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DBMS > Blazegraph vs. HBase vs. Sphinx vs. TimescaleDB

System Properties Comparison Blazegraph vs. HBase vs. Sphinx vs. TimescaleDB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonHBase  Xexclude from comparisonSphinx  Xexclude from comparisonTimescaleDB  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.Wide-column store based on Apache Hadoop and on concepts of BigTableOpen source search engine for searching in data from different sources, e.g. relational databasesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelGraph DBMS
RDF store
Wide column storeSearch engineTime Series DBMS
Secondary database modelsRelational 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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score5.95
Rank#55  Overall
#5  Search engines
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteblazegraph.comhbase.apache.orgsphinxsearch.comwww.timescale.com
Technical documentationwiki.blazegraph.comhbase.apache.org/­book.htmlsphinxsearch.com/­docsdocs.timescale.com
DeveloperBlazegraphApache Software Foundation infoApache top-level project, originally developed by PowersetSphinx Technologies Inc.Timescale
Initial release2006200820012017
Current release2.1.5, March 20192.3.4, January 20213.5.1, February 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache version 2Open 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 languageJavaJavaC++C
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesoptions to bring your own types, AVROnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyes
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query language (SphinxQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Java API
RESTful HTTP API
Thrift
Proprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javanouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
noneSource-replica replication with hot standby and reads on replicas info
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 configurationImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnofine grained access rights according to SQL-standard

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BlazegraphHBaseSphinxTimescaleDB
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