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

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

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDgraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed and scalable native Graph DBMSDistributed Event Store optimized for Internet of Things use casesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMSEvent Store
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.63
Rank#114  Overall
#58  Relational DBMS
#6  Time Series DBMS
Score1.48
Rank#152  Overall
#12  Graph DBMS
Score0.39
Rank#262  Overall
#2  Event Stores
#21  Time Series DBMS
Score0.77
Rank#209  Overall
#33  Document stores
Websitedruid.apache.orgdgraph.iowww.ibm.com/­products/­db2-event-storewww.percona.com/­software/­mongodb/­percona-server-for-mongodb
Technical documentationdruid.apache.org/­docs/­latest/­designdgraph.io/­docswww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmlwww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.html
DeveloperApache Software Foundation and contributorsDgraph Labs, Inc.IBMPercona
Initial release2012201620172015
Current release24.0.0, September 20222.03.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercial infofree developer edition availableOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC and C++C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-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 indexesyesyesnoyes
SQL infoSupport of SQLSQL for queryingnoyes infothrough the embedded Spark runtimeno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
Server-side scripts infoStored proceduresnonoyesJavaScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSynchronous replication via RaftActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
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 systemno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Apache DruidDgraphIBM Db2 Event StorePercona Server for MongoDB
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