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DBMS > Amazon Neptune vs. Infobright vs. MonetDB vs. TimesTen

System Properties Comparison Amazon Neptune vs. Infobright vs. MonetDB vs. TimesTen

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonInfobright  Xexclude from comparisonMonetDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA relational database management system that stores data in columnsIn-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteaws.amazon.com/­neptuneignitetech.com/­softwarelibrary/­infobrightdbwww.monetdb.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.monetdb.org/­Documentationdocs.oracle.com/­database/­timesten-18.1
DeveloperAmazonIgnite Technologies Inc.; formerly InfoBright Inc.MonetDB BVOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2017200520041998
Current releaseDec2023 (11.49), December 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC
Server operating systemshostedLinux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
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.nonono
Secondary indexesnono infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLnoyesyes infoSQL 2003 with some extensionsyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoyes, in SQL, C, RPL/SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding via remote tablesnone
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 replicationnone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
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-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneInfobrightMonetDBTimesTen
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