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DBMS > ArangoDB vs. Druid vs. Hawkular Metrics

System Properties Comparison ArangoDB vs. Druid vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonDruid  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionA multi-model DBMSOpen-source analytics data store designed for OLAP queries on timeseries dataHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.02
Rank#64  Overall
#12  Document stores
#4  Graph DBMS
#11  Key-value stores
#7  Search engines
Score1.79
Rank#117  Overall
#58  Relational DBMS
#7  Time Series DBMS
Score0.07
Rank#310  Overall
#24  Time Series DBMS
Websitewww.arangodb.comdruid.iowww.hawkular.org
Technical documentationwww.arangodb.com/­documentationdruid.io/­docs/­latest/­design/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperArangoDB GmbH / triagens GmbHMetamarkets Group and contributorsCommunity supported by Red Hat
Initial release201220122014
Current release3.5.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache license v2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Oasis: Built and supported by the creators of ArangoDB, Oasis provides fully hosted, managed, and monitored cluster deployments of any size, with enterprise-grade security.
Implementation languageC, C++, JavaScriptJavaJava
Server operating systemsLinux
OS X
Raspbian
Solaris
Windows
Linux
OS X
Unix
Linux
OS X
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyes infoschema-less columns are supportedschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyes
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 indexesyesyesno
SQL infoSupport of SQLnoSQL support via Apache Calcite adapterno
APIs and other access methodsHTTP API
JSON style queries
JSON over HTTPHTTP REST
Supported programming languagesC#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptnono
Triggersnonoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nono
User concepts infoAccess controlyesno infoavailable via extensionsno
More information provided by the system vendor
ArangoDBDruidHawkular Metrics
News

How we built our managed service on Kubernetes
25 October 2019

ArangoDB Hot Backup – Creating consistent cluster-wide snapshots
9 October 2019

ArangoML Pipeline – A Common Metadata Layer for Machine Learning Pipelines
25 September 2019

libgcc: When exceptions collide
19 September 2019

Multi-Model Database ArangoDB 3.5 released – Distributed Joins, Streaming Transactions, extended GraphDB & Search Capabilities
19 August 2019

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More resources
ArangoDBDruidHawkular Metrics
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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