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DBMS > Apache Druid vs. Ehcache vs. IBM Db2 Event Store vs. IBM Db2 warehouse

System Properties Comparison Apache Druid vs. Ehcache vs. IBM Db2 Event Store vs. IBM Db2 warehouse

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEhcache  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA widely adopted Java cache with tiered storage optionsDistributed Event Store optimized for Internet of Things use casesCloud-based data warehousing service
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeEvent Store
Time Series DBMS
Relational DBMS
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
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Websitedruid.apache.orgwww.ehcache.orgwww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­db2/­warehouse
Technical documentationdruid.apache.org/­docs/­latest/­designwww.ehcache.org/­documentationwww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software Foundation and contributorsTerracotta Inc, owned by Software AGIBMIBM
Initial release2012200920172014
Current release29.0.1, April 20243.10.0, March 20222.0
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionhosted
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
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 infoImport/export of XML data possible
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL for queryingnoyes infothrough the embedded Spark runtimeyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JCacheADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesPL/SQL, SQL PL
Triggersnoyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoby using Terracotta ServerActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachYes - 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.noyesyesyes
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-standard

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More resources
Apache DruidEhcacheIBM Db2 Event StoreIBM Db2 warehouse infoformerly named IBM dashDB
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