DBMS > MySQL vs. RocksDB vs. SpatiaLite vs. Transwarp Hippo

System Properties Comparison MySQL vs. RocksDB vs. SpatiaLite vs. Transwarp Hippo

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Editorial information provided by DB-Engines

Name

Description

Widely used open source RDBMS

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Spatial extension of SQLite

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

Primary database model

Relational DBMS

Key/Value like access via memcached API

Key-value store

Spatial DBMS

Vector DBMS

Secondary database models

Document store
Spatial DBMS

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1083.74
Rank	#2	Overall
	#2	Relational DBMS

Score	3.65
Rank	#85	Overall
	#11	Key-value stores

Score	1.60
Rank	#149	Overall
	#3	Spatial DBMS

Score	0.00
Rank	#383	Overall
	#13	Vector DBMS

Website

www.mysql.com

rocksdb.org

www.gaia-gis.it/fossil/libspatialite/index

www.transwarp.cn/en/subproduct/hippo

Technical documentation

dev.mysql.com/doc

github.com/facebook/rocksdb/wiki

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Oracle

since 2010, originally MySQL AB, then Sun

Facebook, Inc.

Alessandro Furieri

Initial release

1995

2013

2008

2023

Current release

8.4.0, April 2024

8.11.4, April 2024

5.0.0, August 2020

1.0, May 2023

License

Commercial or Open Source

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

Open Source

BSD

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C and C++

C++

Server operating systems

FreeBSD
Linux
OS X
Solaris
Windows

Linux

server-less

Linux
macOS

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

Vector, Numeric and String

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

yes

APIs and other access methods

ADO.NET
JDBC
ODBC
Proprietary native API

C++ API
Java API

RESTful HTTP API

Supported programming languages

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

C
C++
Go
Java
Perl
Python
Ruby

C++
Java
Python

Server-side scripts

Stored procedures

yes

proprietary syntax

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

horizontal partitioning

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

not for MyISAM storage engine

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Users with fine-grained authorization concept

no user groups or roles

Role based access control and fine grained access rights

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