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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBlazegraph  Xexclude from comparisonHypertable  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.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines 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.An open source BigTable implementation based on distributed file systems such as HadoopDatabase as a Service offering based on Apache CouchDBM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSGraph DBMS
RDF store
Wide column storeDocument 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 ClouderaBlazegraphHypertable Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014SiteWhere
Initial release20132006200920102010
Current release4.1.0, June 20222.1.5, March 20190.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoextended commercial license availableOpen Source infoGNU version 3. Commercial license availablecommercialOpen 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
Linux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesnonoyes
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 indexesyesyesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSPARQL is used as query languagenonono
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
C++ API
Thrift
RESTful HTTP/JSON APIHTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnoView functions (Map-Reduce) in JavaScript
Triggersnononoyes
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 factor on file system levelMulti-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 configurationImmediate ConsistencyEventual 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)noAccess rights for users can be defined per databaseUsers with fine-grained authorization concept

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More resources
Apache ImpalaBlazegraphHypertableIBM CloudantSiteWhere
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