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DBMS > Amazon Neptune vs. Kinetica vs. mSQL vs. Snowflake

System Properties Comparison Amazon Neptune vs. Kinetica vs. mSQL vs. Snowflake

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonKinetica  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudFully vectorized database across both GPUs and CPUsmSQL (Mini SQL) is a simple and lightweight RDBMSCloud-based data warehousing service for structured and semi-structured data
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.26
Rank#163  Overall
#74  Relational DBMS
Score133.72
Rank#7  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­neptunewww.kinetica.comhughestech.com.au/­products/­msqlwww.snowflake.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.kinetica.comdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonKineticaHughes TechnologiesSnowflake Computing Inc.
Initial release2017201219942014
Current release7.1, August 20214.4, October 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree licenses can be providedcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C
Server operating systemshostedLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
hosted
Data schemeschema-freeyesyesyes 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.nononoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes
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.Source-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnono
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 on table levelnoUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon NeptuneKineticamSQL infoMini SQLSnowflake
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