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DBMS > Amazon DynamoDB vs. CockroachDB vs. PostgreSQL vs. Snowflake

System Properties Comparison Amazon DynamoDB vs. CockroachDB vs. PostgreSQL vs. Snowflake

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHosted, 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 SQLCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument 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.Relational 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
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score133.72
Rank#7  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.cockroachlabs.comwww.postgresql.orgwww.snowflake.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.cockroachlabs.com/­docswww.postgresql.org/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonCockroach LabsPostgreSQL Global Development Group infowww.postgresql.org/­developerSnowflake Computing Inc.
Initial release201220151989 info1989: Postgres, 1996: PostgreSQL2014
Current release24.1.0, May 202416.4, August 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0, commercial license availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageGoC
Server operating systemshostedLinux
macOS
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
hosted
Data schemeschema-freedynamic schemayesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.noyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLyes infostandard with numerous extensionsyes
APIs and other access methodsRESTful HTTP APIJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
ODBC
Supported programming languages.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
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
Triggersyes infoby integration with AWS Lambdanoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal 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 hashyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDACIDACID
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.nonono
User concepts infoAccess controlAccess 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-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon DynamoDBCockroachDBPostgreSQLSnowflake
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PASS Data Community Summit
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