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DBMS > Apache Druid vs. Hawkular Metrics vs. InterSystems Caché vs. jBASE vs. Oracle Rdb

System Properties Comparison Apache Druid vs. Hawkular Metrics vs. InterSystems Caché vs. jBASE vs. Oracle Rdb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonjBASE  Xexclude from comparisonOracle Rdb  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 dataHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A multi-model DBMS and application serverA robust multi-value DBMS comprising development tools and middleware
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Multivalue DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Websitedruid.apache.orgwww.hawkular.orgwww.intersystems.com/­products/­cachewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdruid.apache.org/­docs/­latest/­designwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.intersystems.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperApache Software Foundation and contributorsCommunity supported by Red HatInterSystemsRocket Software (formerly Zumasys)Oracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20122014199719911984
Current release30.0.0, June 20242018.1.4, May 20205.77.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercialcommercialcommercial
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 languageJavaJava
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
Linux
Windows
HP Open VMS
Data schemeyes infoschema-less columns are supportedschema-freedepending on used data modelschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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.nonoyesyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL for queryingnoyesEmbedded SQL for jBASE in BASICyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP REST.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
Ruby
C#
C++
Java
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnonoyesyes
Triggersnoyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on CassandraSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users, groups and rolesAccess rights can be defined down to the item level

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More resources
Apache DruidHawkular MetricsInterSystems CachéjBASEOracle Rdb
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