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DBMS > Amazon Neptune vs. Kdb vs. LeanXcale vs. Microsoft Azure Table Storage vs. OpenEdge

System Properties Comparison Amazon Neptune vs. Kdb vs. LeanXcale vs. Microsoft Azure Table Storage vs. OpenEdge

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonKdb  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHigh performance Time Series DBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management system
Primary database modelGraph DBMS
RDF store
Time Series DBMS
Vector DBMS
Key-value store
Relational DBMS
Wide column storeRelational 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
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­neptunekx.comwww.leanxcale.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedge
Technical documentationaws.amazon.com/­neptune/­developer-resourcescode.kx.comdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAmazonKx Systems, a division of First Derivatives plcLeanXcaleMicrosoftProgress Software Corporation
Initial release20172000 infokdb was released 2000, kdb+ in 2003201520121984
Current release3.6, May 2018OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialcommercialcommercial
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 languageq
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
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.noyesnoyes
Secondary indexesnoyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLnoSQL-like query language (q)yes infothrough Apache Derbynoyes infoclose to SQL 92
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP APIJDBC
ODBC
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
Java
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersnoyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4
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 replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
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 ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
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 based on private key authentication or shared access signaturesUsers and groups
More information provided by the system vendor
Amazon NeptuneKdbLeanXcaleMicrosoft Azure Table StorageOpenEdge
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 NeptuneKdbLeanXcaleMicrosoft Azure Table StorageOpenEdge
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