AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of Google Cloud Bigtable Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Broadcom Manufacturing 33000 $63.9B United States Google 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.
Kaiko France Banking and Financial Services 80 $13M France Google 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.
Manash Lifestyle Distribution 258 $4M India Google 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.
Professional Services 15289 $8.0B United States Google Google Cloud Bigtable Database Management 2024 n/a
Showing 1 to 4 of 4 entries

Buyer Intent: Companies Evaluating Google Cloud Bigtable

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Google Cloud Bigtable. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Google Cloud Bigtable for Database Management include:

  1. Caroline Brignac, a United States based Education organization with 7 Employees
  2. Northern Essex Community Clg, a United States based Education company with 10 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD Google Cloud Bigtable Coverage

Google Cloud Bigtable is a Database Management solution from Google.

Companies worldwide use Google Cloud Bigtable, from small firms to large enterprises across 21+ industries.

Organizations such as Broadcom, Palo Alto Networks, Kaiko France and Manash Lifestyle are recorded users of Google Cloud Bigtable for Database Management.

Companies using Google Cloud Bigtable are most concentrated in Manufacturing, Professional Services and Banking and Financial Services, with adoption spanning over 21 industries.

Companies using Google Cloud Bigtable are most concentrated in United States, France and India, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Google Cloud Bigtable across Americas, EMEA, and APAC.

Companies using Google Cloud Bigtable range from small businesses with 0-100 employees - 25%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 50%.

Customers of Google Cloud Bigtable include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Google Cloud Bigtable customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Database Management.