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DBMS > Apache Druid vs. Badger vs. IBM Db2 Event Store vs. MonetDB vs. Rockset

System Properties Comparison Apache Druid vs. Badger vs. IBM Db2 Event Store vs. MonetDB vs. Rockset

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBadger  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMonetDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed Event Store optimized for Internet of Things use casesA relational database management system that stores data in columnsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeEvent Store
Time Series DBMS
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitedruid.apache.orggithub.com/­dgraph-io/­badgerwww.ibm.com/­products/­db2-event-storewww.monetdb.orgrockset.com
Technical documentationdruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgerwww.ibm.com/­docs/­en/­db2-event-storewww.monetdb.org/­Documentationdocs.rockset.com
DeveloperApache Software Foundation and contributorsDGraph LabsIBMMonetDB BVRockset
Initial release20122017201720042019
Current release29.0.1, April 20242.0Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercial infofree developer edition availableOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC and C++CC++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
OS X
Solaris
Windows
hosted
Data schemeyes infoschema-less columns are supportedschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesnonoyesall fields are automatically indexed
SQL infoSupport of SQLSQL for queryingnoyes infothrough the embedded Spark runtimeyes infoSQL 2003 with some extensionsRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
GoC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesyes, in SQL, C, Rno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingSharding via remote tablesAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneActive-active shard replicationnone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
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.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache DruidBadgerIBM Db2 Event StoreMonetDBRockset
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