List of Microsoft Citus Data Customers
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Since 2010, our global team of researchers has been studying Microsoft Citus Data 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 Microsoft Citus Data 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 Microsoft Citus Data for Database Management include: Algolia, a United States based Professional Services organisation with 900 employees and revenues of $100.0 million, Copper CRM, a United States based Professional Services organisation with 240 employees and revenues of $35.0 million, Pex, a United States based Media organisation with 75 employees and revenues of $15.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Citus Data, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Algolia | Professional Services | 900 | $100M | United States | Microsoft | Microsoft Citus Data | Database Management | 2023 | n/a |
In 2023 Algolia implemented Microsoft Citus Data on Azure to run its real-time search analytics and provisioned US-hosted Citus clusters as the core analytics datastore. The implementation is categorized under Database Management and was executed to support Algolia's analytics product and continuous analytics workloads.
The US-hosted Citus clusters ingest 5–10 billion rows per day and deliver responses for 95% of queries in under 800ms, reflecting sustained high-throughput ingest and low-latency query performance. Configuration and tuning emphasized distributed query execution and real-time ingestion pipelines consistent with Database Management workflows for scale-out transactional analytics. Microsoft Citus Data was used to align ingestion, storage, and query processing for Algolia's search analytics use case.
Operationally the project centralized analytics database operations on Azure-hosted Citus clusters, which reduced database management overhead so engineering teams could focus on feature development rather than DB ops. Governance and rollout prioritized performance testing, runbooks, and operational monitoring to preserve the documented ingestion and query response characteristics. The Microsoft Citus Data deployment directly supported Algolia's analytics product while lowering ongoing database management effort.
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Copper CRM | Professional Services | 240 | $35M | United States | Microsoft | Microsoft Citus Data | Database Management | 2016 | n/a |
In 2016, Copper CRM deployed Microsoft Citus Data to scale its multi-tenant CRM application under the Database Management category. The implementation shifted horizontal scaling responsibilities into a Citus-based distributed database tier to avoid extensive application-level sharding and to centralize data distribution logic within the database layer.
The deployment used Citus Cloud infrastructure and the Microsoft Citus Data extension to enable distributed query execution, parallelized reads, and table distribution for multi-tenant schemas. This architecture supported higher throughput requirements, enabling peaks of roughly 55k operations per minute and the housing of multiple terabytes of CRM data while improving read performance by approximately 2x to 3x.
Operationally the project kept engineering and product teams focused on feature development rather than database sharding work, reducing the effort required to deliver a scaled solution. Copper reported a roughly 70 percent reduction in person-months needed to deploy at scale, indicating a shift in rollout and operations work from application-level partitioning to managed database scaling.
The implementation centered on Microsoft Citus Data as the Database Management platform for Copper CRM, combining distributed database capabilities with cloud-managed operations to support a high-throughput, multi-tenant CRM service. Governance emphasis moved toward centralized data distribution policies and database-level scaling controls, enabling the product organization to prioritize customer-facing functionality over infrastructure refactoring.
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Pex | Media | 75 | $15M | United States | Microsoft | Microsoft Citus Data | Database Management | 2016 | n/a |
In 2016, Pex adopted Microsoft Citus Data to scale its content fingerprinting and analytics pipeline. The implementation placed Microsoft Citus Data in the Database Management layer to process very large volumes of media metadata and fingerprints for content discovery and rights workflows.
The Citus deployment ran on cloud infrastructure and used Citus distributed architecture to enable horizontal scale and parallel query execution across worker nodes. This architecture supported their real time analytics needs, feeding updates that totaled tens of billions of rows daily, and provided the parallelism required for content search and rights management workloads.
Pex began using Citus after discovering it in May 2016 and operationalized the database for ingestion, indexing and analytical query workloads within their media pipeline. Governance and rollout focused on embedding Microsoft Citus Data into ingestion and search paths, aligning Database Management capabilities with content fingerprinting, analytics and rights management functions.
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