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DBMS > Apache Doris vs. ArangoDB vs. Newts vs. Quasardb

System Properties Comparison Apache Doris vs. ArangoDB vs. Newts vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonArangoDB  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Time Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score3.30
Rank#82  Overall
#14  Document stores
#5  Graph DBMS
#10  Key-value stores
#10  Search engines
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
arangodb.comopennms.github.io/­newtsquasar.ai
Technical documentationgithub.com/­apache/­doris/­wikidocs.arangodb.comgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperApache Software Foundation, originally contributed from BaiduArangoDB Inc.OpenNMS Groupquasardb
Initial release2017201220142009
Current release1.2.2, February 20233.11.5, November 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-free infoautomatically recognizes schema within a collectionschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyesyes infointeger and binary
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 indexesyesyesnoyes infowith tags
SQL infoSupport of SQLyesnonoSQL-like query language
APIs and other access methodsJDBC
MySQL client
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
HTTP REST
Java API
HTTP API
Supported programming languagesJavaC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsJavaScriptnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infosince version 2.0Sharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with configurable replication factorselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache DorisArangoDBNewtsQuasardb
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
Apache DorisArangoDBNewtsQuasardb
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
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