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DBMS > Amazon Neptune vs. Kdb vs. Stardog vs. TerarkDB

System Properties Comparison Amazon Neptune vs. Kdb vs. Stardog vs. TerarkDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonKdb  Xexclude from comparisonStardog  Xexclude from comparisonTerarkDB  Xexclude from comparison
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 virtualizationA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMS
RDF store
Time Series DBMS
Vector DBMS
Graph DBMS
RDF store
Key-value store
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
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­neptunekx.comwww.stardog.comgithub.com/­bytedance/­terarkdb
Technical documentationaws.amazon.com/­neptune/­developer-resourcescode.kx.comdocs.stardog.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonKx Systems, a division of First Derivatives plcStardog-UnionByteDance, originally Terark
Initial release20172000 infokdb was released 2000, kdb+ in 200320102016
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 inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqJavaC++
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 possibleno
Secondary indexesnoyes infotable attribute 'grouped'yes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnoSQL-like query language (q)Yes, compatible with all major SQL variants through dedicated BI/SQL Serverno
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
C++ API
Java 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
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyes infowith viewsyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnonenone
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-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.yesyesyes
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 rolesno
More information provided by the system vendor
Amazon NeptuneKdbStardogTerarkDB
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 NeptuneKdbStardogTerarkDB
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