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DBMS > BigchainDB vs. Blazegraph vs. Fauna vs. Google Cloud Bigtable

System Properties Comparison BigchainDB vs. Blazegraph vs. Fauna vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Bigtable  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.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelDocument storeGraph DBMS
RDF store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websitewww.bigchaindb.comblazegraph.comfauna.comcloud.google.com/­bigtable
Technical documentationbigchaindb.readthedocs.io/­en/­latestwiki.blazegraph.comdocs.fauna.comcloud.google.com/­bigtable/­docs
DeveloperBlazegraphFauna, Inc.Google
Initial release2016200620142015
Current release2.1.5, March 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoextended commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaScala
Server operating systemsLinuxLinux
OS X
Windows
hostedhosted
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyes infoRDF literal typesnono
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnoSPARQL is used as query languagenono
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)Identity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
BigchainDBBlazegraphFauna infopreviously named FaunaDBGoogle Cloud Bigtable
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