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DBMS > Alibaba Cloud ApsaraDB for PolarDB vs. InterSystems Caché vs. Netezza vs. ScyllaDB

System Properties Comparison Alibaba Cloud ApsaraDB for PolarDB vs. InterSystems Caché vs. Netezza vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud ApsaraDB for PolarDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.A multi-model DBMS and application serverData warehouse and analytics appliance part of IBM PureSystemsCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value store
Wide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.63
Rank#216  Overall
#105  Relational DBMS
Score2.91
Rank#102  Overall
#18  Key-value stores
#1  Object oriented DBMS
#53  Relational DBMS
Score19.27
Rank#37  Overall
#22  Relational DBMS
Score3.91
Rank#85  Overall
#14  Key-value stores
#6  Wide column stores
Websitewww.alibabacloud.com/­product/­polardbwww.intersystems.com/­products/­cachewww.ibm.com/­products/­netezzawww.scylladb.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­58764.htmdocs.intersystems.comdocs.scylladb.com
DeveloperAlibabaInterSystemsIBMScyllaDB
Initial release199720002015
Current release2018.1.4, May 2020Scylla Open Source 4.5, October 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux infoincluded in applianceLinux
Data schemeyesdepending on used data modelyesschema-free
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.yesyesno
Secondary indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLyesyesyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJava
Python
C#
C++
Java
C
C++
Fortran
Java
Lua
Perl
Python
R
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresyesyesyesyes, Lua
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesUsers with fine-grained authorization conceptAccess rights for users can be defined per object
More information provided by the system vendor
Alibaba Cloud ApsaraDB for PolarDBInterSystems CachéNetezza infoAlso called PureData System for Analytics by IBMScyllaDB
Specific characteristicsApsaraDB for PolarDB is a cloud-native relational database 100% compatible with MySQL...
» more
Scylla is a highly-available, highly-scalable, highly-performant NoSQL database....
» more
Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
» more
AdTech ( AdGear , AppMonet , Dstillery , FullContact , MediaMath , Numberly , SAS...
» more
Key customersComcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
» more
Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
» more
Scylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
» more

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More resources
Alibaba Cloud ApsaraDB for PolarDBInterSystems CachéNetezza infoAlso called PureData System for Analytics by IBMScyllaDB
Conferences and events

Scylla Summit 2022
Virtual Conference, 9-10 February 2022

Finished events

Critical Attributes for a High-Performance, Low-Latency Database
Webinar, Video Available, 28 October 2021 (finished)

Demystifying the Distributed Database Landscape
Webinar, Video Available, 2 December 2021 (finished)

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