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DBMS > Oracle Berkeley DB vs. PostgreSQL vs. SiteWhere vs. YDB

System Properties Comparison Oracle Berkeley DB vs. PostgreSQL vs. SiteWhere vs. YDB

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSiteWhere  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionWidely used in-process key-value storeWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLM2M integration platform for persisting/querying time series dataA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.postgresql.orggithub.com/­sitewhere/­sitewheregithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.postgresql.org/­docssitewhere1.sitewhere.io/­index.htmlydb.tech/­en/­docs
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OraclePostgreSQL Global Development Group infowww.postgresql.org/­developerSiteWhereYandex
Initial release19941989 info1989: Postgres, 1996: PostgreSQL20102019
Current release18.1.40, May 202016.3, May 2024
License infoCommercial or Open SourceOpen Source infocommercial license availableOpen Source infoBSDOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)CJava
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeyespredefined schemeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyesyes
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 editionyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availableyes infostandard with numerous extensionsnoSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTRESTful HTTP API (DynamoDB compatible)
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and (since PostgreSQL 11) by hashSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infobased on HBaseActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess rights defined for Yandex Cloud users

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