Best Database Software for Grafana

Find and compare the best Database software for Grafana in 2024

Use the comparison tool below to compare the top Database software for Grafana on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    StarfishETL Reviews

    StarfishETL

    StarfishETL

    400/month
    StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.
  • 2
    Aiven Reviews

    Aiven

    Aiven

    $200.00 per month
    Aiven manages your open-source data infrastructure in the cloud so that you don't have. Developers can do what is best for them: create applications. We do what we love: manage cloud data infrastructure. All solutions are open-source. You can also freely transfer data between clouds and create multi-cloud environments. You will know exactly what you will be paying and why. We combine storage, networking, and basic support costs. We will keep your Aiven software up and running. We will be there to help you if there is ever an issue. In 10 minutes, you can deploy a service on Aiven. 1. Register now - No credit card information required 2. Select your open-source service and choose the region and cloud to deploy to it 3. Select your plan and get $300 in credit 4. Click "Create service" to configure your data sources
  • 3
    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.
  • 4
    ScyllaDB Reviews
    The fastest NoSQL database in the world. The fastest NoSQL database available, capable of millions IOPS per node with less than 1 millisecond latency. This database will accelerate your application performance. Scylla, a drop-in Apache Cassandra and Amazon DynamoDB alternative, powers your applications with extreme throughput and ultra-low latency. To power modern, high-performance applications, we used the best features of high availability databases to create a NoSQL database that is significantly more efficient, fault-tolerant, and resource-efficient. This high-availability database is built from scratch in C++ for Linux. Scylla unleashes your infrastructure's true potential for running high-throughput/low-latency workloads.
  • 5
    M3 Reviews
    Cloud Native companies who want to scale up Prometheus-based monitoring systems will find M3 the best choice. M3 can be used to access Prometheus Remote Storage. It also has 100% PromQL compatibility. M3 was originally created by Uber to provide visibility into Uber’s business operations, microservices, and infrastructure. M3 is able to horizontally scale easily and provides a single storage solution for all monitoring needs. Three copies of data with quorum reads and writes for consistency. In production, it is possible to consume more than one billion datapoints per seconds and serve more than two billion datapoints every second. Open-sourced under the Apache 2 License with a large active community. Contributions are welcome.
  • 6
    Altinity Reviews
    Altinity's engineering team is able to implement everything, from core ClickHouse features to Kubernetes operation behavior to client library improvement. ClickHouse's GUI manager is a flexible docker-based GUI that can do the following: Monitor cluster status; Install ClickHouse clusters; Add and delete nodes; Monitor cluster status. Help with troubleshooting. Software integrations and third-party tools: Ingest: Kafka and ClickTail; APIs : Python, Golang and ODBC; Java; Kubernetes. UI tools: Grafana and Superset. Tabix. Graphite. Databases: MySQL and PostgreSQL. BI tools: Tableau.
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