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DBMS > Blazegraph vs. FatDB vs. IRONdb vs. jBASE vs. Oracle Coherence

System Properties Comparison Blazegraph vs. FatDB vs. IRONdb vs. jBASE vs. Oracle Coherence

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonFatDB  Xexclude from comparisonIRONdb  Xexclude from comparisonjBASE  Xexclude from comparisonOracle Coherence  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA robust multi-value DBMS comprising development tools and middlewareOracles in-memory data grid solution
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Time Series DBMSMultivalue DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteblazegraph.comwww.circonus.com/solutions/time-series-database/www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.oracle.com/­java/­coherence
Technical documentationwiki.blazegraph.comdocs.circonus.com/irondb/category/getting-starteddocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperBlazegraphFatCloudCirconus LLC.Rocket Software (formerly Zumasys)Oracle
Initial release20062012201719912007
Current release2.1.5, March 2019V0.10.20, January 20185.714.1, August 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C and C++Java
Server operating systemsLinux
OS X
Windows
WindowsLinuxAIX
Linux
Windows
All OS with a Java VM
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyes infotext, numeric, histogramsoptionalyes
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.noyesno
Secondary indexesyesyesnono
SQL infoSupport of SQLSPARQL is used as query languageno infoVia inetgration in SQL ServerSQL-like query language (Circonus Analytics Query Language: CAQL)Embedded SQL for jBASE in BASICno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JCache
JPA
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic
Jabbascript
Java
.Net
C++
Java
Server-side scripts infoStored proceduresyesyes infovia applicationsyes, in Luayesno
Triggersnoyes infovia applicationsnoyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorconfigurable replication factor, datacenter awareyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)no infoCan implement custom security layer via applicationsnoAccess rights can be defined down to the item levelauthentification to access the cache via certificates or http basic authentication

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More resources
BlazegraphFatDBIRONdbjBASEOracle Coherence
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