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DBMS > Amazon Neptune vs. Kyligence Enterprise vs. OrigoDB vs. Prometheus vs. Riak TS

System Properties Comparison Amazon Neptune vs. Kyligence Enterprise vs. OrigoDB vs. Prometheus vs. Riak TS

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA distributed analytics engine for big data, built on top of Apache KylinA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring systemRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Object oriented DBMS
Time Series DBMSTime Series 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
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websiteaws.amazon.com/­neptunekyligence.io/­kyligence-enterpriseorigodb.comprometheus.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesorigodb.com/­docsprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAmazonKyligence, Inc.Robert Friberg et alOpen Source, formerly Basho Technologies
Initial release201720162009 infounder the name LiveDB20152015
Current release3.0.0, September 2022
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#GoErlang
Server operating systemshostedLinuxLinux
Windows
Linux
Windows
Linux
OS X
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsNumeric data onlyno
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 infocan be achieved using .NETno infoImport of XML data possibleno
Secondary indexesnoyesyesnorestricted
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)nonoyes, limited
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyesnoErlang
Triggersnoyes infoDomain Eventsnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding
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 infoby Federationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsdepending on modelnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role based authorizationnono

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More resources
Amazon NeptuneKyligence EnterpriseOrigoDBPrometheusRiak TS
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