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DBMS > Apache Druid vs. IBM Db2 Event Store vs. JanusGraph vs. Percona Server for MongoDB vs. XTDB

System Properties Comparison Apache Druid vs. IBM Db2 Event Store vs. JanusGraph vs. Percona Server for MongoDB vs. XTDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed Event Store optimized for Internet of Things use casesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A drop-in replacement for MongoDB Community Edition with enterprise-grade features.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMS
Time Series DBMS
Event Store
Time Series DBMS
Graph DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitedruid.apache.orgwww.ibm.com/­products/­db2-event-storejanusgraph.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.ibm.com/­docs/­en/­db2-event-storedocs.janusgraph.orgdocs.percona.com/­percona-distribution-for-mongodbwww.xtdb.com/­docs
DeveloperApache Software Foundation and contributorsIBMLinux Foundation; originally developed as Titan by AureliusPerconaJuxt Ltd.
Initial release20122017201720152019
Current release29.0.1, April 20242.00.6.3, February 20233.4.10-2.10, November 20171.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoGPL Version 2Open Source infoMIT License
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++Clojure
Server operating systemsLinux
OS X
Unix
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Unix
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyes infoschema-less columns are supportedyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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.nonononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL for queryingyes infothrough the embedded Spark runtimenonolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
proprietary protocol using JSONHTTP REST
JDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Clojure
Java
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
Clojure
Java
Server-side scripts infoStored proceduresnoyesyesJavaScriptno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesActive-active shard replicationyesSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
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 storageyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engine
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerAccess rights for users and roles

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More resources
Apache DruidIBM Db2 Event StoreJanusGraph infosuccessor of TitanPercona Server for MongoDBXTDB infoformerly named Crux
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