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DBMS > Amazon Neptune vs. IBM Db2 Event Store vs. Postgres-XL vs. Valentina Server

System Properties Comparison Amazon Neptune vs. IBM Db2 Event Store vs. Postgres-XL vs. Valentina Server

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPostgres-XL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDistributed Event Store optimized for Internet of Things use casesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresObject-relational database and reports server
Primary database modelGraph DBMS
RDF store
Event Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­neptunewww.ibm.com/­products/­db2-event-storewww.postgres-xl.orgwww.valentina-db.net
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.ibm.com/­docs/­en/­db2-event-storewww.postgres-xl.org/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonIBMParadigma Software
Initial release201720172014 infosince 2012, originally named StormDB1999
Current release2.010 R1, October 20185.7.5
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyes infodistributed, parallel query executionyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesuser defined functionsyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
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.Active-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyes infowith encyption-at-restYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
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)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneIBM Db2 Event StorePostgres-XLValentina Server
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