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DBMS > Amazon Neptune vs. Kdb vs. Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage vs. SiriDB

System Properties Comparison Amazon Neptune vs. Kdb vs. Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage vs. SiriDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHigh performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA Wide Column Store for rapid development using massive semi-structured datasetsOpen Source Time Series DBMS
Primary database modelGraph DBMS
RDF store
Time Series DBMS
Vector DBMS
Relational DBMSWide column storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteaws.amazon.com/­neptunekx.comazure.microsoft.com/­services/­synapse-analyticsazure.microsoft.com/­en-us/­services/­storage/­tablessiridb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcescode.kx.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.siridb.com
DeveloperAmazonKx Systems, a division of First Derivatives plcMicrosoftMicrosoftCesbit
Initial release20172000 infokdb was released 2000, kdb+ in 2003201620122017
Current release3.6, May 2018
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++C
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedhostedLinux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoNumeric data
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.noyesnonono
Secondary indexesnoyes infotable attribute 'grouped'yesnoyes
SQL infoSupport of SQLnoSQL-like query language (q)yesnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP APIHTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsTransact SQLnono
Triggersnoyes infowith viewsnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding, horizontal partitioningSharding infoImplicit feature of the cloud serviceSharding
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 replicationyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)rights management via user accountsyesAccess rights based on private key authentication or shared access signaturessimple rights management via user accounts
More information provided by the system vendor
Amazon NeptuneKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMicrosoft Azure Table StorageSiriDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Amazon NeptuneKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMicrosoft Azure Table StorageSiriDB
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