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DBMS > Alibaba Cloud Table Store vs. Altibase vs. Cachelot.io vs. Milvus vs. Netezza

System Properties Comparison Alibaba Cloud Table Store vs. Altibase vs. Cachelot.io vs. Milvus vs. Netezza

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAltibase  Xexclude from comparisonCachelot.io  Xexclude from comparisonMilvus  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 accessAn enterprise grade, high-performance RDBMSIn-memory caching systemA DBMS designed for efficient storage of vector data and vector similarity searchesData warehouse and analytics appliance part of IBM PureSystems
Primary database modelWide column storeRelational DBMSKey-value storeVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.04
Rank#388  Overall
#62  Key-value stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storealtibase.comcachelot.iomilvus.iowww.ibm.com/­products/­netezza
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoregithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsmilvus.io/­docs/­overview.md
DeveloperAlibabaAltibaseIBM
Initial release20161999201520192000
Current releasev7.3, 2023, August 20232.4.4, May 2024
License infoCommercial or Open Sourcecommercialcommercial infoOpen source edition discontinued with March 2023Open Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++C++C++, Go
Server operating systemshostedAIX
HP-UX
Linux
FreeBSD
Linux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux infoincluded in appliance
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoVector, Numeric and Stringyes
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.nononono
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLnoANSI SQL-92nonoyes
APIs and other access methodsHTTP APIJDBC
ODBC
Proprietary protocol
Memcached protocolRESTful HTTP APIJDBC
ODBC
OLE DB
Supported programming languagesJava
Python
C
C++
Java
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnostored procedures and stored functionsnonoyes
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardnoRole based access control and fine grained access rightsUsers with fine-grained authorization concept
More information provided by the system vendor
Alibaba Cloud Table StoreAltibaseCachelot.ioMilvusNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Alibaba Cloud Table StoreAltibaseCachelot.ioMilvusNetezza infoAlso called PureData System for Analytics by IBM
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