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DBMS > Apache Druid vs. CockroachDB vs. Galaxybase vs. Hawkular Metrics

System Properties Comparison Apache Druid vs. CockroachDB vs. Galaxybase vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCockroachDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Scalable, ACID-compliant native distributed parallel graph platformHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Websitedruid.apache.orgwww.cockroachlabs.comgalaxybase.comwww.hawkular.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.cockroachlabs.com/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperApache Software Foundation and contributorsCockroach LabsChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Community supported by Red Hat
Initial release2012201520172014
Current release30.0.0, June 202424.1.0, May 2024Nov 20, November 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC and JavaJava
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
LinuxLinux
OS X
Windows
Data schemeyes infoschema-less columns are supporteddynamic schemaStrong typed schemaschema-free
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingyes, wire compatible with PostgreSQLnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
HTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Go
Java
Python
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined procedures and functionsno
Triggersnonoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication using RAFTselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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 systemRole-based access controlRole-based access controlno

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More resources
Apache DruidCockroachDBGalaxybaseHawkular Metrics
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