Best Database Software for Aiven

Find and compare the best Database software for Aiven in 2024

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

  • 1
    Redis Reviews
    Redis Labs is the home of Redis. Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database. Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market. CIOs love the security and expert support of Redis, which provides 99.999% uptime. Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set. Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.
  • 2
    Apache Cassandra Reviews

    Apache Cassandra

    Apache Software Foundation

    1 Rating
    The Apache Cassandra database provides high availability and scalability without compromising performance. It is the ideal platform for mission-critical data because it offers linear scalability and demonstrated fault-tolerance with commodity hardware and cloud infrastructure. Cassandra's ability to replicate across multiple datacenters is first-in-class. This provides lower latency for your users, and the peace-of-mind that you can withstand regional outages.
  • 3
    Aiven for Apache Kafka Reviews
    Apache Kafka is a fully managed service that offers zero vendor lock-in, as well as all the capabilities you need to build your streaming infrastructure. You can easily set up fully managed Kafka within 10 minutes using our web console, or programmatically through our API, CLI or Terraform provider. Connect it to your existing tech stack using over 30 connectors. You can feel confident in your setup thanks to the service integrations that provide logs and metrics. Fully managed distributed data streaming platform that can be deployed in any cloud. Event-driven applications, near real-time data transfer and pipelines and stream analytics are all possible uses for this platform. Aiven's Apache Kafka is hosted and managed for you. You can create clusters, migrate clouds, upgrade versions, and deploy new nodes all with a single click. All this and more through a simple dashboard.
  • 4
    Aiven for PostgreSQL Reviews
    High performance, fully managed and hosted PostgreSQL. All the extensions you need right out of the box. You can set up fully managed PostgreSQL within 10 minutes using our web console, or programmatically via our API or CLI, Terraform provider, or Kubernetes operators. Stand-by nodes can be used as read replicas. You can also create additional read replicas in other public clouds or regions. Our Point-In-Time-Recovery lets you restore your data to any time within your selected retention period. Fully managed SQL relational database that can be deployed in the cloud of choice. It is known for its reliability, robust features, and exceptional performance. It can be used in almost any situation, including creating location-based services, mission-critical business applications, or as a general transactional data base.
  • 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.
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