DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Alibaba Cloud Table Store vs. Apache Impala vs. BigObject vs. Netezza

System Properties Comparison Alibaba Cloud Table Store vs. Apache Impala vs. BigObject vs. Netezza

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Impala  Xexclude from comparisonBigObject  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAnalytic DBMS for HadoopAnalytic DBMS for real-time computations and queriesData warehouse and analytics appliance part of IBM PureSystems
Primary database modelWide column storeRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#294  Overall
#12  Wide column stores
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeimpala.apache.orgbigobject.iowww.ibm.com/­products/­netezza
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreimpala.apache.org/­impala-docs.htmldocs.bigobject.io
DeveloperAlibabaApache Software Foundation infoApache top-level project, originally developed by ClouderaBigObject, Inc.IBM
Initial release2016201320152000
Current release4.1.0, June 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux infoincluded in appliance
Data schemeschema-freeyesyesyes
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP APIJDBC
ODBC
fluentd
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesJava
Python
All languages supporting JDBC/ODBCC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceLuayes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynonoyes infoautomatically between fact table and dimension tablesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoUsers with fine-grained authorization concept

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Alibaba Cloud Table StoreApache ImpalaBigObjectNetezza infoAlso called PureData System for Analytics by IBM
Recent citations in the news

What are some ways of getting free credit for Alibaba Cloud?
21 September 2018, SitePoint

Alibaba Cloud’s Singapore Node Suffers Network Disruption Due to Data Center Fire
10 September 2024, Pandaily

Top data analytics tools comparison: Alibaba Cloud, AWS, Azure, Google Cloud, IBM
5 December 2019, Wire19

Apache Software Foundation Announces New Top-Level Project Apache® Paimon
16 April 2024, GlobeNewswire

Gartner’s Magic Quadrant for Cloud Database Management Systems
9 December 2020, CRN

provided by Google News

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

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

Cloudera brings Apache Iceberg data lake format to its Data Platform
30 June 2022, SiliconANGLE News

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

Updates & Upserts in Hadoop Ecosystem with Apache Kudu
27 October 2017, KDnuggets

provided by Google News

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, IBM

Price Chopper Chooses IBM Netezza to Analyze Its Business Data
8 September 2024, Supermarket News

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

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

Copy data from Netezza to Azure with Azure Data Factory
9 September 2019, azure.microsoft.com

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here