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DBMS > Apache Impala vs. BigchainDB vs. Blazegraph vs. FatDB vs. FileMaker

System Properties Comparison Apache Impala vs. BigchainDB vs. Blazegraph vs. FatDB vs. FileMaker

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBigchainDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonFatDB  Xexclude from comparisonFileMaker  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAnalytic DBMS for HadoopBigchainDB 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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.FileMaker is a cross-platform RDBMS that includes a GUI frontend.
Primary database modelRelational DBMSDocument storeGraph DBMS
RDF store
Document store
Key-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Websiteimpala.apache.orgwww.bigchaindb.comblazegraph.comwww.claris.com/­filemaker
Technical documentationimpala.apache.org/­impala-docs.htmlbigchaindb.readthedocs.io/­en/­latestwiki.blazegraph.comwww.claris.com/­resources/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBlazegraphFatCloudClaris infoa subsidiary of Apple
Initial release20132016200620121983
Current release4.1.0, June 20222.1.5, March 201919.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL v3Open Source infoextended commercial license availablecommercialcommercial
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 languageC++PythonJavaC#
Server operating systemsLinuxLinuxLinux
OS X
Windows
WindowsiOS infoclient part only
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infoRDF literal typesyesyes
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.nonoyes infoA http query request can return the data in XML format
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSPARQL is used as query languageno infoVia inetgration in SQL Serveryes infovia plugins
APIs and other access methodsJDBC
ODBC
CLI Client
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Filemaker WebDirect
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#PHP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes infovia applicationsyes
Triggersnonoyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factoryesselectable replication factorSource-replica replication, warm standby infosince Version 14
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)no infoCan implement custom security layer via applicationssimple rights management via user accounts and connection to external directory services

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More resources
Apache ImpalaBigchainDBBlazegraphFatDBFileMaker
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