Cassandra vs. RocksDB vs. ToroDB

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Cassandra

RocksDB

ToroDB

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Description

What is Cassandra?

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

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 ToroDB?

ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.

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Why do you like RocksDB?

Pros
Why do you like ToroDB?

Cons about this tool

Cons
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No Cons submitted yet for RocksDB
Cons
No Cons submitted yet for ToroDB

Pricing

ToroDB Pricing

Companies

277 Companies Using Cassandra
4 Companies Using RocksDB
0 Companies Using ToroDB

Integrations

Cassandra Integrations
No integrations listed yet
ToroDB Integrations

Latest News

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Using Instaclustr and Cassandra with Kong
Cassandra Query Language
All things RocksDB at Percona Live Europe 2017


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