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DBMS > Graph Engine vs. Oracle Berkeley DB vs. Rockset vs. TerarkDB

System Properties Comparison Graph Engine vs. Oracle Berkeley DB vs. Rockset vs. TerarkDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRockset  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWidely used in-process key-value storeA scalable, reliable search and analytics service in the cloud, built on RocksDBA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMS
Key-value store
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeKey-value store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.graphengine.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrockset.comgithub.com/­bytedance/­terarkdb
Technical documentationwww.graphengine.io/­docs/­manualdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.rockset.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleRocksetByteDance, originally Terark
Initial release2010199420192016
Current release18.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infocommercial license availablecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC, Java, C++ (depending on the Berkeley DB edition)C++C++
Server operating systems.NETAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hosted
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnodynamic typingno
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.noyes infoonly with the Berkeley DB XML editionno infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexedno
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableRead-only SQL queries, including JOINsno
APIs and other access methodsRESTful HTTP APIHTTP RESTC++ API
Java API
Supported programming languagesC#
C++
F#
Visual Basic
.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
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyesnonono
Triggersnoyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
Graph Engine infoformer name: TrinityOracle Berkeley DBRocksetTerarkDB
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