Voldemort is a distributed database that’s an open source clone of Amazon’s Dynamo. It automatically replicates data over multiple servers, and automatically partitions them as well so each server only contains a subset of the total data. It offers many other features such as pluggable serialization support, data item versioning and an SSD Optimized Read Write storage engine.

Voldemort is not a relational database or an object database. It is essentially a big, distributed, persistent, fault-tolerant hash table. This doesn’t make it ideal for all applications but does offer unique advantages, such as the ability to read and write scale horizontally, and the ability to combine in memory caching with the storage system so that a separate caching tier is not required.

Features

  • Automatic data replication over multiple servers across multiple datacenters
  • Automatic data partitioning
  • Transparent server failure handling
  • Supports pluggable serialization
  • Data item versioning
  • Independent nodes with no central point of failure or coordination
  • Pluggable storage engines
  • SSD Optimized Read Write storage engine, with support for multi-tenancy
  • Built in mechanism to fetch & serve batch computed data from Hadoop
  • Supports pluggable data placement strategies

Project Samples

Project Activity

See All Activity >

Categories

Database

License

Apache License V2.0

Follow Voldemort

Voldemort Web Site

Other Useful Business Software
Veeam Data Platform v13.1 Icon
Veeam Data Platform v13.1

Move workloads across hypervisors and clouds with no vendor lock-in. Try VDP free today.

Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
Try Now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Voldemort!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Java

Related Categories

Java Database Software

Registered

2020-07-16