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DBMS > Hive vs. IBM Db2 Event Store vs. Kyligence Enterprise vs. Percona Server for MongoDB vs. TerarkDB

System Properties Comparison Hive vs. IBM Db2 Event Store vs. Kyligence Enterprise vs. Percona Server for MongoDB vs. TerarkDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Event Store optimized for Internet of Things use casesA distributed analytics engine for big data, built on top of Apache KylinA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehive.apache.orgwww.ibm.com/­products/­db2-event-storekyligence.io/­kyligence-enterprisewww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­bytedance/­terarkdb
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.ibm.com/­docs/­en/­db2-event-storedocs.percona.com/­percona-distribution-for-mongodbbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoinitially developed by FacebookIBMKyligence, Inc.PerconaByteDance, originally Terark
Initial release20122017201620152016
Current release3.1.3, April 20222.03.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availablecommercialOpen Source infoGPL Version 2commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaC++C++
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinuxLinux
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimeANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONC++ API
Java API
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
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
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesJavaScriptno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users and rolesno

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More resources
HiveIBM Db2 Event StoreKyligence EnterprisePercona Server for MongoDBTerarkDB
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