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DBMS > Blazegraph vs. Cloudflare Workers KV vs. Quasardb vs. SiteWhere vs. Spark SQL

System Properties Comparison Blazegraph vs. Cloudflare Workers KV vs. Quasardb vs. SiteWhere vs. Spark SQL

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  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.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Distributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Key-value storeTime Series DBMSTime 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
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteblazegraph.comwww.cloudflare.com/­developer-platform/­workers-kvquasar.aigithub.com/­sitewhere/­sitewherespark.apache.org/­sql
Technical documentationwiki.blazegraph.comdevelopers.cloudflare.com/­kv/­apidoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBlazegraphCloudflarequasardbSiteWhereApache Software Foundation
Initial release20062018200920102014
Current release2.1.5, March 20193.14.1, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaScala
Server operating systemsLinux
OS X
Windows
hostedBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesnoyes infointeger and binaryyesyes
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 indexesyesnoyes infowith tagsnono
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query languagenoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP REST
Proprietary protocol
HTTP APIHTTP RESTJDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infobased on HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication with selectable replication factorselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modenono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Cryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptno

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More resources
BlazegraphCloudflare Workers KVQuasardbSiteWhereSpark SQL
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