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DBMS > Amazon CloudSearch vs. Ingres vs. Kinetica vs. Oracle Berkeley DB vs. Transbase

System Properties Comparison Amazon CloudSearch vs. Ingres vs. Kinetica vs. Oracle Berkeley DB vs. Transbase

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonIngres  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudWell established RDBMSFully vectorized database across both GPUs and CPUsWidely used in-process key-value storeA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelSearch engineRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.actian.com/­databases/­ingreswww.kinetica.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.actian.com/­ingresdocs.kinetica.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAmazonActian CorporationKineticaOracle infooriginally developed by Sleepycat, which was acquired by OracleTransaction Software GmbH
Initial release20121974 infooriginally developed at University Berkely in early 1970s201219941987
Current release11.2, May 20227.1, August 202118.1.40, May 2020Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++C, Java, C++ (depending on the Berkeley DB edition)C and C++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 availablenoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyes infoall search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsHTTP API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsnoyes
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSIngres ReplicatorSource-replica replicationSource-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 Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
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.noyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchIngresKineticaOracle Berkeley DBTransbase
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