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DBMS > Blazegraph vs. Brytlyt vs. PouchDB vs. SiriDB vs. Spark SQL

System Properties Comparison Blazegraph vs. Brytlyt vs. PouchDB vs. SiriDB vs. Spark SQL

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonBrytlyt  Xexclude from comparisonPouchDB  Xexclude from comparisonSiriDB  Xexclude from comparisonSpark SQL  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.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLJavaScript DBMS with an API inspired by CouchDBOpen Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeTime Series DBMSRelational 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
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteblazegraph.combrytlyt.iopouchdb.comsiridb.comspark.apache.org/­sql
Technical documentationwiki.blazegraph.comdocs.brytlyt.iopouchdb.com/­guidesdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBlazegraphBrytlytApache Software FoundationCesbitApache Software Foundation
Initial release20062016201220172014
Current release2.1.5, March 20195.0, August 20237.1.1, June 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAJavaScriptCScala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesnoyes infoNumeric datayes
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyes infovia viewsyesno
SQL infoSupport of SQLSPARQL is used as query languageyesnonoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APIJDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
JavaScriptC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLView functions in JavaScriptnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardnosimple rights management via user accountsno

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More resources
BlazegraphBrytlytPouchDBSiriDBSpark SQL
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