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DBMS > Blazegraph vs. KeyDB vs. Sphinx vs. Trafodion

System Properties Comparison Blazegraph vs. KeyDB vs. Sphinx vs. Trafodion

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonKeyDB  Xexclude from comparisonSphinx  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.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOpen source search engine for searching in data from different sources, e.g. relational databasesTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Key-value storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteblazegraph.comgithub.com/­Snapchat/­KeyDB
keydb.dev
sphinxsearch.comtrafodion.apache.org
Technical documentationwiki.blazegraph.comdocs.keydb.devsphinxsearch.com/­docstrafodion.apache.org/­documentation.html
DeveloperBlazegraphEQ Alpha Technology Ltd.Sphinx Technologies Inc.Apache Software Foundation, originally developed by HP
Initial release2006201920012014
Current release2.1.5, March 20193.5.1, February 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoBSD-3Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C++, Java
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesnoyes
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 indexesyesyes infoby using the Redis Search moduleyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query language (SphinxQL)yes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Proprietary protocol infoRESP - REdis Serialization ProtocoProprietary protocolADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesLuanoJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
noneyes, 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 Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoThe original contents of fields are not stored in the Sphinx index.yes
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)simple password-based access control and ACLnofine grained access rights according to SQL-standard

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More resources
BlazegraphKeyDBSphinxTrafodion
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