Hadoop vs. RocksDB vs. TokuMX

Get help choosing one of these Get news updates about these tools


Hadoop

RocksDB

TokuMX

Favorites

43

Favorites

8

Favorites

3

Hacker News, Reddit, Stack Overflow Stats

GitHub Stats

Description

What is Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

What is RocksDB?

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

What is TokuMX?

TokuMX is a drop-in replacement for MongoDB, and offers 20X performance improvements, 90% reduction in database size, and support for ACID transactions with MVCC. TokuMX has the same binaries, supports the same drivers, data model, and features of MongoDB, because it shares much of its code with MongoDB.

Pros about this tool

Why do you like Hadoop?

Why do you like RocksDB?

Why do you like TokuMX?

Cons about this tool

Pricing

TokuMX Pricing

Customers

Integrations

Latest News

Elasticsearch for Apache Hadoop 6.0.0 GA is Released
Introducing Spark Structured Streaming Support in ES...
Elasticsearch for Apache Hadoop 6.0.0-beta1 released
All things RocksDB at Percona Live Europe 2017


Interest Over Time


Get help choosing one of these