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DBMS > BigchainDB vs. Blazegraph vs. Databricks

System Properties Comparison BigchainDB vs. Blazegraph vs. Databricks

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonDatabricks  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.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.
Primary database modelDocument storeGraph DBMS
RDF store
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Websitewww.bigchaindb.comblazegraph.comwww.databricks.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwiki.blazegraph.comdocs.databricks.com
DeveloperBlazegraphDatabricks
Initial release201620062013
Current release2.1.5, March 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoextended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJava
Server operating systemsLinuxLinux
OS X
Windows
hosted
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyes infoRDF literal 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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languagewith Databricks SQL
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functions and aggregates
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)
More information provided by the system vendor
BigchainDBBlazegraphDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BigchainDBBlazegraphDatabricks
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