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DBMS > Alibaba Cloud Table Store vs. Amazon DynamoDB vs. CockroachDB vs. PostgreSQL vs. Prometheus

System Properties Comparison Alibaba Cloud Table Store vs. Amazon DynamoDB vs. CockroachDB vs. PostgreSQL vs. Prometheus

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHosted, scalable database service by Amazon with the data stored in Amazons cloudCockroachDB 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.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen-source Time Series DBMS and monitoring system
Primary database modelWide column storeDocument store
Key-value store
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­dynamodbwww.cockroachlabs.comwww.postgresql.orgprometheus.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­dynamodbwww.cockroachlabs.com/­docswww.postgresql.org/­docsprometheus.io/­docs
DeveloperAlibabaAmazonCockroach LabsPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2016201220151989 info1989: Postgres, 1996: PostgreSQL2015
Current release24.1.0, May 202416.3, May 2024
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0, commercial license availableOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
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Implementation languageGoCGo
Server operating systemshostedhostedLinux
macOS
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Windows
Data schemeschema-freeschema-freedynamic schemayesyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric data only
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 infospecific XML-type available, but no XML query functionality.no infoImport of XML data possible
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnonoyes, wire compatible with PostgreSQLyes infostandard with numerous extensionsno
APIs and other access methodsHTTP APIRESTful HTTP APIJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON API
Supported programming languagesJava
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnononouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyes infoby integration with AWS Lambdanoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardinghorizontal 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 RAFTpartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication using RAFTSource-replica replication infoother methods possible by using 3rd party extensionsyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono 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 ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoACID across one or more tables within a single AWS account and regionACIDACIDno
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.nononono
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlfine grained access rights according to SQL-standardno

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Alibaba Cloud Table StoreAmazon DynamoDBCockroachDBPostgreSQLPrometheus
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