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DBMS > Amazon Neptune vs. EventStoreDB vs. Kdb vs. mSQL vs. OrigoDB

System Properties Comparison Amazon Neptune vs. EventStoreDB vs. Kdb vs. mSQL vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEventStoreDB  Xexclude from comparisonKdb  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudIndustrial-strength, open-source database solution built from the ground up for event sourcing.High performance Time Series DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph database
Primary database modelGraph DBMS
RDF store
Event StoreTime Series DBMS
Vector DBMS
Relational DBMSDocument store
Object oriented 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
Score1.10
Rank#179  Overall
#1  Event Stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteaws.amazon.com/­neptunewww.eventstore.comkx.comhughestech.com.au/­products/­msqlorigodb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdevelopers.eventstore.comcode.kx.comorigodb.com/­docs
DeveloperAmazonEvent Store LimitedKx Systems, a division of First Derivatives plcHughes TechnologiesRobert Friberg et al
Initial release201720122000 infokdb was released 2000, kdb+ in 200319942009 infounder the name LiveDB
Current release21.2, February 20213.6, May 20184.4, October 2021
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infofree 32-bit versioncommercial infofree licenses can be providedOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqCC#
Server operating systemshostedLinux
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collections
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.noyesnono infocan be achieved using .NET
Secondary indexesnoyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnoSQL-like query language (q)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
.NET Client API
HTTP API
LINQ
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
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersnoyes infowith viewsnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnonehorizontal partitioning infoclient side managed; servers are not synchronized
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 replicationnoneSource-replica replication
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 Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoWrite ahead log
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 accountsnoRole based authorization
More information provided by the system vendor
Amazon NeptuneEventStoreDBKdbmSQL infoMini SQLOrigoDB
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 NeptuneEventStoreDBKdbmSQL infoMini SQLOrigoDB
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