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DBMS > Apache Impala vs. Fujitsu Enterprise Postgres vs. RDFox vs. SingleStore

System Properties Comparison Apache Impala vs. Fujitsu Enterprise Postgres vs. RDFox vs. SingleStore

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonRDFox  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.High performance knowledge graph and semantic reasoning engineMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Relational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteimpala.apache.orgwww.postgresql.fastware.comwww.oxfordsemantic.techwww.singlestore.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.postgresql.fastware.com/­product-manualsdocs.oxfordsemantic.techdocs.singlestore.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyOxford Semantic TechnologiesSingleStore Inc.
Initial release201320172013
Current release4.1.0, June 2022Fujitsu Enterprise Postgres 14, January 20226.0, Septermber 20228.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++C++, Go
Server operating systemsLinuxLinux
Windows
Linux
macOS
Windows
Linux info64 bit version required
Data schemeyesyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
SPARQL 1.1
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationreplication via a shared file systemSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
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 Kerberosfine grained access rights according to SQL-standardRoles, resources, and access typesFine grained access control via users, groups and roles

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More resources
Apache ImpalaFujitsu Enterprise PostgresRDFoxSingleStore infoformer name was MemSQL
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