RethinkDB vs RocksDB

Overview

RethinkDB

Stacks292

Followers406

Votes307

GitHub Stars27.0K

Forks1.9K

RocksDB

Stacks141

Followers290

Votes11

GitHub Stars30.9K

Forks6.6K

RethinkDB vs RocksDB: What are the differences?

What is RethinkDB? JSON. Scales to multiple machines with very little effort. Open source. RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

What is RocksDB? Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team. 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.

RethinkDB and RocksDB can be categorized as "Databases" tools.

Some of the features offered by RethinkDB are:

JSON data model and immediate consistency.
Distributed joins, subqueries, aggregation, atomic updates.
Secondary, compound, and arbitrarily computed indexes.

On the other hand, RocksDB provides the following key features:

Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM
Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory
Scales linearly with number of CPUs so that it works well on ARM processors

"Powerful query language" is the top reason why over 46 developers like RethinkDB, while over 2 developers mention "Very fast" as the leading cause for choosing RocksDB.

RethinkDB and RocksDB are both open source tools. It seems that RethinkDB with 22.4K GitHub stars and 1.74K forks on GitHub has more adoption than RocksDB with 14.3K GitHub stars and 3.12K GitHub forks.

According to the StackShare community, RethinkDB has a broader approval, being mentioned in 37 company stacks & 25 developers stacks; compared to RocksDB, which is listed in 6 company stacks and 7 developer stacks.

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Advice on RethinkDB, RocksDB

Feb 9, 2022

Needs adviceon

Milvus

HBase

RocksDB

I am researching different querying solutions to handle ~1 trillion records of data (in the realm of a petabyte). The data is mostly textual. I have identified a few options: Milvus, HBase, RocksDB, and Elasticsearch. I was wondering if there is a good way to compare the performance of these options (or if anyone has already done something like this). I want to be able to compare the speed of ingesting and querying textual data from these tools. Does anyone have information on this or know where I can find some? Thanks in advance!

174k views174k

Comments

Feb 24, 2022

Decided

I’m newbie I was developing a pouchdb and couchdb app cause if the sync. Lots of learning very little code available. I dropped the project cause it consumed my life. Yeats later I’m back into it. I researched other db and came across rethinkdb and mongo for the subscription features. With socketio I should be able to create and similar sync feature. Attempted to use mongo. I attempted to use rethink. Rethink for the win. Super clear l. I had it running in minutes on my local machine and I believe it’s supposed to scale easy. Mongo wasn’t as easy and there free online db is so slow what’s the point. Very easy to find mongo code examples and use rethink code in its place. I wish I went this route years ago. All that corporate google Amazon crap get bent. The reason they have so much power in the world is cause you guys are giving it to them.

79.7k views79.7k

Comments

Detailed Comparison

RethinkDB	RocksDB
RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.	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.
JSON data model and immediate consistency.;Distributed joins, subqueries, aggregation, atomic updates.;Secondary, compound, and arbitrarily computed indexes.;Hadoop-style map/reduce.;Friendly web and command-line administration tools.;Takes care of machine failures and network interrupts.;Multi-datacenter replication and failover.;Sharding and replication to multiple nodes.;Queries are automatically parallelized and distributed.;Lock-free operation via MVCC concurrency.	Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM;Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory;Scales linearly with number of CPUs so that it works well on ARM processors
Statistics
GitHub Stars 27.0K	GitHub Stars 30.9K
GitHub Forks 1.9K	GitHub Forks 6.6K
Stacks 292	Stacks 141
Followers 406	Followers 290
Votes 307	Votes 11
Pros & Cons
Pros 48 Powerful query language 46 Excellent dashboard 42 JSON 41 Distributed database 38 Open source	Pros 5 Very fast 3 Made by Facebook 2 Consistent performance 1 Ability to add logic to the database layer where needed
Integrations
Amazon EC2	No integrations available

What are some alternatives to RethinkDB, RocksDB?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

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.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

Related Comparisons

Some of the features offered by RethinkDB are:

JSON data model and immediate consistency.
Distributed joins, subqueries, aggregation, atomic updates.
Secondary, compound, and arbitrarily computed indexes.

On the other hand, RocksDB provides the following key features:

Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM
Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory
Scales linearly with number of CPUs so that it works well on ARM processors

"Powerful query language" is the top reason why over 46 developers like RethinkDB, while over 2 developers mention "Very fast" as the leading cause for choosing RocksDB.

RethinkDB vs RocksDB