List of OpenAI Rockset Customers
San Francisco, 94158, CA,
United States
Since 2010, our global team of researchers has been studying OpenAI Rockset 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 OpenAI Rockset for Analytics and BI 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 OpenAI Rockset for Analytics and BI include: Meta, a United States based Media organisation with 75945 employees and revenues of $164.50 billion, JetBlue, a United States based Transportation organisation with 23000 employees and revenues of $9.28 billion, Whatnot, a United States based Professional Services organisation with 950 employees and revenues of $215.0 million and many others.
Contact us if you need a completed and verified list of companies using OpenAI Rockset, 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 OpenAI Rockset 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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JetBlue | Transportation | 23000 | $9.3B | United States | OpenAI | OpenAI Rockset | Analytics and BI | 2023 | n/a |
In 2023, JetBlue deployed OpenAI Rockset as an Analytics and BI platform to power real-time AI use cases. The implementation focused on flight delay predictions, decision augmentation, a customer facing chatbot, and operational dashboards across the United States.
The implementation emphasized real time analytics capabilities, including vector search and indexing for low latency queries to support AI driven inference and incremental ingestion. OpenAI Rockset was used to enable subsecond query patterns for model inference and to support iterative model tuning and prompt evaluation workflows.
Operational coverage centered on operations and customer service functions, with OpenAI Rockset feeding both customer facing interfaces and internal operational dashboards. The deployment architecture linked continuous streaming ingestion to indexed analytic stores, enabling decision augmentation and automated routing of predictive signals to dashboards and chat interfaces.
Governance and rollout followed an iterative pattern to accelerate iteration cycles and enable real time automation, aligning data indexing and query semantics with operational workflows. JetBlue used OpenAI Rockset to centralize low latency analytics for AI driven predictions and customer engagement, improving the speed of iteration and supporting real time operational automation.
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Meta | Media | 75945 | $164.5B | United States | OpenAI | OpenAI Rockset | Analytics and BI | 2023 | n/a |
In 2023 Meta integrated OpenAI Rockset as a component of its PyTorch and AI infrastructure in the United States. OpenAI Rockset is used in Analytics and BI workflows to improve data access and accelerate ML workflows for model development and serving.
Implementation centered on modules that support PyTorch infrastructure and real time indexing for ML feature retrieval, leveraging Rockset capabilities described in vendor growth materials and announcements. The deployment was structured to provide fast query access to feature data for both iterative model development and online serving, with configuration focused on real time ingestion and indexing pipelines to enable immediate feature availability.
Operational coverage was scoped to Meta engineering teams working on model development and serving in the United States, integrating OpenAI Rockset into PyTorch based pipelines and feature retrieval layers. Governance emphasized embedding the service as a data access tier within existing ML workflows, with rollout oriented toward accelerating model iteration and reducing friction for feature lookup during training and inference, consistent with the stated objective to improve data access and accelerate ML workflows.
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Whatnot | Professional Services | 950 | $215M | United States | OpenAI | OpenAI Rockset | Analytics and BI | 2023 | n/a |
In 2023, Whatnot implemented OpenAI Rockset to power real time personalization for its live shopping marketplace in the United States. OpenAI Rockset, classified in the Analytics and BI category, was deployed as a low latency indexing and query layer that enables subsecond personalization queries against user behavior and content signals. The implementation emphasized real time personalization and indexing of embeddings and metadata to support recommendation, content ranking, and discovery workflows during live sessions.
The architecture centered on continuous ingestion and indexing to maintain queryable embeddings and metadata for recommendation engines and personalization services, with the OpenAI Rockset application serving as the runtime query surface for product and engineering teams. Operational scope covered Whatnot's live shopping operations in the United States and the implementation was used to improve end user experience by delivering subsecond personalization queries, while aligning analytics and BI usage with real time personalization requirements.
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