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DBMS > Infobright vs. Lovefield vs. OrientDB vs. RDF4J vs. Splice Machine

System Properties Comparison Infobright vs. Lovefield vs. OrientDB vs. RDF4J vs. Splice Machine

Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonLovefield  Xexclude from comparisonOrientDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendEmbeddable relational database for web apps written in pure JavaScriptMulti-model DBMS (Document, Graph, Key/Value)RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
RDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteignitetech.com/­softwarelibrary/­infobrightdbgoogle.github.io/­lovefieldorientdb.orgrdf4j.orgsplicemachine.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.orientdb.com/­docs/­last/­index.htmlrdf4j.org/­documentationsplicemachine.com/­how-it-works
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.GoogleOrientDB LTD; CallidusCloud; SAPSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Splice Machine
Initial release20052014201020042014
Current release2.1.12, February 20173.2.29, March 20243.1, March 2021
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache 2.0Open Source infoApache version 2Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaScriptJavaJavaJava
Server operating systemsLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAll OS with a Java JDK (>= JDK 6)Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono
Secondary indexesno infoKnowledge Grid Technology used insteadyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternSQL-like query language, no joinsnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoJava, Javascriptyesyes infoJava
TriggersnoUsing read-only observersHooksyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesnoAccess rights for users and roles; record level security configurablenoAccess rights for users, groups and roles according to SQL-standard

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More resources
InfobrightLovefieldOrientDBRDF4J infoformerly known as SesameSplice Machine
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