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DBMS > Blazegraph vs. QuestDB vs. Sphinx

System Properties Comparison Blazegraph vs. QuestDB vs. Sphinx

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonQuestDB  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.A high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
RDF store
Time Series DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#182  Overall
#16  Graph DBMS
#8  RDF stores
Score0.37
Rank#247  Overall
#19  Time Series DBMS
Score6.43
Rank#60  Overall
#7  Search engines
Websiteblazegraph.comquestdb.iosphinxsearch.com
Technical documentationwiki.blazegraph.comquestdb.io/­docs/­introductionsphinxsearch.com/­docs
DeveloperBlazegraphQuestDB LimitedSphinx Technologies Inc.
Initial release200620142001
Current release2.1.5, March 20193.3.1, July 2020
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesno
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.no
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Proprietary protocol
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable consistency for N replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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 infothrough memory mapped files
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)no
More information provided by the system vendor
BlazegraphQuestDBSphinx
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more

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BlazegraphQuestDBSphinx
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