direct CRM integrations with HubSpot and Salesforce automatically sync company and contact records with technology intelligence, enriching your existing database.

Use our API endpoints to send

Treasure Data

user data directly to your data warehouse, enabling advanced segmentation and analytics across your entire revenue stack. This approach works particularly well for companies running sophisticated ABM programs or complex lead scoring models.

The targeting strategy differs significantly between contact-level outreach and account-based campaigns. For individual targeting, focus on practitioners who directly use

Treasure Data

with personalized technical messaging. For ABM approaches, target economic buyers at companies using

Treasure Data

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is Treasure Data?

Treasure Data is a cutting-edge technology that falls under the category of Customer Data Platforms (CDPs). It provides a comprehensive solution for collecting, storing, analyzing, and activating customer data from various sources across an organization. Developed by Treasure Data, Inc. (now part of Arm Holdings), this platform was created to address the growing challenges businesses face with fragmented customer data across multiple touchpoints and systems. The platform excels at unifying disparate data sources to create a single, comprehensive view of customers, enabling more personalized and effective marketing campaigns.

Technically, Treasure Data employs a cloud-based architecture that can ingest data from virtually any source—websites, mobile apps, CRM systems, IoT devices, and offline channels. The platform uses a combination of batch and streaming data processing to handle both historical and real-time data flows. Its architecture includes a data collection layer, a unified customer database, analytics capabilities, and activation tools. What makes Treasure Data unique is its enterprise-grade scalability and flexibility, allowing it to process petabytes of data while maintaining performance. The platform features:

  • Advanced identity resolution to connect customer interactions across devices and channels
  • Machine learning capabilities for predictive analytics and customer segmentation
  • Pre-built connectors to hundreds of data sources and marketing tools
  • Compliance-focused data governance tools for managing sensitive customer information

In terms of market adoption, Treasure Data has gained significant traction among enterprise organizations seeking to leverage their customer data for competitive advantage. The platform is particularly valuable for companies with complex, multi-channel customer journeys that require sophisticated data integration and analysis. As privacy regulations continue to evolve and third-party cookies phase out, Treasure Data's approach to first-party data management positions it well for future growth in the customer data platform market, which is projected to continue expanding as organizations prioritize data-driven customer experiences.

What is the source of this data?

We aggregate developer & company technographics intelligence from multiple proprietary and partner sources. Our platform monitors job postings across millions of companies—tracking listings on career sites, job boards, and recruitment platforms to identify technology adoption patterns and internal tool usage. This hiring signal data reveals what technologies organizations are actively investing in.

Beyond job data, Reo.Dev maintains a proprietary database of 30+ million developers and tracks activity across public GitHub repositories to capture real-time technology usage signals.

We supplement this with GDPR-compliant datasets from trusted data broker partners and visitor intelligence platforms, creating a comprehensive view of both company-level tech stacks and individual developer behaviors.

This multi-source approach ensures you're working with the most accurate, up-to-date company technographics & developer intelligence available.

How often is the data updated?

Our platform refreshes data daily, giving you access to the latest developer and technology intelligence. This continuous update cycle ensures your go-to-market teams are working with current information that reflects real-time market movements, emerging technology adoption patterns, and fresh hiring signals from across the industry.

What companies use Treasure Data?

Some of the companies that use Treasure Data include Dice, Amazon Web Services, Capgemini, myGwork - LGBTQ+ Business Community, and many more. You can find a complete list of 491 companies that use Treasure Data on Reo.Dev.

Who uses Treasure Data? Which industries use Treasure Data?

Treasure Data is used by a diverse range of organizations across various industries, including "Retail and E-commerce", "Financial Services", "Telecommunications", "Automotive", "Consumer Packaged Goods", and "Media and Entertainment". For a comprehensive list of all industries utilizing Treasure Data, please visit Reo.Dev.

How many customers does

Treasure Data
have?
As of now, we have data on
491
companies that use
Treasure Data
.

Where is Treasure Data adoption highest worldwide? In which countries Treasure Data is used the most?

According to usage insights, Treasure Data sees the strongest adoption across several major tech hubs. United States leads with 157 companies using it, followed by United Kingdom (54) and India (29).Other regions with significant Treasure Data usage include France (11), Canada (7), Germany (6), and Netherlands (6).Overall, Treasure Data enjoys widespread implementation globally, powering applications across diverse industries and regions.

How to find companies that use

Treasure Data
?

Visit reo.dev and use Reo.Dev's audience builder to search for companies using your desired technology—our platform analyzes job postings, GitHub repositories, and proprietary developer data to identify the  technology stack for any given organization. Book a demo with us today to get started.

How to get an updated list of companies that use

Treasure Data
?

Reo.Dev provides real-time access to companies using your desired technology of choice and thousands of other developer technologies. Our platform continuously tracks technology adoption signals from job postings, GitHub activity, and proprietary developer data to give you the most current view of which organizations are actively using the technologies in their tech stack. Simply search for your desired technology within our audience builder to generate a targeted list of companies—complete with firmographic data, hiring signals, and tech stack intelligence. Book a demo with us today to get access to the latest data.