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DBMS > Ingres vs. jBASE vs. Quasardb vs. Splice Machine vs. TimesTen

System Properties Comparison Ingres vs. jBASE vs. Quasardb vs. Splice Machine vs. TimesTen

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonjBASE  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionWell established RDBMSA robust multi-value DBMS comprising development tools and middlewareDistributed, high-performance timeseries databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSMultivalue DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.actian.com/­databases/­ingreswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasequasar.aisplicemachine.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.actian.com/­ingresdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9doc.quasar.ai/­mastersplicemachine.com/­how-it-worksdocs.oracle.com/­database/­timesten-18.1
DeveloperActian CorporationRocket Software (formerly Zumasys)quasardbSplice MachineOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release1974 infooriginally developed at University Berkely in early 1970s1991200920141998
Current release11.2, May 20225.73.14.1, January 20243.1, March 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Java
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Linux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalyes infointeger and binaryyesyes
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.no infobut tools for importing/exporting data from/to XML-files availableyesnono
Secondary indexesyesyes infowith tagsyesyes
SQL infoSupport of SQLyesEmbedded SQL for jBASE in BASICSQL-like query languageyesyes
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP APIJDBC
Native Spark Datasource
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Basic
Jabbascript
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyesnoyes infoJavaPL/SQL
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatoryesSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
IngresjBASEQuasardbSplice MachineTimesTen
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