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DBMS > Apache Impala vs. Citus vs. EsgynDB vs. Immudb vs. Netezza

System Properties Comparison Apache Impala vs. Citus vs. EsgynDB vs. Immudb vs. Netezza

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCitus  Xexclude from comparisonEsgynDB  Xexclude from comparisonImmudb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteimpala.apache.orgwww.citusdata.comwww.esgyn.cngithub.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­netezza
Technical documentationimpala.apache.org/­impala-docs.htmldocs.citusdata.comdocs.immudb.io
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynCodenotaryIBM
Initial release20132010201520202000
Current release4.1.0, June 20228.1, December 20181.2.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++, JavaGo
Server operating systemsLinuxLinuxLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in appliance
Data schemeyesyesyesschema-freeyes
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.noyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infostandard, with numerous extensionsyesSQL-like syntaxyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Proceduresnoyes
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Apache ImpalaCitusEsgynDBImmudbNetezza infoAlso called PureData System for Analytics by IBM
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