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DBMS > Blazegraph vs. FatDB vs. jBASE vs. LevelDB vs. Microsoft Azure Table Storage

System Properties Comparison Blazegraph vs. FatDB vs. jBASE vs. LevelDB vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonFatDB  Xexclude from comparisonjBASE  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Table Storage  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.
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 robust multi-value DBMS comprising development tools and middlewareEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Multivalue DBMSKey-value storeWide column 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
Score2.35
Rank#111  Overall
#19  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Websiteblazegraph.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwiki.blazegraph.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9github.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperBlazegraphFatCloudRocket Software (formerly Zumasys)GoogleMicrosoft
Initial release20062012199120112012
Current release2.1.5, March 20195.71.23, February 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C++
Server operating systemsLinux
OS X
Windows
WindowsAIX
Linux
Windows
Illumos
Linux
OS X
Windows
hosted
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesoptionalnoyes
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.yesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLSPARQL is used as query languageno infoVia inetgration in SQL ServerEmbedded SQL for jBASE in BASICnono
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
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#.Net
Basic
Jabbascript
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infovia applicationsyesnono
Triggersnoyes infovia applicationsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)no infoCan implement custom security layer via applicationsAccess rights can be defined down to the item levelnoAccess rights based on private key authentication or shared access signatures

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More resources
BlazegraphFatDBjBASELevelDBMicrosoft Azure Table Storage
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