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DBMS > Elasticsearch vs. mSQL vs. Percona Server for MySQL vs. Spark SQL vs. TimescaleDB

System Properties Comparison Elasticsearch vs. mSQL vs. Percona Server for MySQL vs. Spark SQL vs. TimescaleDB

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricmSQL (Mini SQL) is a simple and lightweight RDBMSEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Spark SQL is a component on top of 'Spark Core' for structured data processingA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.elastic.co/­elasticsearchhughestech.com.au/­products/­msqlwww.percona.com/­software/­mysql-database/­percona-serverspark.apache.org/­sqlwww.timescale.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.percona.com/­downloads/­Percona-Server-LATESTspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.timescale.com
DeveloperElasticHughes TechnologiesPerconaApache Software FoundationTimescale
Initial release20101994200820142017
Current release8.6, January 20234.4, October 20218.0.36-28, 20243.5.0 ( 2.13), September 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercial infofree licenses can be providedOpen Source infoGPL version 2Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC and C++ScalaC
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyesnoyes
Secondary indexesyes infoAll search fields are automatically indexedyesyesnoyes
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesSQL-like DML and DDL statementsyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoyesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infoby using the 'percolation' featurenoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark Coreyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
XtraDB Cluster
noneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyesnono
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesnofine grained access rights according to SQL-standard

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More resources
ElasticsearchmSQL infoMini SQLPercona Server for MySQLSpark SQLTimescaleDB
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