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DBMS > Hawkular Metrics vs. Riak KV vs. Tarantool vs. TimescaleDB

System Properties Comparison Hawkular Metrics vs. Riak KV vs. Tarantool vs. TimescaleDB

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonRiak KV  Xexclude from comparisonTarantool  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed, fault tolerant key-value storeIn-memory database with an integrated application serverA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeTime Series DBMS
Secondary database modelsDocument store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#332  Overall
#32  Time Series DBMS
Score6.09
Rank#64  Overall
#7  Key-value stores
Score1.58
Rank#137  Overall
#25  Key-value stores
Score4.22
Rank#82  Overall
#5  Time Series DBMS
Websitewww.hawkular.orgriak.com/­products/­riak-kvwww.tarantool.iowww.timescale.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.tarantool.io/­en/­docdocs.timescale.com
DeveloperCommunity supported by Red HatBasho TechnologiesMail.ru GroupTimescale
Initial release2014200920082017
Current release2.1.0, April 20152.4.2, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC and C++C
Server operating systemsLinux
OS X
Windows
Linux
OS X
BSD
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesnostring, double, decimal, uuid, integer, blob, booleannumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesnorestrictedyesyes
SQL infoSupport of SQLnonoFull-featured ANSI SQL supportyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP RESTHTTP API
Native Erlang Interface
Open binary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoJavaScript and ErlangLua, C and SQL stored proceduresuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infovia Hawkular Alertingyes infopre-commit hooks and post-commit hooksyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infono "single point of failure"Hash sharding based on virtual bucketsyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedyes, with SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyes, regular snapshots on disk, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, full featured in-memory storage engine with persistenceno
User concepts infoAccess controlnonoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Hawkular MetricsRiak KVTarantoolTimescaleDB
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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