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

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

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

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 DataHub currently available using the table below. This list is updated regularly.

  • 1
    Google Cloud BigQuery
    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)
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  • 2
    Amazon Athena
    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.
  • 3
    SAP HANA
    SAP HANA in-memory database is for transactional and analytical workloads with any data type — on a single data copy. It breaks down the transactional and analytical silos in organizations, for quick decision-making, on premise and in the cloud. Innovate without boundaries on a database management system, where you can develop intelligent and live solutions for quick decision-making on a single data copy. And with advanced analytics, you can support next-generation transactional processing. Build data solutions with cloud-native scalability, speed, and performance. With the SAP HANA Cloud database, you can gain trusted, business-ready information from a single solution, while enabling security, privacy, and anonymization with proven enterprise reliability. An intelligent enterprise runs on insight from data – and more than ever, this insight must be delivered in real time.
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