List of Google Cloud Bigtable Customers
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Since 2010, our global team of researchers has been studying Google Cloud Bigtable customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Google Cloud Bigtable for Database Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Google Cloud Bigtable for Database Management include: Broadcom, a United States based Manufacturing organisation with 33000 employees and revenues of $63.89 billion, Palo Alto Networks, a United States based Professional Services organisation with 15289 employees and revenues of $8.03 billion, Kaiko France, a France based Banking and Financial Services organisation with 80 employees and revenues of $13.0 million, Manash Lifestyle, a India based Distribution organisation with 258 employees and revenues of $4.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud Bigtable, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Google Cloud Bigtable customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Broadcom | Manufacturing | 33000 | $63.9B | United States | Google Cloud Bigtable | Database Management | 2018 | n/a |
In 2018 Broadcom implemented Google Cloud Bigtable for Database Management as part of a broader cloud data lake modernization to support the Security Technology and Response team. The deployment was designed to ingest telemetry and samples from Symantec security products, handling billions of events per day and supporting over 200 data analytics team members and dozens of application teams across the organization.
The architectural model moved to a decentralized cloud data lake, running most analytics on smaller, ephemeral Dataproc clusters and using Google Kubernetes Engine for containerized workloads. Google Cloud Bigtable was adopted to host several critical HBase backed systems, improving low latency access patterns and operational maintainability, while Cloud Storage served as the shared data layer and a shared Hive Metastore provided metadata services. Infrastructure as Code and containerization were introduced to standardize provisioning and enable repeatable ephemeral cluster workflows.
Integrations included Cloud Composer for job orchestration, IAM and Apache Ranger for authorization, Cloud SQL for select transactional use cases, Secret Manager for secrets management, and auxiliary services such as Cloud Scheduler and Cloud Functions for scheduling and serverless tasks. Broadcom worked closely with Google Cloud Professional Services on the migration and IaC setup, and Composer operators were used to submit jobs across Dataproc or to external GKE clusters.
Governance and operational model changes gave application owners self management of persistent and ephemeral clusters, creating cost accountability and eliminating noisy neighbor resource contention between teams. The move to Google Cloud and implementation of Google Cloud Bigtable completed in less than a year and was seamless for customers, it simplified maintenance of HBase workloads and reduced monthly support calls from internal Symantec researchers by 25 percent, while maintaining portability across cloud providers to avoid vendor lock in.
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Kaiko France | Banking and Financial Services | 80 | $13M | France | Google Cloud Bigtable | Database Management | 2021 | n/a |
In 2021, Kaiko France deployed Google Cloud Bigtable as the core Database Management platform for its cryptocurrency market-data services. Kaiko France implemented Google Cloud Bigtable in 2021 to provide scalable storage and delivery for market transactions used by finance and market-data clients.
The implementation uses Google Cloud Bigtable together with Memorystore to persist and accelerate access to time-series and transaction-level market data. Configuration centers on Bigtable clusters for high volume ingest and read throughput, with Memorystore acting as an in-memory cache to support sub 150 ms client delivery. Functional capabilities implemented include real-time transaction storage, fast read pipelines for client delivery, and persistent archival for downstream processing.
Operational coverage is focused on Europe for data capture and processing, while delivery is provisioned for global clients with an emphasis on latency sensitive market-data use cases. The Google Cloud Bigtable deployment supports around 50 million daily transactions and delivers market data to clients in under 150 ms, enabling market-data and finance teams to consume tick level transaction feeds.
Governance and operations are structured around a centralized Google Cloud environment, with platform-level scaling and caching strategies to meet performance requirements. Kaiko France Google Cloud Bigtable Database Management supports production market-data workflows, operational monitoring, and throughput scaling to sustain continuous high volume transaction delivery.
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Manash Lifestyle | Distribution | 258 | $4M | India | Google Cloud Bigtable | Database Management | 2017 | n/a |
In 2017, Manash Lifestyle implemented Google Cloud Bigtable to support its Purplle ecommerce and personalization infrastructure, deploying a Database Management solution targeted at real-time retail and CRM workflows. The implementation of Google Cloud Bigtable centralized high-throughput, low-latency storage for recommendation and personalization data across the ecommerce stack.
Google Cloud Bigtable was configured as a real-time recommendation store and personalization serving layer, supporting hyper-personalized product recommendations. Functional capabilities focused on low-latency key-value access patterns, high write throughput for event and profile ingestion, and read-optimized tables to deliver per-user recommendations in milliseconds.
Operational coverage included Purplle ecommerce and CRM use cases in India, with the Database Management deployment integrated into the retail personalization pipeline and product launch workflows. The implementation supported rapid catalog and campaign iteration, enabling frequent product launches and continuous personalization at the edge of the customer experience.
Governance and rollout emphasized application-level configuration of table schemas and access controls to align personalization workflows with marketing and product teams. The deployment delivered stated outcomes, reducing production costs by approximately 75 percent, enabling up to 150 product launches per month, and serving personalization requests with millisecond latency while using Google Cloud Bigtable as the Database Management backbone for retail and CRM functions.
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Professional Services | 15289 | $8.0B | United States | Google Cloud Bigtable | Database Management | 2024 | n/a |
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Buyer Intent: Companies Evaluating Google Cloud Bigtable
- Caroline Brignac, a United States based Education organization with 7 Employees
- Northern Essex Community Clg, a United States based Education company with 10 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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