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DBMS > Altibase vs. Apache Druid vs. InterSystems IRIS vs. OrigoDB vs. Spark SQL

System Properties Comparison Altibase vs. Apache Druid vs. InterSystems IRIS vs. OrigoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Druid  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitealtibase.comdruid.apache.orgwww.intersystems.com/­products/­intersystems-irisorigodb.comspark.apache.org/­sql
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdruid.apache.org/­docs/­latest/­designdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAltibaseApache Software Foundation and contributorsInterSystemsRobert Friberg et alApache Software Foundation
Initial release1999201220182009 infounder the name LiveDB2014
Current releasev7.3, 2023, August 202329.0.1, April 20242023.3, June 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache license v2commercialOpen SourceOpen Source infoApache 2.0
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 languageC++JavaC#Scala
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Unix
AIX
Linux
macOS
Ubuntu
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyes infoschema-less columns are supporteddepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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.nonoyesno infocan be achieved using .NETno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLANSI SQL-92SQL for queryingyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesC
C++
Java
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyesyesno
Triggersyesnoyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesRole based authorizationno
More information provided by the system vendor
AltibaseApache DruidInterSystems IRISOrigoDBSpark SQL
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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AltibaseApache DruidInterSystems IRISOrigoDBSpark SQL
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