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DBMS > Ingres vs. Oracle NoSQL vs. Spark SQL vs. Tkrzw

System Properties Comparison Ingres vs. Oracle NoSQL vs. Spark SQL vs. Tkrzw

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Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionWell established RDBMSA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSpark SQL is a component on top of 'Spark Core' for structured data processingA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.actian.com/­databases/­ingreswww.oracle.com/­database/­nosql/­technologies/­nosqlspark.apache.org/­sqldbmx.net/­tkrzw
Technical documentationdocs.actian.com/­ingresdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperActian CorporationOracleApache Software FoundationMikio Hirabayashi
Initial release1974 infooriginally developed at University Berkely in early 1970s201120142020
Current release11.2, May 202223.3, December 20233.5.0 ( 2.13), September 20230.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaScalaC++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Solaris SPARC/x86
Linux
OS X
Windows
Linux
macOS
Data schemeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesno
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 availablenonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC
C#
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cachenoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnono

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IngresOracle NoSQLSpark SQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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