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DBMS > Amazon Neptune vs. Microsoft Azure Synapse Analytics vs. Riak TS vs. Stardog

System Properties Comparison Amazon Neptune vs. Microsoft Azure Synapse Analytics vs. Riak TS vs. Stardog

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRiak TS  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.25
Rank#308  Overall
#26  Time Series DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­neptuneazure.microsoft.com/­services/­synapse-analyticswww.stardog.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.microsoft.com/­azure/­synapse-analyticswww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.stardog.com
DeveloperAmazonMicrosoftOpen Source, formerly Basho TechnologiesStardog-Union
Initial release2017201620152010
Current release3.0.0, September 20227.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangJava
Server operating systemshostedhostedLinux
OS X
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono infoImport/export of XML data possible
Secondary indexesnoyesrestrictedyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesyes, limitedYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Java
PHP
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoTransact SQLErlanguser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyes infopre-commit hooks and post-commit hooksyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShardingnone
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.yesselectable replication factorMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoRelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno infolinks between datasets can be storedyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesnoAccess rights for users and roles

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More resources
Amazon NeptuneMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRiak TSStardog
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