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DBMS > Amazon Neptune vs. Kdb vs. mSQL vs. Rockset vs. Sphinx

System Properties Comparison Amazon Neptune vs. Kdb vs. mSQL vs. Rockset vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonKdb  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHigh performance Time Series DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
RDF store
Time Series DBMS
Vector DBMS
Relational DBMSDocument storeSearch engine
Secondary database modelsRelational DBMSRelational DBMS
Search engine
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
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­neptunekx.comhughestech.com.au/­products/­msqlrockset.comsphinxsearch.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcescode.kx.comdocs.rockset.comsphinxsearch.com/­docs
DeveloperAmazonKx Systems, a division of First Derivatives plcHughes TechnologiesRocksetSphinx Technologies Inc.
Initial release20172000 infokdb was released 2000, kdb+ in 2003199420192001
Current release3.6, May 20184.4, October 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercial infofree licenses can be providedcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqCC++C++
Server operating systemshostedLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingno
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 infoingestion from XML files supported
Secondary indexesnoyes infotable attribute 'grouped'yesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query language (q)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
HTTP RESTProprietary protocol
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
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsnonono
Triggersnoyes infowith viewsnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnoneAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
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 replicationnoneyesnone
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 ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)rights management via user accountsnoAccess rights for users and organizations can be defined via Rockset consoleno
More information provided by the system vendor
Amazon NeptuneKdbmSQL infoMini SQLRocksetSphinx
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 NeptuneKdbmSQL infoMini SQLRocksetSphinx
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