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DBMS > Amazon Neptune vs. Oracle NoSQL vs. Prometheus vs. SiriDB vs. Spark SQL

System Properties Comparison Amazon Neptune vs. Oracle NoSQL vs. Prometheus vs. SiriDB vs. Spark SQL

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPrometheus  Xexclude from comparisonSiriDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen-source Time Series DBMS and monitoring systemOpen Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMS
Time Series DBMSTime Series DBMSRelational 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
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­neptunewww.oracle.com/­database/­nosql/­technologies/­nosqlprometheus.iosiridb.comspark.apache.org/­sql
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlprometheus.io/­docsdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonOracleCesbitApache Software Foundation
Initial release20172011201520172014
Current release24.1, May 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoCScala
Server operating systemshostedLinux
Solaris SPARC/x86
Linux
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesyesyes
Typing infopredefined data types such as float or dateyesoptionalNumeric data onlyyes infoNumeric datayes
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 infoImport of XML data possiblenono
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonoSQL-like DML and DDL statements
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIRESTful HTTP/JSON APIHTTP APIJDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingyes, utilizing Spark Core
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.Electable source-replica replication per shard. Support distributed global deployment with Multi-region table featureyes infoby Federationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
none
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDconfigurable infoACID within a storage node (=shard)nonono
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.yes infooff heap cachenoyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesnosimple rights management via user accountsno

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More resources
Amazon NeptuneOracle NoSQLPrometheusSiriDBSpark SQL
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