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DBMS > AgensGraph vs. Prometheus vs. Realm vs. ReductStore

System Properties Comparison AgensGraph vs. Prometheus vs. Realm vs. ReductStore

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonPrometheus  Xexclude from comparisonRealm  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLOpen-source Time Series DBMS and monitoring systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelGraph DBMS
Relational DBMS
Time Series DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitebitnine.net/­agensgraphprometheus.iorealm.iogithub.com/­reductstore
www.reduct.store
Technical documentationbitnine.net/­documentationprometheus.io/­docsrealm.io/­docswww.reduct.store/­docs
DeveloperBitnine Global Inc.Realm, acquired by MongoDB in May 2019ReductStore LLC
Initial release2016201520142023
Current release2.1, December 20181.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open SourceOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++, Rust
Server operating systemsLinux
OS X
Windows
Linux
Windows
Android
Backend: server-less
iOS
Windows
Docker
Linux
macOS
Windows
Data schemedepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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.nono infoImport of XML data possibleno
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnono
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP/JSON APIHTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesnono inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes

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