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DBMS > Oracle Berkeley DB vs. Pinecone vs. Postgres-XL

System Properties Comparison Oracle Berkeley DB vs. Pinecone vs. Postgres-XL

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonPinecone  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionWidely used in-process key-value storeA managed, cloud-native vector databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Vector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#121  Overall
#20  Key-value stores
#3  Native XML DBMS
Score3.09
Rank#84  Overall
#4  Vector DBMS
Score0.41
Rank#261  Overall
#122  Relational DBMS
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.pinecone.iowww.postgres-xl.org
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.pinecone.io/­docs/­overviewwww.postgres-xl.org/­documentation
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OraclePinecone Systems, Inc
Initial release199420192014 infosince 2012, originally named StormDB
Current release18.1.40, May 202010 R1, October 2018
License infoCommercial or Open SourceOpen Source infocommercial license availablecommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hostedLinux
macOS
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoString, Number, Booleanyes
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.yes infoonly with the Berkeley DB XML editionnoyes infoXML type, but no XML query functionality
Secondary indexesyesyes
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availablenoyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
Python.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions
Triggersyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCC
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.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
Oracle Berkeley DBPineconePostgres-XL
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