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DBMS > Amazon DynamoDB vs. Amazon Neptune vs. EXASOL vs. PostgreSQL vs. Snowflake

System Properties Comparison Amazon DynamoDB vs. Amazon Neptune vs. EXASOL vs. PostgreSQL vs. Snowflake

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonEXASOL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFast, reliable graph database built for the cloudHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.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
Graph DBMS
RDF 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
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websiteaws.amazon.com/­dynamodbaws.amazon.com/­neptunewww.exasol.comwww.postgresql.orgwww.snowflake.com
Technical documentationdocs.aws.amazon.com/­dynamodbaws.amazon.com/­neptune/­developer-resourceswww.exasol.com/­resourceswww.postgresql.org/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonAmazonExasolPostgreSQL Global Development Group infowww.postgresql.org/­developerSnowflake Computing Inc.
Initial release2012201720001989 info1989: Postgres, 1996: PostgreSQL2014
Current release16.3, May 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
hosted
Data schemeschema-freeschema-freeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyesyes infostandard with numerous extensionsyes
APIs and other access methodsRESTful HTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.Net
JDBC
ODBC
WebSocket
ADO.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#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Java
Lua
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functionsuser 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 Lambdanoyesyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hashyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Source-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)noyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyesyes
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 regionACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon DynamoDBAmazon NeptuneEXASOLPostgreSQLSnowflake
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