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DBMS > Brytlyt vs. Oracle Berkeley DB vs. OrientDB vs. Splice Machine

System Properties Comparison Brytlyt vs. Oracle Berkeley DB vs. OrientDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOrientDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWidely used in-process key-value storeMulti-model DBMS (Document, Graph, Key/Value)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Graph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitebrytlyt.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorientdb.orgsplicemachine.com
Technical documentationdocs.brytlyt.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.orientdb.com/­docs/­last/­index.htmlsplicemachine.com/­how-it-works
DeveloperBrytlytOracle infooriginally developed by Sleepycat, which was acquired by OracleOrientDB LTD; CallidusCloud; SAPSplice Machine
Initial release2016199420102014
Current release5.0, August 202318.1.40, May 20203.2.29, March 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availableOpen Source infoApache version 2Open Source infoAGPL 3.0, 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, C++ and CUDAC, Java, C++ (depending on the Berkeley DB edition)JavaJava
Server operating systemsLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
All OS with a Java JDK (>= JDK 6)Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infospecific XML-type available, but no XML query functionality.yes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availableSQL-like query language, no joinsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.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#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoJava, Javascriptyes infoJava
Triggersyesyes infoonly for the SQL APIHooksyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and roles; record level security configurableAccess rights for users, groups and roles according to SQL-standard

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More resources
BrytlytOracle Berkeley DBOrientDBSplice Machine
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