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DBMS > Blazegraph vs. Dragonfly vs. Ingres vs. Spark SQL vs. Trafodion

System Properties Comparison Blazegraph vs. Dragonfly vs. Ingres vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDragonfly  Xexclude from comparisonIngres  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Apache Trafodion has been retired in 2021. 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 drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceWell established RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSRelational 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
Score0.49
Rank#261  Overall
#38  Key-value stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteblazegraph.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.actian.com/­databases/­ingresspark.apache.org/­sqltrafodion.apache.org
Technical documentationwiki.blazegraph.comwww.dragonflydb.io/­docsdocs.actian.com/­ingresspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperBlazegraphDragonflyDB team and community contributorsActian CorporationApache Software FoundationApache Software Foundation, originally developed by HP
Initial release200620231974 infooriginally developed at University Berkely in early 1970s20142014
Current release2.1.5, March 20191.0, March 202311.2, May 20223.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoBSL 1.1commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CScalaC++, Java
Server operating systemsLinux
OS X
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freescheme-freeyesyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesstrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSPARQL is used as query languagenoyesSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Proprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesLuayesnoJava Stored Procedures
Triggersnopublish/subscribe channels provide some trigger functionalityyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationIngres Replicatornoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes infoMVCCyesyes
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.yesnonono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Password-based authenticationfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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BlazegraphDragonflyIngresSpark SQLTrafodion
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