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DBMS > Apache Druid vs. GeoSpock vs. Hawkular Metrics vs. OushuDB

System Properties Comparison Apache Druid vs. GeoSpock vs. Hawkular Metrics vs. OushuDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOushuDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSpatial and temporal data processing engine for extreme data scaleHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Websitedruid.apache.orggeospock.comwww.hawkular.orgwww.oushu.com/­product/­oushuDB
Technical documentationdruid.apache.org/­docs/­latest/­designwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.oushu.com/­documentation
DeveloperApache Software Foundation and contributorsGeoSpockCommunity supported by Red HatOushu
Initial release20122014
Current release29.0.1, April 20242.0, September 20194.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJava
Server operating systemsLinux
OS X
Unix
hostedLinux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyestemporal, categoricalnoyes
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)noFull-featured ANSI SQL support
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCHTTP RESTJDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
Ruby
C
C++
Server-side scripts infoStored proceduresnononoyes
Triggersnonoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingSharding infobased on Cassandrayes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 datanononoACID
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.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per tablenoKerberos, SSL and role based access

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More resources
Apache DruidGeoSpockHawkular MetricsOushuDB
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