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

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

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBadger  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMemcached  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 casesIn-memory key-value store, originally intended for cachingA 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
Key-value storeDocument store
Secondary database modelsRelational 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
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.79
Rank#211  Overall
#35  Document stores
Websitedruid.apache.orggithub.com/­dgraph-io/­badgerwww.ibm.com/­products/­db2-event-storewww.memcached.orgrockset.com
Technical documentationdruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgerwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­memcached/­memcached/­wikidocs.rockset.com
DeveloperApache Software Foundation and contributorsDGraph LabsIBMDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRockset
Initial release20122017201720032019
Current release29.0.1, April 20242.01.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercial infofree developer edition availableOpen Source infoBSD licensecommercial
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
Unix
Windows
hosted
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnodynamic 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 indexesyesnononoall fields are automatically indexed
SQL infoSupport of SQLSQL for queryingnoyes infothrough the embedded Spark runtimenoRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Proprietary protocolHTTP 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
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneActive-active shard replicationnone infoRepcached, a Memcached patch, provides this functionallityyes
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 integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
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 storagenoyes
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-standardyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache DruidBadgerIBM Db2 Event StoreMemcachedRockset
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