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DBMS > Alibaba Cloud MaxCompute vs. Amazon Redshift vs. Hazelcast vs. Kinetica

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon Redshift vs. Hazelcast vs. Kinetica

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonHazelcast  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingLarge scale data warehouse service for use with business intelligence toolsA widely adopted in-memory data gridFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.93
Rank#180  Overall
#88  Relational DBMS
Score23.86
Rank#32  Overall
#18  Relational DBMS
Score9.81
Rank#47  Overall
#6  Key-value stores
Score0.73
Rank#205  Overall
#101  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­redshifthazelcast.comwww.kinetica.com
Technical documentationwww.alibabacloud.com/­help/­product/­27797.htmdocs.aws.amazon.com/­redshifthazelcast.org/­imdg/­docswww.kinetica.com/­docs
DeveloperAlibabaAmazon (based on PostgreSQL)HazelcastKinetica
Initial release2016201220082012
Current release4.2, March 20217.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC, C++
Server operating systemshostedhostedAll OS with a Java VMLinux
Data schemeyesyesschema-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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesnorestrictedyesyes
SQL infoSupport of SQLSQL-like query languageyes infodoes not fully support an SQL-standardSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaAll languages supporting JDBC/ODBC.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functions infoin Pythonyes infoEvent Listeners, Executor Servicesuser defined functions
Triggersnonoyes infoEventsyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDone or two-phase-commit; repeatable reads; read commitedno
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.noyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardRole-based access controlAccess rights for users and roles on table level
More information provided by the system vendor
Alibaba Cloud MaxComputeAmazon RedshiftHazelcastKinetica
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Native and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Any application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
Alibaba Cloud MaxComputeAmazon RedshiftHazelcastKinetica
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