Ghost DB vs KeyDB

Struggling to choose between Ghost DB and KeyDB? Both products offer unique advantages, making it a tough decision.

Ghost DB is a Development solution with tags like timeseries, scalable, highperformance, visualization.

It boasts features such as Horizontally scalable architecture, Optimized for time-series data, High performance write throughput, Built-in query engine and visualization tools, Open source under Apache license and pros including Handles large volumes of time-series data efficiently, Easy horizontal scaling, Fast write performance, Purpose-built for time-series use cases, Free and open source.

On the other hand, KeyDB is a Development product tagged with opensource, redis, keyvalue, performance.

Its standout features include In-memory key-value store, Supports data structures like Strings, Hashes, Lists, Sets, Sorted Sets and Streams, Built-in replication and clustering, Supports Lua scripting, Persistence - RDB and AOF, Transactions, and it shines with pros like Faster performance than Redis, Additional data structures like Sorted Sets and Streams, Modular architecture, Compatible with Redis clients and ecosystem, Active development.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Ghost DB

Ghost DB

Ghost DB is an open-source database platform optimized for managing large volumes of time-series data. It is horizontally scalable, high performance, and has a query engine and visualization tools designed specifically for handling time-series data.

Categories:
timeseries scalable highperformance visualization

Ghost DB Features

  1. Horizontally scalable architecture
  2. Optimized for time-series data
  3. High performance write throughput
  4. Built-in query engine and visualization tools
  5. Open source under Apache license

Pricing

  • Open Source

Pros

Handles large volumes of time-series data efficiently

Easy horizontal scaling

Fast write performance

Purpose-built for time-series use cases

Free and open source

Cons

Limited to time-series data only

Less flexible than general purpose databases

Lacks some features of commercial databases


KeyDB

KeyDB

KeyDB is an open source, high performance fork of Redis that supports additional data structures like Sorted Sets and Streams. It aims to be a faster, more modular alternative to Redis while maintaining compatibility.

Categories:
opensource redis keyvalue performance

KeyDB Features

  1. In-memory key-value store
  2. Supports data structures like Strings, Hashes, Lists, Sets, Sorted Sets and Streams
  3. Built-in replication and clustering
  4. Supports Lua scripting
  5. Persistence - RDB and AOF
  6. Transactions

Pricing

  • Open Source

Pros

Faster performance than Redis

Additional data structures like Sorted Sets and Streams

Modular architecture

Compatible with Redis clients and ecosystem

Active development

Cons

Less adoption than Redis

Smaller community than Redis

Not as battle-tested as Redis yet