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DBMS > Apache Impala vs. Blazegraph vs. FatDB vs. IBM Cloudant vs. SiteWhere

System Properties Comparison Apache Impala vs. Blazegraph vs. FatDB vs. IBM Cloudant vs. SiteWhere

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBlazegraph  Xexclude from comparisonFatDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSiteWhere  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 HadoopHigh-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.Database as a Service offering based on Apache CouchDBM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Key-value store
Document storeTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteimpala.apache.orgblazegraph.comwww.ibm.com/­products/­cloudantgithub.com/­sitewhere/­sitewhere
Technical documentationimpala.apache.org/­impala-docs.htmlwiki.blazegraph.comcloud.ibm.com/­docs/­Cloudantsitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBlazegraphFatCloudIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014SiteWhere
Initial release20132006201220102010
Current release4.1.0, June 20222.1.5, March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoextended commercial license availablecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC#ErlangJava
Server operating systemsLinuxLinux
OS X
Windows
WindowshostedLinux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesnoyes
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 indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSPARQL is used as query languageno infoVia inetgration in SQL Servernono
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP/JSON APIHTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes infovia applicationsView functions (Map-Reduce) in JavaScript
Triggersnonoyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesselectable replication factorMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSecurity and Authentication via Web Application Container (Tomcat, Jetty)no infoCan implement custom security layer via applicationsAccess rights for users can be defined per databaseUsers with fine-grained authorization concept

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More resources
Apache ImpalaBlazegraphFatDBIBM CloudantSiteWhere
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