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DBMS > Alibaba Cloud MaxCompute vs. Amazon DynamoDB vs. Firebird vs. Kinetica vs. UniData,UniVerse

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon DynamoDB vs. Firebird vs. Kinetica vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonFirebird  Xexclude from comparisonKinetica  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingHosted, scalable database service by Amazon with the data stored in Amazons cloudFirebird is an open source RDBMS forked from Borland's InterBaseFully vectorized database across both GPUs and CPUsMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Key-value store
Relational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­dynamodbwww.firebirdsql.orgwww.kinetica.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.aws.amazon.com/­dynamodbwww.firebirdsql.org/­en/­reference-manualsdocs.kinetica.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperAlibabaAmazonFirebird FoundationKineticaRocket Software
Initial release201620122000 infoAs fork of Borland's InterBase20121985
Current release5.0.0, January 20247.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationsOpen Source infoInitial Developer's Public Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C, C++C
Server operating systemshostedhostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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.nono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like DML and DDL statementsyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJava.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavanoPSQLuser defined functionsyes
Triggersnoyes infoby integration with AWS Lambdayesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesSource-replica replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoACID across one or more tables within a single AWS account and regionACIDnoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization conceptAccess rights for users and roles on table levelAccess rights according to SQL-standard and operating system based

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More resources
Alibaba Cloud MaxComputeAmazon DynamoDBFirebirdKineticaUniData,UniVerse
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