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DBMS > Amazon Neptune vs. Kdb vs. Stardog vs. Teradata Aster

System Properties Comparison Amazon Neptune vs. Kdb vs. Stardog vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonKdb  Xexclude from comparisonStardog  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudHigh performance Time Series DBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationPlatform for big data analytics on multistructured data sources and types
Primary database modelGraph DBMS
RDF store
Time Series DBMS
Vector DBMS
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­neptunekx.comwww.stardog.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcescode.kx.comdocs.stardog.com
DeveloperAmazonKx Systems, a division of First Derivatives plcStardog-UnionTeradata
Initial release20172000 infokdb was released 2000, kdb+ in 200320102005
Current release3.6, May 20187.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqJava
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.noyesno infoImport/export of XML data possibleyes infoin Aster File Store
Secondary indexesnoyes infotable attribute 'grouped'yes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnoSQL-like query language (q)Yes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions and aggregates, HTTP Server extensions in JavaR packages
Triggersnoyes infowith viewsyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnoneSharding
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 replicationMulti-source replication in HA-Clusteryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)rights management via user accountsAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon NeptuneKdbStardogTeradata Aster
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 NeptuneKdbStardogTeradata Aster
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