
SQL Developer
Navicat
DbVisualizer
DataGrip
DtSQL
Apache MetaModel
Toad for MySQL
Apache Geode is a distributed, in-memory database with strong data consistency, built to support transactional applications with low latency and high concurrency needs.

ClusterControl
Patroni
Percona
ScaleGrid
Aiven
Free, self-hosted high availability console for PostgreSQL, MySQL, MariaDB Galera, MongoDB, Valkey, Redis and ClickHouse: automatic failover, agentless monitoring and backups. No per-node or per-cluster pricing.

Which is more popular?
Based on our record, Apache Geode seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | geode.apache.org | highavailabilitydata.com |
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| Platforms | — | |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Apache Geode yet.
HighAvailabilityData is a console you install on your own servers to deploy, monitor and keep running high-availability database clusters. If the primary goes down, a replica takes over automatically and writes are back in seconds. 7 engines PostgreSQL, MySQL, MariaDB Galera, MongoDB, Valkey,...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
Coding with Apache Geode : The Read and Write Through Pattern
More videos
No HighAvailabilityData videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Apache Geode and HighAvailabilityData. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


On further searching GemFire has been open sourced as Apache Geode. https://geode.apache.org/. - Source: Hacker News / over 4 years ago
Tracking HighAvailabilityData since Oct 2026.
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A Template for PostgreSQL HA with ZooKeeper, Etcd, or Consul
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DbVisualizer is the universal database client and SQL tool built for developers, analysts, DBAs, data engineers, and anyone working with data.
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