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DBMS > 4D vs. Blazegraph vs. IRONdb vs. LeanXcale vs. Splice Machine

System Properties Comparison 4D vs. Blazegraph vs. IRONdb vs. LeanXcale vs. Splice Machine

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBlazegraph  Xexclude from comparisonIRONdb  Xexclude from comparisonLeanXcale  Xexclude from comparisonSplice Machine  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSGraph DBMS
RDF store
Time Series DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.4d.comblazegraph.comwww.circonus.com/solutions/time-series-database/www.leanxcale.comsplicemachine.com
Technical documentationdeveloper.4d.comwiki.blazegraph.comdocs.circonus.com/irondb/category/getting-startedsplicemachine.com/­how-it-works
Developer4D, IncBlazegraphCirconus LLC.LeanXcaleSplice Machine
Initial release19842006201720152014
Current releasev20, April 20232.1.5, March 2019V0.10.20, January 20183.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialcommercialOpen 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 languageJavaC and C++Java
Server operating systemsOS X
Windows
Linux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyes infotext, numeric, histogramsyes
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.yesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92SPARQL is used as query languageSQL-like query language (Circonus Analytics Query Language: CAQL)yes infothrough Apache Derbyyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
Native Spark Datasource
ODBC
Supported programming languages4D proprietary IDE
PHP
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
Java
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyesyes, in Luayes infoJava
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic, metric affinity per nodeShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesconfigurable replication factor, datacenter awareMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in Graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyesyes
User concepts infoAccess controlUsers and groupsSecurity and Authentication via Web Application Container (Tomcat, Jetty)noAccess rights for users, groups and roles according to SQL-standard

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More resources
4D infoformer name: 4th DimensionBlazegraphIRONdbLeanXcaleSplice Machine
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