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DBMS > Hawkular Metrics vs. InfluxDB vs. Redis

System Properties Comparison Hawkular Metrics vs. InfluxDB vs. Redis

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonInfluxDB  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.DBMS for storing time series, events and metricsIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelTime Series DBMSTime Series DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#314  Overall
#27  Time Series DBMS
Score22.88
Rank#29  Overall
#1  Time Series DBMS
Score152.87
Rank#7  Overall
#1  Key-value stores
Websitewww.hawkular.orgwww.influxdata.com/­products/­influxdb-overviewredis.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.influxdata.com/­influxdbredis.io/­documentation
DeveloperCommunity supported by Red HatSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release201420132009
Current release1.8.0, April 20206.0.6, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoBSD 3-Clause, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringspartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesnonoyes infowith RediSearch module
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsHTTP RESTHTTP API
JSON over UDP
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesGo
Java
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresnonoLua
Triggersyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factor infoin enterprise version onlyMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyes
User concepts infoAccess controlnosimple rights management via user accountsSimple password-based access control infoAccess control lists and SSL are available in the commercial version
More information provided by the system vendor
Hawkular MetricsInfluxDBRedis
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

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More resources
Hawkular MetricsInfluxDBRedis
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