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DBMS > Apache Impala vs. FeatureBase vs. Fujitsu Enterprise Postgres

System Properties Comparison Apache Impala vs. FeatureBase vs. Fujitsu Enterprise Postgres

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFeatureBase  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.30
Rank#41  Overall
#25  Relational DBMS
Score0.21
Rank#303  Overall
#135  Relational DBMS
Score0.19
Rank#307  Overall
#137  Relational DBMS
Websiteimpala.apache.orgwww.featurebase.comwww.postgres.global.fujitsu.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.featurebase.comwww.postgres.global.fujitsu.com/­product-manuals
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMolecula and Pilosa Open Source ContributorsFujitsu Limited
Initial release20132017
Current release4.1.0, June 20222022, May 2022Fujitsu Enterprise Postgres 16, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC
Server operating systemsLinuxLinux
macOS
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL queriesyes
APIs and other access methodsJDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCJava
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replication
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
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standard

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More resources
Apache ImpalaFeatureBaseFujitsu Enterprise Postgres
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