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DBMS > Amazon Neptune vs. PieCloudDB vs. Snowflake

System Properties Comparison Amazon Neptune vs. PieCloudDB vs. Snowflake

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonPieCloudDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA cloud-native analytic database platform with new technologoy for elastic MPPCloud-based data warehousing service for structured and semi-structured data
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#111  Overall
#9  Graph DBMS
#5  RDF stores
Score0.13
Rank#336  Overall
#148  Relational DBMS
Score172.01
Rank#6  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­neptunewww.openpie.comwww.snowflake.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonOpenPieSnowflake Computing Inc.
Initial release20172014
Current release2.1, January 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhostedhosted
Data schemeschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesnoyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Java
PL/SQL
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions
Triggersnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneyesyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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.yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)User Roles and pluggable authentication with full SQL StandardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon NeptunePieCloudDBSnowflake
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