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DBMS > Apache Phoenix vs. Hive vs. IBM Db2 Event Store vs. LMDB vs. Percona Server for MongoDB

System Properties Comparison Apache Phoenix vs. Hive vs. IBM Db2 Event Store vs. LMDB vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHive  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLMDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBasedata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Event Store optimized for Internet of Things use casesA high performant, light-weight, embedded key-value database libraryA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Key-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Websitephoenix.apache.orghive.apache.orgwww.ibm.com/­products/­db2-event-storewww.symas.com/­symas-embedded-database-lmdbwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationphoenix.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homewww.ibm.com/­docs/­en/­db2-event-storewww.lmdb.tech/­docdocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software FoundationApache Software Foundation infoinitially developed by FacebookIBMSymasPercona
Initial release20142012201720112015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1.3, April 20222.00.9.32, January 20243.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infofree developer edition availableOpen SourceOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++CC++
Server operating systemsLinux
Unix
Windows
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinux
Unix
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimenono
APIs and other access methodsJDBCJDBC
ODBC
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
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
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceyesnoJavaScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorActive-active shard replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infovia In-Memory Engine
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and rolesfine grained access rights according to SQL-standardnoAccess rights for users and roles

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More resources
Apache PhoenixHiveIBM Db2 Event StoreLMDBPercona Server for MongoDB
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