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DBMS > Apache Druid vs. Apache Impala vs. Ehcache vs. InterSystems Caché vs. Stardog

System Properties Comparison Apache Druid vs. Apache Impala vs. Ehcache vs. InterSystems Caché vs. Stardog

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Impala  Xexclude from comparisonEhcache  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonStardog  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for HadoopA widely adopted Java cache with tiered storage optionsA multi-model DBMS and application serverEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Graph DBMS
RDF store
Secondary database modelsDocument 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
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitedruid.apache.orgimpala.apache.orgwww.ehcache.orgwww.intersystems.com/­products/­cachewww.stardog.com
Technical documentationdruid.apache.org/­docs/­latest/­designimpala.apache.org/­impala-docs.htmlwww.ehcache.org/­documentationdocs.intersystems.comdocs.stardog.com
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by ClouderaTerracotta Inc, owned by Software AGInterSystemsStardog-Union
Initial release20122013200919972010
Current release29.0.1, April 20244.1.0, June 20223.10.0, March 20222018.1.4, May 20207.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2Open Source infoApache Version 2; commercial licenses availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaJava
Server operating systemsLinux
OS X
Unix
LinuxAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freedepending on used data modelschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno infoImport/export of XML data possible
Secondary indexesyesyesnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsnoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
JCache.NET Client API
JDBC
ODBC
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBCJavaC#
C++
Java
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyes infoCache Event Listenersyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoby using Terracotta Servernonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factoryes infoby using Terracotta ServerSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infosupports JTA and can work as an XA resourceACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users, groups and rolesAccess rights for users and roles

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More resources
Apache DruidApache ImpalaEhcacheInterSystems CachéStardog
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