Best Database as a Service (DBaaS) Providers for Prometheus

Find and compare the best Database as a Service (DBaaS) providers for Prometheus in 2026

Use the comparison tool below to compare the top Database as a Service (DBaaS) providers for Prometheus on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Dragonfly Reviews

    Dragonfly

    DragonflyDB

    Free
    16 Ratings
    See Provider
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    Dragonfly Cloud offers a comprehensive managed in-memory data storage solution, leveraging the capabilities of Dragonfly, a database compatible with Redis and Valkey that is optimized for contemporary hardware. This service takes care of all aspects such as provisioning, scaling, ensuring high availability, performing backups, and executing upgrades, allowing engineering teams to dedicate their efforts to application development rather than cluster management. Thanks to Dragonfly's multi-threaded architecture, which maximizes the performance of each instance, Dragonfly Cloud provides superior throughput relative to cost when compared to managed services based on single-threaded systems. Notable successes include Instacart, which achieved a 70% reduction in cluster size and a 50% decrease in average latency, as well as redBus, which was able to double its throughput while halving latency. The platform ensures compatibility with existing Redis and Valkey clients and commands, making transitions from services such as ElastiCache or Memorystore seamless. Dragonfly Cloud is versatile, supporting a range of applications including caching, session storage, queues, real-time analytics, and AI tasks such as feature storage and vector searching.
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    InfluxDB Reviews
    InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.
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    Tiger Data Reviews

    Tiger Data

    Tiger Data

    $30 per month
    Tiger Data reimagines PostgreSQL for the modern era — powering everything from IoT and fintech to AI and Web3. As the creator of TimescaleDB, it brings native time-series, event, and analytical capabilities to the world’s most trusted database engine. Through Tiger Cloud, developers gain access to a fully managed, elastic infrastructure with auto-scaling, high availability, and point-in-time recovery. The platform introduces core innovations like Forks (copy-on-write storage branches for CI/CD and testing), Memory (durable agent context and recall), and Search (hybrid BM25 and vector retrieval). Combined with hypertables, continuous aggregates, and materialized views, Tiger delivers the speed of specialized analytical systems without sacrificing SQL simplicity. Teams use Tiger Data to unify real-time and historical analytics, build AI-driven workflows, and streamline data management at scale. It integrates seamlessly with the entire PostgreSQL ecosystem, supporting APIs, CLIs, and modern development frameworks. With over 20,000 GitHub stars and a thriving developer community, Tiger Data stands as the evolution of PostgreSQL for the intelligent data age.
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    ScyllaDB Reviews
    ScyllaDB serves as an ideal database solution for applications that demand high performance and minimal latency, catering specifically to data-intensive needs. It empowers teams to fully utilize the growing computing capabilities of modern infrastructures, effectively removing obstacles to scaling as data volumes expand. Distinct from other database systems, ScyllaDB stands out as a distributed NoSQL database that is completely compatible with both Apache Cassandra and Amazon DynamoDB, while incorporating significant architectural innovations that deliver outstanding user experiences at significantly reduced costs. Over 400 transformative companies, including Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung, rely on ScyllaDB to tackle their most challenging database requirements. Furthermore, ScyllaDB is offered in various formats, including a free open-source version, a fully-supported enterprise solution, and a fully managed database-as-a-service (DBaaS) available across multiple cloud platforms, ensuring flexibility for diverse user needs. This versatility makes it an attractive choice for organizations looking to optimize their database performance.
  • 5
    Oracle Database Reviews
    Oracle's database offerings provide clients with cost-effective and high-efficiency options, including the renowned multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. The Oracle Autonomous Database, which can be accessed on-premises through Oracle Cloud@Customer or within the Oracle Cloud Infrastructure, allows users to streamline their relational database systems and lessen management burdens. By removing the intricacies associated with operating and securing Oracle Database, Oracle Autonomous Database ensures customers experience exceptional performance, scalability, and reliability. Furthermore, organizations concerned about data residency and network latency can opt for on-premises deployment of Oracle Database. Additionally, clients who rely on specific versions of Oracle databases maintain full authority over their operational versions and the timing of any updates. This flexibility empowers businesses to tailor their database environments according to their unique requirements.
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