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DBMS > Apache Druid vs. HarperDB vs. InterSystems Caché vs. Oracle Rdb vs. OrigoDB

System Properties Comparison Apache Druid vs. HarperDB vs. InterSystems Caché vs. Oracle Rdb vs. OrigoDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHarperDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonOracle Rdb  Xexclude from comparisonOrigoDB  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 dataHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.A multi-model DBMS and application serverA fully ACID in-memory object graph database
Primary database modelRelational DBMS
Time Series DBMS
Document storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument store
Object oriented 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
Score0.55
Rank#243  Overall
#38  Document stores
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websitedruid.apache.orgwww.harperdb.iowww.intersystems.com/­products/­cachewww.oracle.com/­database/­technologies/­related/­rdb.htmlorigodb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docsdocs.intersystems.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlorigodb.com/­docs
DeveloperApache Software Foundation and contributorsHarperDBInterSystemsOracle, originally developed by Digital Equipment Corporation (DEC)Robert Friberg et al
Initial release20122017199719842009 infounder the name LiveDB
Current release30.0.0, June 20243.1, August 20212018.1.4, May 20207.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree community edition availablecommercialcommercialOpen Source
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 languageJavaNode.jsC#
Server operating systemsLinux
OS X
Unix
Linux
OS X
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
HP Open VMSLinux
Windows
Data schemeyes infoschema-less columns are supporteddynamic schemadepending on used data modelFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesUser defined using .NET types and collections
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.nonoyesnono infocan be achieved using .NET
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like data manipulation statementsyesyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
.NET Client API
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Java
.Net
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yesyes
Triggersnonoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedA table resides as a whole on one (or more) nodes in a clusternonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infothe nodes on which a table resides can be definedSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesAccess rights for users, groups and rolesRole based authorization

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More resources
Apache DruidHarperDBInterSystems CachéOracle RdbOrigoDB
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