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DBMS > Amazon Redshift vs. Apache Druid vs. FatDB vs. Hawkular Metrics

System Properties Comparison Amazon Redshift vs. Apache Druid vs. FatDB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Druid  Xexclude from comparisonFatDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA .NET NoSQL DBMS that can integrate with and extend SQL Server.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Document store
Key-value store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websiteaws.amazon.com/­redshiftdruid.apache.orgwww.hawkular.org
Technical documentationdocs.aws.amazon.com/­redshiftdruid.apache.org/­docs/­latest/­designwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation and contributorsFatCloudCommunity supported by Red Hat
Initial release2012201220122014
Current release29.0.1, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC#Java
Server operating systemshostedLinux
OS X
Unix
WindowsLinux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedschema-freeschema-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.nonono
Secondary indexesrestrictedyesyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL for queryingno infoVia inetgration in SQL Serverno
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBCClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#Go
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes infovia applicationsno
Triggersnonoyes infovia applicationsyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesselectable replication factorselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoCan implement custom security layer via applicationsno

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More resources
Amazon RedshiftApache DruidFatDBHawkular Metrics
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