DB-EnginesExtremeDB white paper: shared data in asymmetric multiprocessing (AMP) configurationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > InfinityDB vs. MySQL vs. RocksDB

System Properties Comparison InfinityDB vs. MySQL vs. RocksDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonMySQL  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceWidely used open source RDBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeRelational DBMS infoKey/Value like access via memcached APIKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#382  Overall
#59  Key-value stores
Score1106.67
Rank#2  Overall
#2  Relational DBMS
Score4.52
Rank#83  Overall
#10  Key-value stores
Websiteboilerbay.comwww.mysql.comrocksdb.org
Technical documentationboilerbay.com/­infinitydb/­manualdev.mysql.com/­docgithub.com/­facebook/­rocksdb/­wiki
DeveloperBoiler Bay Inc.Oracle infosince 2010, originally MySQL AB, then SunFacebook, Inc.
Initial release200219952013
Current release4.08.3.0, January 20248.10.0, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
  • PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
Implementation languageJavaC and C++C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesno infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsno
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
Proprietary native API
C++ API
Java API
Supported programming languagesJavaAda
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
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilityyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infonot for MyISAM storage engineyes
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
» more

Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» more

PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
Get started with a PlanetScale database today for free.
» more

Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
» more
Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
InfinityDBMySQLRocksDB
DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

show all

Recent citations in the news

Amazon RDS for MySQL supports new minor version 8.0.36
12 February 2024, AWS Blog

.NET Aspire Preview 3: Expanded Component Support with Azure OpenAI, MySQL, CosmosDB, Kafka and More
19 February 2024, InfoQ.com

General Availability: Azure MySQL Import feature for Azure Database for MySQL Single to Flexible Server migrations ...
17 January 2024, Microsoft

Oracle introduces JavaScript support in MySQL
3 January 2024, InfoWorld

Oracle Introduces MySQL HeatWave Lakehouse, Outperforming Databricks, Snowflake & BigQuery
21 July 2023, Forbes

provided by Google News

Intel Linux Optimizations Help AMD EPYC "Genoa" Improve Scaling To 384 Threads
6 April 2023, Phoronix

Pliops Unveils Accelerated Key-Value Store That Boosts RocksDB Performance by 20x at OCP Global Summit
18 October 2022, GlobeNewswire

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Meta’s Velox Means Database Performance Is Not Subject To Interpretation
31 August 2022, The Next Platform

Power your Kafka Streams application with Amazon MSK and AWS Fargate | Amazon Web Services
10 August 2021, AWS Blog

provided by Google News



Share this page

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

The open source vector database for GenAI.
Try Managed Milvus Free

Present your product here