Best Database as a Service (DBaaS) Providers for OpenMetadata
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Compare the Top Database as a Service (DBaaS) Providers that integrate with OpenMetadata as of September 2025
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This a list of Database as a Service (DBaaS) providers that integrate with OpenMetadata. Use the filters on the left to add additional filters for products that have integrations with OpenMetadata. View the products that work with OpenMetadata in the table below.
What are Database as a Service (DBaaS) Providers for OpenMetadata?
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 OpenMetadata currently available using the table below. This list is updated regularly.
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1
Google Cloud BigQuery
Google
BigQuery offers a Database as a Service (DBaaS) model, providing fully managed data storage, query execution, and infrastructure without the need for users to manage servers or hardware. This serverless platform is designed for scalability, ensuring that businesses can handle large datasets without worrying about capacity or performance issues. BigQuery’s flexibility and ease of use make it an excellent choice for organizations seeking a DBaaS solution. New customers receive $300 in free credits, allowing them to explore BigQuery's features and experience its DBaaS capabilities without upfront costs. This approach eliminates database administration overhead, making it ideal for teams looking to focus on data analysis rather than maintenance.Starting Price: Free ($300 in free credits) -
2
Google Cloud Platform
Google
Google Cloud Platform provides Database as a Service (DBaaS) options like Cloud SQL, Cloud Spanner, and Cloud Bigtable, offering fully managed database solutions with automatic scaling, patching, and high availability. These DBaaS offerings reduce the operational overhead of managing databases and are ideal for businesses looking to streamline database operations. New customers receive $300 in free credits to run, test, and deploy workloads, allowing them to experiment with DBaaS solutions on GCP with no upfront costs. These services are designed to handle everything from backups and security to updates, ensuring that businesses can focus on their core applications. GCP also provides cross-region replication, ensuring that databases remain highly available even during system failures. The platform's flexibility allows businesses to choose the right database model, whether relational or NoSQL, to suit their workload needs.Starting Price: Free ($300 in free credits) -
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Amazon Athena
Amazon
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning. -
4
Amazon DynamoDB
Amazon
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, Multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. Many of the world's fastest-growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB to support their mission-critical workloads. Focus on driving innovation with no operational overhead. Build out your game platform with player data, session history, and leaderboards for millions of concurrent users. Use design patterns for deploying shopping carts, workflow engines, inventory tracking, and customer profiles. DynamoDB supports high-traffic, extreme-scaled events. -
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CockroachDB
Cockroach Labs
CockroachDB: Cloud-native, distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services deserve a database that scales across clouds, eases operational complexity, and improves reliability. CockroachDB delivers resilient, distributed SQL with ACID transactions and data partitioned by location. Automate operations for mission-critical applications by pairing CockroachDB with orchestration tools like Kubernetes and Mesosphere DC/OS. Every node can service both reads and writes so that you can scale query throughput and database capacity by simply adding more endpoints. Just add new nodes to CockroachDB, and it automatically rebalances data, completely removing the pain of manual sharding. As demand shifts, CockroachDB detects hotspots and intelligently distributes data to maintain performance. Tune your database at the row level so that data lives close to your users and you can minimize query latency. -
6
Azure SQL Database
Microsoft
Part of the Azure SQL family, Azure SQL Database is the intelligent, scalable, relational database service built for the cloud. It’s evergreen and always up to date, with AI-powered and automated features that optimize performance and durability for you. Serverless compute and Hyperscale storage options automatically scale resources on demand, so you can focus on building new applications without worrying about storage size or resource management. Eliminate the complexity of configuring and managing high availability, tuning, backups and other database tasks with a fully managed SQL database. Accelerate your application development on the only cloud with evergreen SQL using the latest SQL Server capabilities, and never worry about updates, upgrades, or end of support again. Build modern apps your way with provisioned and serverless compute options.Starting Price: $0.5218 per vCore-hour -
7
IBM Db2
IBM
IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data source service, making virtually all of your data available across hybrid or multicloud environments to fuel your AI applications. Easily converge your transactional data stores and rapidly derive insights through universal, intelligent querying of data across disparate sources. Cut costs with the multimodel capability that eliminates the need for data replication and migration. Enhance agility by running Db2 on any cloud vendor. -
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Couchbase
Couchbase
Unlike other NoSQL databases, Couchbase provides an enterprise-class, multicloud to edge database that offers the robust capabilities required for business-critical applications on a highly scalable and available platform. As a distributed cloud-native database, Couchbase runs in modern dynamic environments and on any cloud, either customer-managed or fully managed as-a-service. Couchbase is built on open standards, combining the best of NoSQL with the power and familiarity of SQL, to simplify the transition from mainframe and relational databases. Couchbase Server is a multipurpose, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON’s versatility, with a foundation that is extremely fast and scalable. It’s used across industries for things like user profiles, dynamic product catalogs, GenAI apps, vector search, high-speed caching, and much more.
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