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DBMS > Altibase vs. Amazon CloudSearch vs. Atos Standard Common Repository vs. Drizzle vs. Oracle Berkeley DB

System Properties Comparison Altibase vs. Amazon CloudSearch vs. Atos Standard Common Repository vs. Drizzle vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn enterprise grade, high-performance RDBMSA hosted search engine service by Amazon with the data stored in Amazons cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Widely used in-process key-value store
Primary database modelRelational DBMSSearch engineDocument store
Key-value store
Relational 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
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitealtibase.comaws.amazon.com/­cloudsearchatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.aws.amazon.com/­cloudsearchdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAltibaseAmazonAtos Convergence CreatorsDrizzle project, originally started by Brian AkerOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release19992012201620081994
Current releasev7.3, 2023, August 202317037.2.4, September 201218.1.40, May 2020
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercialOpen Source infoGNU GPLOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAIX
HP-UX
Linux
hostedLinuxFreeBSD
Linux
OS X
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyesno
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.noyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLANSI SQL-92nonoyes infowith proprietary extensionsyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
ODBC
Proprietary protocol
HTTP APILDAPJDBC
Supported programming languagesC
C++
Java
All languages with LDAP bindingsC
C++
Java
PHP
.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 proceduresstored procedures and stored functionsnononono
Triggersyesnoyesno infohooks for callbacks inside the server can be used.yes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infomanaged transparently by AWSyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
AltibaseAmazon CloudSearchAtos Standard Common RepositoryDrizzleOracle Berkeley DB
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