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DBMS > Blazegraph vs. FatDB vs. SQL.JS vs. Vertica

System Properties Comparison Blazegraph vs. FatDB vs. SQL.JS vs. Vertica

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonFatDB  Xexclude from comparisonSQL.JS  Xexclude from comparisonVertica infoOpenText™ Vertica™  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.Port of SQLite to JavaScriptCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series 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
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websiteblazegraph.comsql.js.orgwww.vertica.com
Technical documentationwiki.blazegraph.comsql.js.org/­documentation/­index.htmlvertica.com/­documentation
DeveloperBlazegraphFatCloudAlon Zakai infoenhancements implemented by othersOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2006201220122005
Current release2.1.5, March 201912.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Sourcecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#JavaScriptC++
Server operating systemsLinux
OS X
Windows
Windowsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeschema-freeschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyes
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.nono
Secondary indexesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSPARQL is used as query languageno infoVia inetgration in SQL Serveryes infoSQL-92 is not fully supportedFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
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
JavaScript APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#JavaScriptC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesyes infovia applicationsnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyes infovia applicationsnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
noneImmediate 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 datayesyesyes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a fileyes
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 applicationsnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
BlazegraphFatDBSQL.JSVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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BlazegraphFatDBSQL.JSVertica infoOpenText™ Vertica™
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