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

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

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

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

  • 1
    Google Cloud Platform
    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.
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    Starting Price: Free ($300 in free credits)
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  • 2
    ScyllaDB

    ScyllaDB

    ScyllaDB

    ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures – eliminating barriers to scale as data grows. Unlike any other database, ScyllaDB is a distributed NoSQL database fully compatible with Apache Cassandra and Amazon DynamoDB, yet is built with deep architectural advancements that enable exceptional end-user experiences at radically lower costs. Over 400 game-changing companies like Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung use ScyllaDB for their toughest database challenges. ScyllaDB is available as free open source software, a fully-supported enterprise product, and a fully managed database-as-a-service (DBaaS) on multiple cloud providers.
  • 3
    Tessell

    Tessell

    Tessell

    Tessell makes deploying cloud databases extremely simple and elegant. Our fully-managed database service takes care of your data infrastructure and data management needs. Turn high-performance computing into durable, zero data loss infrastructure. Give your database enterprise-grade data protection with multi-AZ HA, cross-region DR, and BCP. Policy-driven consumer-grade data management for Prod, UAT, QA, Dev in one place. Hosted and managed by Tessell. In a few simple steps, create a fully-managed database service in under 10 minutes. Bring your own data or deploy the sample data, and enjoy the data apps. Modernize your databases in one click with Tessell. Get the best performance while being very cost-effective. Protect your production database with continuous backup of transactional data and logs. Create and store all kinds of data, including table dumps and anonymized data, for secondary environments.
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