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DBMS > Blazegraph vs. InfluxDB vs. JaguarDB vs. Spark SQL vs. YDB

System Properties Comparison Blazegraph vs. InfluxDB vs. JaguarDB vs. Spark SQL vs. YDB

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonInfluxDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonYDB  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.DBMS for storing time series, events and metricsPerformant, highly scalable DBMS for AI and IoT applicationsSpark SQL is a component on top of 'Spark Core' for structured data processingA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMS
RDF store
Time Series DBMSKey-value store
Vector DBMS
Relational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteblazegraph.comwww.influxdata.com/­products/­influxdb-overviewwww.jaguardb.comspark.apache.org/­sqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwiki.blazegraph.comdocs.influxdata.com/­influxdbwww.jaguardb.com/­support.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperBlazegraphDataJaguar, Inc.Apache Software FoundationYandex
Initial release20062013201520142019
Current release2.1.5, March 20192.7.6, April 20243.3 July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL V3.0Open Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++ infothe server part. Clients available in other languagesScala
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
LinuxLinux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infoRDF literal typesNumeric data and Stringsyesyesyes
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.nononono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP API
JSON over UDP
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlyMulti-source replicationnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage enginenonono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)simple rights management via user accountsrights management via user accountsnoAccess rights defined for Yandex Cloud users
More information provided by the system vendor
BlazegraphInfluxDBJaguarDBSpark SQLYDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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