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DBMS > Apache Druid vs. FatDB vs. Hawkular Metrics vs. PouchDB vs. RisingWave

System Properties Comparison Apache Druid vs. FatDB vs. Hawkular Metrics vs. PouchDB vs. RisingWave

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFatDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPouchDB  Xexclude from comparisonRisingWave  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionOpen-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.JavaScript DBMS with an API inspired by CouchDBA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Time Series DBMSDocument storeRelational 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
Score2.28
Rank#115  Overall
#21  Document stores
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitedruid.apache.orgwww.hawkular.orgpouchdb.comwww.risingwave.com/­database
Technical documentationdruid.apache.org/­docs/­latest/­designwww.hawkular.org/­hawkular-metrics/­docs/­user-guidepouchdb.com/­guidesdocs.risingwave.com/­docs/­current/­intro
DeveloperApache Software Foundation and contributorsFatCloudCommunity supported by Red HatApache Software FoundationRisingWave Labs
Initial release20122012201420122022
Current release29.0.1, April 20247.1.1, June 20191.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#JavaJavaScriptRust
Server operating systemsLinux
OS X
Unix
WindowsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoStandard SQL-types and JSON
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 indexesyesyesnoyes infovia viewsyes
SQL infoSupport of SQLSQL for queryingno infoVia inetgration in SQL Servernonoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP RESTHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
PostgreSQL wire protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#Go
Java
Python
Ruby
JavaScriptGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infovia applicationsnoView functions in JavaScriptUDFs in Python or Java
Triggersnoyes infovia applicationsyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoCan implement custom security layer via applicationsnonoUsers and Roles

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More resources
Apache DruidFatDBHawkular MetricsPouchDBRisingWave
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