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DBMS > Blazegraph vs. Coveo vs. Graph Engine vs. TimescaleDB

System Properties Comparison Blazegraph vs. Coveo vs. Graph Engine vs. TimescaleDB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCoveo  Xexclude from comparisonGraph Engine infoformer name: Trinity  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.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelGraph DBMS
RDF store
Search engineGraph DBMS
Key-value store
Time 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
Score2.11
Rank#118  Overall
#11  Search engines
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteblazegraph.comwww.coveo.comwww.graphengine.iowww.timescale.com
Technical documentationwiki.blazegraph.comdocs.coveo.comwww.graphengine.io/­docs/­manualdocs.timescale.com
DeveloperBlazegraphCoveoMicrosoftTimescale
Initial release2006201220102017
Current release2.1.5, March 20192.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CC
Server operating systemsLinux
OS X
Windows
hosted.NETLinux
OS X
Windows
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesnumerics, 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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
Java
JavaScript
Python
C#
C++
F#
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoyesuser 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 nodesShardingyeshorizontal partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication with hot standby and reads on replicas info
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
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)granular access controls, API key management, content filtersfine grained access rights according to SQL-standard

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More resources
BlazegraphCoveoGraph Engine infoformer name: TrinityTimescaleDB
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