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DBMS > Apache Druid vs. Hawkular Metrics vs. Qdrant vs. SiteWhere

System Properties Comparison Apache Druid vs. Hawkular Metrics vs. Qdrant vs. SiteWhere

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonQdrant  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high-performance vector database with neural network or semantic-based matchingM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitedruid.apache.orgwww.hawkular.orggithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­sitewhere/­sitewhere
Technical documentationdruid.apache.org/­docs/­latest/­designwww.hawkular.org/­hawkular-metrics/­docs/­user-guideqdrant.tech/­documentationsitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation and contributorsCommunity supported by Red HatQdrantSiteWhere
Initial release2012201420212010
Current release29.0.1, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0
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 languageJavaJavaRustJava
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyes
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.nononono
Secondary indexesyesnoyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLSQL for queryingnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP RESTgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnono
Triggersnoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infobased on CassandraShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on CassandraCollection-level replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoKey-based authenticationUsers with fine-grained authorization concept

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More resources
Apache DruidHawkular MetricsQdrantSiteWhere
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