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DBMS > Apache Druid vs. Hawkular Metrics vs. LevelDB vs. openGauss

System Properties Comparison Apache Druid vs. Hawkular Metrics vs. LevelDB vs. openGauss

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLevelDB  Xexclude from comparisonopenGauss  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score2.25
Rank#115  Overall
#19  Key-value stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitedruid.apache.orgwww.hawkular.orggithub.com/­google/­leveldbgitee.com/­opengauss
opengauss.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software Foundation and contributorsCommunity supported by Red HatGoogleHuawei and openGauss community
Initial release2012201420112019
Current release29.0.1, April 20241.23, February 20213.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C, C++, Java
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesnonoyes
SQL infoSupport of SQLSQL for queryingnonoANSI SQL 2011
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP RESTJDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Java
Server-side scripts infoStored proceduresnononoyes
Triggersnoyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infobased on Cassandranonehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on CassandranoneSource-replica replication
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
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
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 persistentyesyesyes infowith automatic compression on writesyes
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 systemnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DruidHawkular MetricsLevelDBopenGauss
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