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DBMS > Alibaba Cloud MaxCompute vs. Amazon CloudSearch vs. Google Cloud Datastore vs. Kinetica vs. Tkrzw

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon CloudSearch vs. Google Cloud Datastore vs. Kinetica vs. Tkrzw

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonKinetica  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA hosted search engine service by Amazon with the data stored in Amazons cloudAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFully vectorized database across both GPUs and CPUsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesSearch engineDocument storeRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#220  Overall
#102  Relational DBMS
Score2.08
Rank#133  Overall
#12  Search engines
Score4.87
Rank#78  Overall
#12  Document stores
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score0.05
Rank#380  Overall
#59  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­cloudsearchcloud.google.com/­datastorewww.kinetica.comdbmx.net/­tkrzw
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.aws.amazon.com/­cloudsearchcloud.google.com/­datastore/­docsdocs.kinetica.com
DeveloperAlibabaAmazonGoogleKineticaMikio Hirabayashi
Initial release20162012200820122020
Current release7.1, August 20210.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemshostedhostedhostedLinuxLinux
macOS
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, details hereyesno
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 indexesnoyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (GQL)SQL-like DML and DDL statementsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javanousing Google App Engineuser defined functionsno
TriggersnonoCallbacks using the Google Apps Engineyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infomanaged transparently by AWSMulti-source replication using PaxosSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes infoGPU vRAM or System RAMyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and rolesauthentication via encrypted signaturesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelno

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More resources
Alibaba Cloud MaxComputeAmazon CloudSearchGoogle Cloud DatastoreKineticaTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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