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DBMS > Amazon CloudSearch vs. EXASOL vs. Oracle Berkeley DB

System Properties Comparison Amazon CloudSearch vs. EXASOL vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEXASOL  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Widely used in-process key-value store
Primary database modelSearch engineRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­cloudsearchwww.exasol.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.exasol.com/­resourcesdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonExasolOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201220001994
Current release18.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyes infoonly with the Berkeley DB XML edition
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP API.Net
JDBC
ODBC
WebSocket
Supported programming languagesJava
Lua
Python
R
.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
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users, groups and roles according to SQL-standardno

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More resources
Amazon CloudSearchEXASOLOracle Berkeley DB
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