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DBMS > Apache Impala vs. InterSystems Caché vs. Netezza vs. SiriDB vs. SpaceTime

System Properties Comparison Apache Impala vs. InterSystems Caché vs. Netezza vs. SiriDB vs. SpaceTime

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSiriDB  Xexclude from comparisonSpaceTime  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopA multi-model DBMS and application serverData warehouse and analytics appliance part of IBM PureSystemsOpen Source Time Series DBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMSSpatial 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
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websiteimpala.apache.orgwww.intersystems.com/­products/­cachewww.ibm.com/­products/­netezzasiridb.comwww.mireo.com/­spacetime
Technical documentationimpala.apache.org/­impala-docs.htmldocs.intersystems.comdocs.siridb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaInterSystemsIBMCesbitMireo
Initial release20131997200020172020
Current release4.1.0, June 20222018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux infoincluded in applianceLinuxLinux
Data schemeyesdepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoNumeric datayes
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.noyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesnoA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
HTTP APIRESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Java
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyesnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replicationyesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
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.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and rolesUsers with fine-grained authorization conceptsimple rights management via user accountsyes

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More resources
Apache ImpalaInterSystems CachéNetezza infoAlso called PureData System for Analytics by IBMSiriDBSpaceTime
Recent citations in the news

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

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InterSystems Unveils Caché 2015
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12 February 2022, CRN

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24 June 2022, IBM

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9 July 2016, Data Science Central

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IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, IBM

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Netezza Performance Server
12 August 2020, IBM

provided by Google News



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