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DBMS > Hawkular Metrics vs. Prometheus vs. Riak TS vs. Solr vs. Sqrrl

System Properties Comparison Hawkular Metrics vs. Prometheus vs. Riak TS vs. Solr vs. Sqrrl

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak TS  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open-source Time Series DBMS and monitoring systemRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.hawkular.orgprometheus.iosolr.apache.orgsqrrl.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestsolr.apache.org/­resources.html
DeveloperCommunity supported by Red HatOpen Source, formerly Basho TechnologiesApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.
Initial release20142015201520062012
Current release3.0.0, September 20229.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open SourceOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoErlangJavaJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlynoyes infosupports customizable data types and automatic typingyes
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 infoImport of XML data possiblenoyes
Secondary indexesnonorestrictedyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoyes, limitedSolr Parallel SQL Interfaceno
APIs and other access methodsHTTP RESTRESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Java API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoErlangJava pluginsno
Triggersyes infovia Hawkular Alertingnoyes infopre-commit hooks and post-commit hooksyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoby Federationselectable replication factoryesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneEventual ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonono infolinks between datasets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononooptimistic lockingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnononoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Hawkular MetricsPrometheusRiak TSSolrSqrrl
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