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DBMS > JaguarDB vs. MySQL vs. Postgres-XL vs. RavenDB

System Properties Comparison JaguarDB vs. MySQL vs. Postgres-XL vs. RavenDB

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonMySQL  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsWidely used open source RDBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value store
Vector DBMS
Relational DBMS infoKey/Value like access via memcached APIRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.jaguardb.comwww.mysql.comwww.postgres-xl.orgravendb.net
Technical documentationwww.jaguardb.com/­support.htmldev.mysql.com/­docwww.postgres-xl.org/­documentationravendb.net/­docs
DeveloperDataJaguar, Inc.Oracle infosince 2010, originally MySQL AB, then SunHibernating Rhinos
Initial release201519952014 infosince 2012, originally named StormDB2010
Current release3.3 July 20238.4.0, April 202410 R1, October 20185.4, July 2022
License infoCommercial or Open SourceOpen Source infoGPL V3.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoMozilla public licenseOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC++ infothe server part. Clients available in other languagesC and C++CC#
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infowith proprietary extensionsyes infodistributed, parallel query executionSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxuser defined functionsyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineACID infoMVCCACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlrights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
JaguarDBMySQLPostgres-XLRavenDB
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