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DBMS > Alibaba Cloud MaxCompute vs. Amazon SimpleDB vs. CockroachDB vs. Kinetica vs. RDF4J

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon SimpleDB vs. CockroachDB vs. Kinetica vs. RDF4J

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Fully vectorized database across both GPUs and CPUsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value storeRelational DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.85
Rank#138  Overall
#24  Key-value stores
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­simpledbwww.cockroachlabs.comwww.kinetica.comrdf4j.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.aws.amazon.com/­simpledbwww.cockroachlabs.com/­docsdocs.kinetica.comrdf4j.org/­documentation
DeveloperAlibabaAmazonCockroach LabsKineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162007201520122004
Current release23.1.1, May 20237.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
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 languageGoC, C++Java
Server operating systemshostedhostedLinux
macOS
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeyesschema-freedynamic schemayesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonono
Secondary indexesnoyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyes, wire compatible with PostgreSQLSQL-like DML and DDL statementsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP APIJDBCJDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanonouser defined functionsyes
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoSharding must be implemented in the applicationhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication using RAFTSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoConcurrent data updates can be detected by the applicationACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes 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)Role-based access controlAccess rights for users and roles on table levelno

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More resources
Alibaba Cloud MaxComputeAmazon SimpleDBCockroachDBKineticaRDF4J infoformerly known as Sesame
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