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DBMS > Blazegraph vs. Cloudflare Workers KV vs. Databricks vs. OrigoDB vs. Teradata

System Properties Comparison Blazegraph vs. Cloudflare Workers KV vs. Databricks vs. OrigoDB vs. Teradata

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDatabricks  Xexclude from comparisonOrigoDB  Xexclude from comparisonTeradata  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.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A fully ACID in-memory object graph databaseA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelGraph DBMS
RDF store
Key-value storeDocument store
Relational DBMS
Document store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score0.39
Rank#274  Overall
#39  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websiteblazegraph.comwww.cloudflare.com/­developer-platform/­workers-kvwww.databricks.comorigodb.comwww.teradata.com
Technical documentationwiki.blazegraph.comdevelopers.cloudflare.com/­kv/­apidocs.databricks.comorigodb.com/­docsdocs.teradata.com
DeveloperBlazegraphCloudflareDatabricksRobert Friberg et alTeradata
Initial release2006201820132009 infounder the name LiveDB1984
Current release2.1.5, March 2019Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#
Server operating systemsLinux
OS X
Windows
hostedhostedLinux
Windows
hosted
Linux
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesnoUser defined using .NET types and collectionsyes
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.noyesno infocan be achieved using .NETyes
Secondary indexesyesnoyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSPARQL is used as query languagenowith Databricks SQLnoyes infoSQL 2016 + extensions
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP REST
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Python
R
Scala
.NetC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesyesyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesSource-replica replicationMulti-source replication
Source-replica 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Role based authorizationfine grained access rights according to SQL-standard
More information provided by the system vendor
BlazegraphCloudflare Workers KVDatabricksOrigoDBTeradata
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BlazegraphCloudflare Workers KVDatabricksOrigoDBTeradata
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