Best Database as a Service (DBaaS) Providers for OpenAI

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Compare the Top Database as a Service (DBaaS) Providers that integrate with OpenAI as of November 2025

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This a list of Database as a Service (DBaaS) providers that integrate with OpenAI. Use the filters on the left to add additional filters for products that have integrations with OpenAI. View the products that work with OpenAI in the table below.

What are Database as a Service (DBaaS) Providers for OpenAI?

Database as a Service (DBaaS) providers offer cloud-based database management solutions, enabling users to store, access, and manage databases without handling the underlying infrastructure. These providers offer automated maintenance, backups, and scaling, allowing businesses to focus on application development rather than database administration. DBaaS supports various database types, including SQL, NoSQL, and NewSQL, making it suitable for a wide range of use cases. With pay-as-you-go pricing models, DBaaS reduces operational costs and provides on-demand scalability to handle fluctuating workloads. By leveraging DBaaS, companies can accelerate development, enhance reliability, and improve overall operational efficiency. Compare and read user reviews of the best Database as a Service (DBaaS) providers for OpenAI currently available using the table below. This list is updated regularly.

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    TigerData

    TigerData

    TigerData

    TigerData is a high-performance, cloud-native PostgreSQL platform built for real-time analytics, time-series processing, vector workloads and intelligent agent-driven applications. It retains full SQL compatibility while delivering exceptional speed and scale: the platform powers millions of databases, supports streaming data across devices and applications, and enables organizations to consolidate transactional and analytical workloads in a single engine. TigerData enhances PostgreSQL with extensions and execution optimizations that provide low-latency queries, high-concurrency insert rates, hybrid operational/analytical use cases and vector embedding support for AI-driven workloads. Developers gain simplicity and reliability by staying within PostgreSQL’s ecosystem, familiar tools, connectors and syntax, while unlocking performance on par with purpose-built time-series or vector engines.
    Starting Price: $30 per month
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