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DBMS > Blazegraph vs. FatDB vs. InfinityDB vs. InfluxDB vs. Spark SQL

System Properties Comparison Blazegraph vs. FatDB vs. InfinityDB vs. InfluxDB vs. Spark SQL

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonFatDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSpark SQL  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 Java embedded Key-Value Store which extends the Java Map interfaceDBMS for storing time series, events and metricsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Key-value storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score0.07
Rank#359  Overall
#54  Key-value stores
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteblazegraph.comboilerbay.comwww.influxdata.com/­products/­influxdb-overviewspark.apache.org/­sql
Technical documentationwiki.blazegraph.comboilerbay.com/­infinitydb/­manualdocs.influxdata.com/­influxdbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBlazegraphFatCloudBoiler Bay Inc.Apache Software Foundation
Initial release20062012200220132014
Current release2.1.5, March 20194.02.7.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#JavaGoScala
Server operating systemsLinux
OS X
Windows
WindowsAll OS with a Java VMLinux
OS X infothrough Homebrew
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysNumeric data and Stringsyes
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.nonono
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilitynono
SQL infoSupport of SQLSPARQL is used as query languageno infoVia inetgration in SQL ServernoSQL-like query languageSQL-like DML and DDL statements
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
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
JSON over UDP
JDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infovia applicationsnonono
Triggersnoyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoin enterprise version onlyyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneselectable replication factor infoin enterprise version onlynone
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 configurationEventual Consistency
Immediate Consistency
Immediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyes infoRelationships in Graphsnono infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes infoDepending on used storage engineno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)no infoCan implement custom security layer via applicationsnosimple rights management via user accountsno
More information provided by the system vendor
BlazegraphFatDBInfinityDBInfluxDBSpark SQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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