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DBMS > EsgynDB vs. Microsoft Azure AI Search vs. Percona Server for MongoDB vs. Spark SQL vs. Tibero

System Properties Comparison EsgynDB vs. Microsoft Azure AI Search vs. Percona Server for MongoDB vs. Spark SQL vs. Tibero

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSearch-as-a-service for web and mobile app developmentA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Spark SQL is a component on top of 'Spark Core' for structured data processingA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSSearch engineDocument storeRelational DBMSRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.52
Rank#254  Overall
#39  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitewww.esgyn.cnazure.microsoft.com/­en-us/­services/­searchwww.percona.com/­mongodb/­software/­percona-server-for-mongodbspark.apache.org/­sqlus.tmaxsoft.com/­products/­tibero
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.percona.com/­percona-distribution-for-mongodbspark.apache.org/­docs/­latest/­sql-programming-guide.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperEsgynMicrosoftPerconaApache Software FoundationTmaxSoft
Initial release20152015201520142003
Current releaseV13.4.10-2.10, November 20173.5.0 ( 2.13), September 20236, April 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL Version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++ScalaC and Assembler
Server operating systemsLinuxhostedLinuxLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIproprietary protocol using JSONJDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Java
Python
R
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresJava Stored ProceduresnoJavaScriptnoPersistent Stored Procedure (PSM)
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark Corehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
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.nonoyes infovia In-Memory Enginenono infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationAccess rights for users and rolesnofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
EsgynDBMicrosoft Azure AI SearchPercona Server for MongoDBSpark SQLTibero
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