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DBMS > Oracle Berkeley DB vs. RethinkDB vs. Spark SQL vs. TigerGraph

System Properties Comparison Oracle Berkeley DB vs. RethinkDB vs. Spark SQL vs. TigerGraph

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonRethinkDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionWidely used in-process key-value storeDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.84
Rank#106  Overall
#19  Document stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrethinkdb.comspark.apache.org/­sqlwww.tigergraph.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.com
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleThe Linux Foundation infosince July 2017Apache Software Foundation
Initial release1994200920142017
Current release18.1.40, May 20202.4.1, August 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infocommercial license availableOpen Source infoApache Version 2Open Source infoApache 2.0commercial
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)C++ScalaC++
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infostring, binary, float, bool, date, geometryyesyes
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 editionnonono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availablenoSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
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 infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnonoyes
Triggersyes infoonly for the SQL APIClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding inforange basedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCC basedyesyes
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 controlnoyes infousers and table-level permissionsnoRole-based access control

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Oracle Berkeley DBRethinkDBSpark SQLTigerGraph
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