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DBMS > Apache Impala vs. OrigoDB vs. RDFox

System Properties Comparison Apache Impala vs. OrigoDB vs. RDFox

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonOrigoDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA fully ACID in-memory object graph databaseHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Graph DBMS
RDF store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteimpala.apache.orgorigodb.comwww.oxfordsemantic.tech
Technical documentationimpala.apache.org/­impala-docs.htmlorigodb.com/­docsdocs.oxfordsemantic.tech
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaRobert Friberg et alOxford Semantic Technologies
Initial release20132009 infounder the name LiveDB2017
Current release4.1.0, June 20226.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#C++
Server operating systemsLinuxLinux
Windows
Linux
macOS
Windows
Data schemeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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.nono infocan be achieved using .NET
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
.NET Client API
HTTP API
LINQ
RESTful HTTP API
SPARQL 1.1
Supported programming languagesAll languages supporting JDBC/ODBC.NetC
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole based authorizationRoles, resources, and access types

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More resources
Apache ImpalaOrigoDBRDFox
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