List of DataStax Astra DB Customers
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United States
Since 2010, our global team of researchers has been studying DataStax Astra DB 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 DataStax Astra DB 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 DataStax Astra DB for Database Management include: Hornet, a United States based Communications organisation with 150 employees and revenues of $25.0 million, Supplant, a Israel based Life Sciences organisation with 120 employees and revenues of $16.0 million, Arre Voice India, a India based Media organisation with 60 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using DataStax Astra DB, 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 DataStax Astra DB 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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Arre Voice India | Media | 60 | $3M | India | DataStax | DataStax Astra DB | Database Management | 2025 | n/a |
In 2025 Arre Voice India implemented DataStax Astra DB to power a recommendation engine and migrate to a microservices architecture, using DataStax Astra DB as the vector database within its Database Management environment. The deployment decision centered on enabling real-time personalized content recommendations across Arre Voice digital properties.
The implementation configured DataStax Astra DB to store and serve high-dimensional embeddings and to support low-latency vector search for a production recommendation service. Functional capabilities implemented included the recommendation engine data layer, content ingestion pipelines feeding embedding vectors, and real-time recommendation APIs for consumer personalization workflows.
Architecturally the roll out was executed on AWS according to the AWS case study, with DataStax Astra DB operating as a managed vector database integrated into a new microservices topology. Operational scope focused on consumer-facing recommendation delivery and the engineering stack that supports model serving and API orchestration for personalized content.
Governance and rollout followed a service-oriented approach to isolate recommendation workloads, instrument availability and latency monitoring, and incrementally shift traffic to the microservices-based recommendation endpoints. Outcomes reported in the AWS/Arré case study include 30 million personalized recommendations per month, approximately 90% reduction in latency and 99.9% availability after the migration.
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Hornet | Communications | 150 | $25M | United States | DataStax | DataStax Astra DB | Database Management | 2023 | n/a |
In 2023, Hornet implemented DataStax Astra DB to run Cassandra workloads and add vector search capabilities for its global social and dating application. The deployment used DataStax Astra DB as the primary Database Management platform to combine semantic vector results with geographic and attribute filtering to improve profile matching across its global footprint including the United States.
Configuration emphasized SAI and vector query support, with vector indexing and semantic nearest neighbor queries introduced alongside attribute-based filters to drive profile scoring. The implementation operationalized vector search pipelines within DataStax Astra DB and used a pay as you use consumption model to shift operational responsibility to the managed service.
Operational scope covered Hornet’s production search and matching services and impacted product engineering and data science workflows responsible for recommendation and profile matching logic. Integrations focused on embedding SAI/vector queries into application query flows so semantic results could be combined with geospatial and attribute filters for ranked matches.
Reported outcomes included reduced operational overhead, enabled SAI/vector queries for better matches, and lower running costs for Cassandra workloads, with DataStax reporting up to approximately 20 percent savings from pay as you use Astra DB.
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Supplant | Life Sciences | 120 | $16M | Israel | DataStax | DataStax Astra DB | Database Management | 2022 | n/a |
In 2022, SupPlant implemented DataStax Astra DB as its primary data store within Database Management. The deployment in Israel consolidated time series IoT and plant sensor data to support real time analysis and AI driven irrigation recommendations for precision agriculture. DataStax Astra DB serves as the operational repository for sensor telemetry and state used by SupPlant analytics and model scoring workflows.
The implementation used a cloud managed distributed database architecture to handle large plant datasets and provide low latency reads for real time crop insights. Functional capabilities centered on high velocity time series ingestion, persistent storage for historical telemetry, query patterns optimized for sliding window analysis, and support for downstream analytics pipelines that feed irrigation recommendation engines. DataStax Astra DB was configured as the canonical store for both raw sensor streams and derived agronomic state.
Operational scope emphasized product engineering and data science teams in Israel, shifting day to day database responsibilities to the managed service model. Governance and workflow adjustments prioritized data retention and pipeline orchestration to maintain continuity for large plant datasets. The deployment delivered business continuity for large datasets and freed SupPlant to focus engineering effort on agronomic features rather than database operations.
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Buyer Intent: Companies Evaluating DataStax Astra DB
- NVIDIA, a United States based Manufacturing organization with 36000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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