DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Drizzle vs. Hawkular Metrics vs. HBase

System Properties Comparison Drizzle vs. Hawkular Metrics vs. HBase

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelRelational DBMSTime Series DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#353  Overall
#32  Time Series DBMS
Score38.41
Rank#26  Overall
#2  Wide column stores
Websitewww.hawkular.orghbase.apache.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org
DeveloperDrizzle project, originally started by Brian AkerCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release200820142008
Current release7.2.4, September 20122.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Data schemeyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVRO
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.nono
Secondary indexesyesnono
SQL infoSupport of SQLyes infowith proprietary extensionsnono
APIs and other access methodsJDBCHTTP RESTJava API
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Java
Triggersno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DrizzleHawkular MetricsHBase
DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021,  Krishna Maheshwari (sponsor) 

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived ...
5 June 2019, DevClass

Security Bulletin 26 Oct 2022
26 October 2022, Cyber Security Agency of Singapore

Security Bulletin 19 Oct 2022
19 October 2022, Cyber Security Agency of Singapore

5 DevOps Tools for Logging and Monitoring
31 January 2017, Linux.com

Interview with Tim Fox About Vert.x 3, the Original Reactive ...
22 June 2015, InfoQ.com

provided by Google News

5 Reasons Data Security Works Best with Open Standards
1 February 2023, CIO

What Is HBase? (Definition, Uses, Benefits, Features)
22 December 2022, Built In

Value Stores Market : Strong Momentum and Growth Seen Ahead ...
18 January 2023, Digital Journal

Reinventing Sprout Social’s approach to big data
15 November 2022, Sprout Social

Review: HBase is massively scalable -- and hugely complex
31 March 2014, InfoWorld

provided by Google News

Job opportunities

Software Engineer, Fintech (Remote)
Hopper, Remote

Database Administrator (Clearance Rq'd)
LOCKHEED MARTIN CORPORATION, Herndon, VA

Hadoop Admin
TekValue IT Solutions, Remote

Production Support Specialist
Integration Developer Network LLC, Remote

Data Scientist
Source Enterprises, New York, NY

jobs by Indeed



Share this page

Featured Products

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Redis logo

The world’s most loved real‑time data platform.
Try free

Present your product here