List of Google Cloud Sql For Postgresql Customers
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Since 2010, our global team of researchers has been studying Google Cloud Sql For Postgresql 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 Sql For Postgresql 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 Sql For Postgresql for Database Management include: Lightricks, a Israel based Professional Services organisation with 650 employees and revenues of $150.0 million, Sanitas, a Switzerland based Insurance organisation with 733 employees and revenues of $96.0 million, Descartes Labs, a United States based Professional Services organisation with 11 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud Sql For Postgresql, 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 | Insight Source |
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Descartes Labs | Professional Services | 11 | $2M | United States | Google Cloud Sql For Postgresql | Database Management | 2016 | n/a | In 2016, Descartes Labs implemented Google Cloud Sql For Postgresql as part of its Database Management deployment to support geospatial research workloads. Google Cloud Sql For Postgresql was adopted to handle spatial queries and indexing for satellite-imagery processing across petabyte-scale datasets in the United States. The implementation centered on Cloud SQL for PostgreSQL with the PostGIS spatial extension enabled to provide native spatial types, functions, and indexing for raster and vector analysis. Configuration focused on managed database operations, SQL-level spatial processing, and orchestration of query workloads consistent with Database Management practices for geospatial data. This Cloud SQL deployment was integrated with BigQuery, Cloud Storage and Google Kubernetes Engine to create end-to-end data pipelines for ingestion, storage, and compute. Operational scope emphasized research and engineering teams performing scalable geospatial analysis, and the integrated stack accelerated research time-to-market while enabling Cloud SQL and PostGIS to serve as the spatial database tier for satellite-imagery workflows. | ||
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Lightricks | Professional Services | 650 | $150M | Israel | Google Cloud Sql For Postgresql | Database Management | 2024 | n/a | In 2024, Lightricks implemented Google Cloud Sql For Postgresql to power semantic and visual template search for its Videoleap consumer media application. The deployment targeted global search operations with primary operational ownership in product and R&D teams based at the company headquarters in Israel, and Google Cloud Sql For Postgresql was provisioned as the managed relational backend for vector workloads. The implementation used the pgvector extension to store and query embedding vectors, enabling vector indexes, similarity search workflows, and embedding persistence as core functional capabilities. These Database Management capabilities were integrated into Videoleap’s template recommendation and search pipeline to perform semantic and visual retrieval, supporting end-to-end workflows that convert model embeddings into ranked template results. Operational scope covered global consumer traffic for Videoleap while governance emphasized database configuration management, monitoring, and query performance tuning to support production search SLAs. The project explicitly reported boosting retrieval rates by 40 percent and reducing P90 latency from 1 to 4 seconds down to under 100 milliseconds, demonstrating the impact of pgvector-enabled vector search on user-facing retrieval performance. | ||
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Sanitas | Insurance | 733 | $96M | Switzerland | Google Cloud Sql For Postgresql | Database Management | 2020 | In 2020 Sanitas implemented Google Cloud Sql For Postgresql as its Database Management platform to migrate two customer-facing applications, a CRM and an in-house customer service portal. The migration consolidated database services into Cloud SQL for PostgreSQL and relocated application data that had been on-premises Oracle into Google Cloud, with Google engaged as the implementation partner for the Swiss deployment. The deployment architecture paired Google Kubernetes Engine with Google Cloud Sql For Postgresql to decentralize data ownership by microservice domain, shifting persistence to managed PostgreSQL instances while hosting application services in GKE. This configuration supported microservice-level data partitioning, containerized service orchestration, and a move toward a DevOps operational model that emphasized automated provisioning and service-level reliability. Operational scope covered customer service and CRM business functions across Switzerland, and the implementation explicitly integrated Cloud SQL for PostgreSQL with GKE-hosted services. Governance changes emphasized DevOps practices and domain-aligned data stewardship to increase reliability during peak loads, and outcomes stated by Sanitas include improved developer efficiency and reduced costs in Switzerland. |
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