List of the Top 10 Database Software for Prometheus in 2026

ManageEngine Applications Manager is a robust solution designed for enterprises to oversee their entire application ecosystem effectively. This platform empowers IT and DevOps teams to gain visibility into all the interconnected components of their application stack. With Applications Manager, monitoring the performance of essential online applications, web servers, databases, cloud services, middleware, ERP systems, communication elements, and various other systems becomes straightforward. It offers a diverse array of features aimed at streamlining the troubleshooting process, significantly reducing mean time to resolution (MTTR). This tool is invaluable for identifying and addressing performance issues proactively, preventing potential disruptions for end users. The platform includes a comprehensive dashboard that can be tailored to display immediate performance metrics. By establishing alerts, the monitoring solution continuously evaluates the application stack for any performance anomalies, ensuring that the relevant personnel are informed promptly. Furthermore, Applications Manager enhances performance data interpretation by integrating advanced machine learning capabilities, transforming raw data into actionable insights that drive performance improvement. This not only aids in maintaining operational efficiency but also supports strategic decision-making processes.

MongoDB is a flexible, document-based, distributed database created with modern application developers and the cloud ecosystem in mind. It enhances productivity significantly, allowing teams to deliver and refine products three to five times quicker through its adjustable document data structure and a unified query interface that accommodates various requirements. Whether you're catering to your first client or overseeing 20 million users worldwide, you can consistently achieve your performance service level agreements in any environment. The platform streamlines high availability, protects data integrity, and meets the security and compliance standards necessary for your essential workloads. Moreover, it offers an extensive range of cloud database services that support a wide spectrum of use cases, such as transactional processing, analytics, search capabilities, and data visualization. In addition, deploying secure mobile applications is straightforward, thanks to built-in edge-to-cloud synchronization and automatic conflict resolution. MongoDB's adaptability enables its operation in diverse settings, from personal laptops to large data centers, making it an exceptionally versatile solution for addressing contemporary data management challenges. This makes MongoDB not just a database, but a comprehensive tool for innovation and efficiency in the digital age.

ClickHouse is a highly efficient, open-source OLAP database management system that is specifically engineered for rapid data processing. Its unique column-oriented design allows users to generate analytical reports through real-time SQL queries with ease. In comparison to other column-oriented databases, ClickHouse demonstrates superior performance capabilities. This system can efficiently manage hundreds of millions to over a billion rows and can process tens of gigabytes of data per second on a single server. By optimizing hardware utilization, ClickHouse guarantees swift query execution. For individual queries, its maximum processing ability can surpass 2 terabytes per second, focusing solely on the relevant columns after decompression. When deployed in a distributed setup, read operations are seamlessly optimized across various replicas to reduce latency effectively. Furthermore, ClickHouse incorporates multi-master asynchronous replication, which supports deployment across multiple data centers. Each node functions independently, thus preventing any single points of failure and significantly improving overall system reliability. This robust architecture not only allows organizations to sustain high availability but also ensures consistent performance, even when faced with substantial workloads, making it an ideal choice for businesses with demanding data requirements.

InfluxDB is a specialized data platform crafted to manage all types of time series data, encompassing users, sensors, applications, and infrastructure, allowing for the seamless collection, storage, visualization, and transformation of insights into actionable strategies. It features a comprehensive library of over 250 open-source Telegraf plugins, simplifying the process of importing and monitoring data from a variety of systems. By empowering developers, InfluxDB facilitates the creation of innovative IoT, monitoring, and analytics applications and services. Its adaptable architecture can accommodate various implementations, whether in the cloud, at the edge, or on-premises. Moreover, its versatility, ease of access, and an array of supporting tools such as client libraries and APIs enable developers of all experience levels to swiftly create applications and services utilizing time series data. The platform is optimized for enhancing developer productivity and efficiency, allowing builders to concentrate on the essential features that add value to their internal projects and provide their applications with a competitive advantage. To assist newcomers, InfluxData provides complimentary training through InfluxDB University, ensuring that anyone can quickly acquire the skills needed to leverage this powerful platform effectively.

Tiger Data is a next-generation PostgreSQL++ platform engineered for developers, devices, and AI agents that need scalable, intelligent data systems. As the company behind TimescaleDB, it extends PostgreSQL into a universal foundation for time-series analytics, real-time observability, AI retrieval, and agentic applications. The platform’s modular design introduces key primitives — Interface, Forks, Memory, Search, Materialization, and Scale — which collectively empower developers to build, deploy, and automate data-intensive workloads with ease. With Forks, users can instantly clone environments for testing or development, while Memory ensures contextual persistence across agents and time. Its hybrid search engine merges BM25 ranking with vector retrieval, enabling semantic and structured queries within a single system. Built-in time-series and streaming support allows sub-second analytics on billions of rows, while continuous aggregates and columnar compression optimize performance and cost. Tiger Cloud offers a fully managed deployment with multi-AZ resilience, encryption, SSO, and tiered storage for maximum efficiency. From IoT telemetry and financial data to AI observability and agent context storage, Tiger Data unifies real-time and analytical workloads under one Postgres-compatible umbrella. Companies like Cloudflare, Toyota, Polymarket, and Hugging Face rely on Tiger to simplify their infrastructure while scaling insights globally. With over 20,000 developers and a 4.7 G2 score, Tiger Data defines the future of PostgreSQL — smarter, faster, and built for the next era of intelligent systems.

ScyllaDB is an exemplary database solution tailored for applications that require exceptional performance and low latency, specifically addressing the needs of data-heavy operations. It enables teams to leverage the increasing processing power of contemporary infrastructures, effectively eliminating barriers to scaling as data volumes grow. Unlike traditional database systems, ScyllaDB is a distributed NoSQL database that ensures complete compatibility with both Apache Cassandra and Amazon DynamoDB, while also featuring innovative architectural advancements that enhance user experience at significantly lower costs. More than 400 pioneering companies, such as Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung, depend on ScyllaDB to meet their complex database challenges. In addition to its robust capabilities, ScyllaDB is available in multiple formats, including a free open-source edition, a fully-supported enterprise version, and a managed database-as-a-service (DBaaS) that operates across various cloud platforms, providing flexibility to suit a wide array of user requirements. This adaptability not only positions ScyllaDB as a leading choice but also encourages organizations to enhance their database performance and efficiency in an increasingly data-driven landscape.

An enterprise-grade database designed for handling time series, documents, and vectors. It allows for the storage of diverse data types while merging the ease and scalability of NoSQL with the capabilities of SQL. CrateDB stands out as a distributed database that executes queries in mere milliseconds, no matter the complexity, data volume, or speed of incoming data. This makes it an ideal solution for organizations that require rapid and efficient data processing.

RethinkDB facilitates the instantaneous delivery of JSON data to applications, ensuring real-time functionality. Traditional methods of polling for updates can result in slow performance, scalability problems, and increased maintenance burdens. As a robust and open-source database solution, RethinkDB greatly eases the process of developing applications that require real-time capabilities. Industry leaders such as Google Docs, Trello, and Quora exemplify the ideal of real-time web interactions. With RethinkDB, developers can craft exceptional real-time applications with significantly reduced effort and complexity. In multiplayer gaming, for instance, it is essential for all players to see each other's actions without delay. RethinkDB enhances the data architecture needed for quick, high-volume real-time exchanges. Furthermore, it simplifies the construction of systems for real-time trading and optimization, which often require rapid data handling. The database allows for the broadcasting of live updates to numerous clients, facilitating pricing alterations within mere milliseconds. Moreover, RethinkDB supports the development of real-time dashboards with data push notifications, which can accelerate business decision-making processes. Collectively, these attributes position RethinkDB as an indispensable resource for developers focused on maximizing user interaction and responsiveness in their applications. Ultimately, its capabilities make it an ideal choice for any organization aiming to elevate its real-time performance.

M3 emerges as the premier choice for Cloud Native organizations looking to optimize their Prometheus-based monitoring systems. As a Prometheus Remote Storage solution, M3 offers full compatibility with PromQL, enabling effortless integration into existing setups. Originally developed by Uber, M3 was intended to provide detailed visibility into the company's operations, microservices, and infrastructure. Its impressive horizontal scaling ability allows M3 to serve as a centralized storage solution for a variety of monitoring applications. The system safeguards data integrity by maintaining three replicas and utilizes quorum reads and writes to ensure consistency. M3 has proven its reliability in production scenarios, successfully processing over one billion data points per second and enabling more than two billion data point reads within the same period. Furthermore, it is open-sourced under the Apache 2 license and benefits from a dynamic and dedicated community that fosters its continuous development and enhancement. This makes M3 not only a powerful tool but also a collaborative project that thrives on community input and innovation, ensuring it remains at the forefront of monitoring solutions.

Oracle offers a range of database solutions designed to be both cost-effective and highly efficient, featuring prominent options such as a multi-model database management system, in-memory databases, NoSQL, and MySQL. The Oracle Autonomous Database enhances the user experience by enabling streamlined management of relational database systems, accessible both on-premises via Oracle Cloud@Customer and through Oracle Cloud Infrastructure, thereby reducing administrative burdens. By simplifying the complexities involved in operating and securing Oracle Database, the Autonomous Database provides users with outstanding performance, scalability, and reliability. For organizations focused on data residency and minimizing network latency, the option for on-premises deployment of Oracle Database is available. Moreover, clients using specific versions of Oracle databases retain complete control over their operational versions, as well as the timing of updates. This level of flexibility not only empowers businesses to customize their database environments but also ensures they can adapt to evolving requirements seamlessly. Ultimately, Oracle's diverse database offerings are tailored to meet the varied needs of clients across different sectors.