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DBMS > ArangoDB vs. GreptimeDB vs. Realm vs. Valentina Server

System Properties Comparison ArangoDB vs. GreptimeDB vs. Realm vs. Valentina Server

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRealm  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.An open source Time Series DBMS built for increased scalability, high performance and efficiencyA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataObject-relational database and reports server
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Time Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitearangodb.comgreptime.comrealm.iowww.valentina-db.net
Technical documentationdocs.arangodb.comdocs.greptime.comrealm.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.Greptime Inc.Realm, acquired by MongoDB in May 2019Paradigma Software
Initial release2012202220141999
Current release3.11.5, November 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache Version 2.0Open Sourcecommercial
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.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++Rust
Server operating systemsLinux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
gRPC
HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C++
Erlang
Go
Java
JavaScript
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresJavaScriptPythonno inforuns within the applications so server-side scripts are unnecessaryyes
Triggersnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmyes
User concepts infoAccess controlyesSimple rights management via user accountsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
ArangoDBGreptimeDBRealmValentina Server
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
For IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
GreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
ArangoDBGreptimeDBRealmValentina Server
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