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DBMS > Blazegraph vs. Datomic vs. HugeGraph vs. NSDb vs. Sphinx

System Properties Comparison Blazegraph vs. Datomic vs. HugeGraph vs. NSDb vs. Sphinx

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDatomic  Xexclude from comparisonHugeGraph  Xexclude from comparisonNSDb  Xexclude from comparisonSphinx  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fast-speed and highly-scalable Graph DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteblazegraph.comwww.datomic.comgithub.com/­hugegraph
hugegraph.apache.org
nsdb.iosphinxsearch.com
Technical documentationwiki.blazegraph.comdocs.datomic.comhugegraph.apache.org/­docsnsdb.io/­Architecturesphinxsearch.com/­docs
DeveloperBlazegraphCognitectBaiduSphinx Technologies Inc.
Initial release20062012201820172001
Current release2.1.5, March 20191.0.6735, June 20230.93.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureJavaJava, ScalaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Unix
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyes: int, bigint, decimal, stringno
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 indexesyesyesyes infoalso supports composite index and range indexall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC
HTTP REST
WebSocket
Proprietary protocol
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Clojure
Java
Groovy
Java
Python
Java
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsasynchronous Gremlin script jobsnono
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Luceneyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)noUsers, roles and permissionsno

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More resources
BlazegraphDatomicHugeGraphNSDbSphinx
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