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DBMS > Oracle Berkeley DB vs. SiriDB vs. Spark SQL vs. SWC-DB vs. YDB

System Properties Comparison Oracle Berkeley DB vs. SiriDB vs. Spark SQL vs. SWC-DB vs. YDB

Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonSiriDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionWidely used in-process key-value storeOpen Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA high performance, scalable Wide Column DBMSA 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
Time Series DBMSRelational DBMSWide column storeDocument store
Relational DBMS
Secondary database modelsTime Series DBMS
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
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsiridb.comspark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleCesbitApache Software FoundationAlex KashirinYandex
Initial release19942017201420202019
Current release18.1.40, May 20203.5.0 ( 2.13), September 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infocommercial license availableOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoGPL V3Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
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)CScalaC++
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
LinuxLinux
OS X
Windows
LinuxLinux
Data schemeschema-freeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyes infoNumeric datayesyes
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 editionnononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availablenoSQL-like DML and DDL statementsSQL-like query languageSQL-like query language (YQL)
APIs and other access methodsHTTP APIJDBC
ODBC
Proprietary protocol
Thrift
RESTful 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
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
C++Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonononono
Triggersyes infoonly for the SQL APInonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.yesyesnonono
User concepts infoAccess controlnosimple rights management via user accountsnoAccess rights defined for Yandex Cloud users

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More resources
Oracle Berkeley DBSiriDBSpark SQLSWC-DB infoSuper Wide Column DatabaseYDB
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