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DBMS > Databricks vs. Percona Server for MySQL vs. Postgres-XL vs. STSdb vs. Tkrzw

System Properties Comparison Databricks vs. Percona Server for MySQL vs. Postgres-XL vs. STSdb vs. Tkrzw

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSTSdb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSKey-value storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.databricks.comwww.percona.com/­software/­mysql-database/­percona-serverwww.postgres-xl.orggithub.com/­STSSoft/­STSdb4dbmx.net/­tkrzw
Technical documentationdocs.databricks.comwww.percona.com/­downloads/­Percona-Server-LATESTwww.postgres-xl.org/­documentation
DeveloperDatabricksPerconaSTS Soft SCMikio Hirabayashi
Initial release201320082014 infosince 2012, originally named StormDB20112020
Current release8.0.36-28, 202410 R1, October 20184.0.8, September 20150.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoMozilla public licenseOpen Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC#C++
Server operating systemshostedLinuxLinux
macOS
WindowsLinux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)no
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.yesyesyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesyes infodistributed, parallel query executionnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
Supported programming languagesPython
R
Scala
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functionsnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
XtraDB Cluster
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnoyes infousing specific database classes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardnono
More information provided by the system vendor
DatabricksPercona Server for MySQLPostgres-XLSTSdbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksPercona Server for MySQLPostgres-XLSTSdbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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