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DBMS > AllegroGraph vs. Amazon Aurora vs. Kdb vs. NSDb

System Properties Comparison AllegroGraph vs. Amazon Aurora vs. Kdb vs. NSDb

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonKdb  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSMySQL and PostgreSQL compatible cloud service by AmazonHigh performance Time Series DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSTime Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsSpatial DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websiteallegrograph.comaws.amazon.com/­rds/­aurorakx.comnsdb.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlcode.kx.comnsdb.io/­Architecture
DeveloperFranz Inc.AmazonKx Systems, a division of First Derivatives plc
Initial release200420152000 infokdb was released 2000, kdb+ in 20032017
Current release8.0, December 20233.6, May 2018
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial infofree 32-bit versionOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqJava, Scala
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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.no infobulk load of XML files possibleyesyesno
Secondary indexesyesyesyes infotable attribute 'grouped'all fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languageyesSQL-like query language (q)SQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
gRPC
HTTP REST
WebSocket
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Java
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesuser defined functionsno
Triggersyesyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioninghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
AllegroGraphAmazon AuroraKdbNSDb
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
News

AllegroGraph Named a 2024 Trend Setting Product
16 September 2024

Gartner recognized Franz Inc. as a Key Neuro-Symbolic AI Provider in 2024 Hype Cycle for AI
10 September 2024

Next-Generation Cybersecurity: Integrating Knowledge Graphs and Neuro-Symbolic AI with STIX and TAXII
10 September 2024

Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
9 September 2024

Awesome AI Companies – Franz Inc.
17 July 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
AllegroGraphAmazon AuroraKdbNSDb
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