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DBMS > Blazegraph vs. Hypertable vs. Lovefield vs. Tibero

System Properties Comparison Blazegraph vs. Hypertable vs. Lovefield vs. Tibero

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonHypertable  Xexclude from comparisonLovefield  Xexclude from comparisonTibero  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Hypertable has stopped its further development with March 2016 and is removed 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.An open source BigTable implementation based on distributed file systems such as HadoopEmbeddable relational database for web apps written in pure JavaScriptA secure RDBMS, designed for easy portability from Oracle
Primary database modelGraph DBMS
RDF store
Wide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websiteblazegraph.comgoogle.github.io/­lovefieldus.tmaxsoft.com/­products/­tibero
Technical documentationwiki.blazegraph.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperBlazegraphHypertable Inc.GoogleTmaxSoft
Initial release2006200920142003
Current release2.1.5, March 20190.9.8.11, March 20162.1.12, February 20176, April 2015
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScriptC and Assembler
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesnoyesyes
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.noyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
C++ API
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
JavaScriptC
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesnonoPersistent Stored Procedure (PSM)
TriggersnonoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBno infoplanned for next version
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)nonofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
BlazegraphHypertableLovefieldTibero
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