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

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

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonIngres  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSqrrl  Xexclude from comparisonTransbase  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudWell established RDBMSWidely used in-process key-value storeAdaptable, secure NoSQL built on Apache AccumuloA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelSearch engineRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Graph DBMS
Key-value store
Wide column store
Relational 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
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.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsqrrl.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.actian.com/­ingresdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAmazonActian CorporationOracle infooriginally developed by Sleepycat, which was acquired by OracleAmazon infooriginally Sqrrl Data, Inc.Transaction Software GmbH
Initial release20121974 infooriginally developed at University Berkely in early 1970s199420121987
Current release11.2, May 202218.1.40, May 2020Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availablecommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, Java, C++ (depending on the Berkeley DB edition)JavaC and C++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 availableyes infoonly with the Berkeley DB XML editionno
Secondary indexesyes infoall search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLnoyesyes infoSQL interfaced based on SQLite is availablenoyes
APIs and other access methodsHTTP API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyesnonoyes
Triggersnoyesyes infoonly for the SQL APInoyes
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 simultaneouslynoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSIngres ReplicatorSource-replica replicationselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic updates per row, document, or graph entityyes
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.noyesno
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchIngresOracle Berkeley DBSqrrlTransbase
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