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DBMS > Hawkular Metrics vs. InfluxDB vs. Microsoft Azure SQL Database vs. Splice Machine vs. Ultipa

System Properties Comparison Hawkular Metrics vs. InfluxDB vs. Microsoft Azure SQL Database vs. Splice Machine vs. Ultipa

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSplice Machine  Xexclude from comparisonUltipa  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 metricsDatabase as a Service offering with high compatibility to Microsoft SQL ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websitewww.hawkular.orgwww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­en-us/­products/­azure-sql/­databasesplicemachine.comwww.ultipa.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­azure-sqlsplicemachine.com/­how-it-workswww.ultipa.com/­document
DeveloperCommunity supported by Red HatMicrosoftSplice MachineUltipa
Initial release20142013201020142019
Current release2.7.6, April 2024V123.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++Java
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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.nonoyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes
APIs and other access methodsHTTP RESTHTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoTransact SQLyes infoJava
Triggersyes infovia Hawkular Alertingnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoin enterprise version onlyShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factor infoin enterprise version onlyyes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
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 accountsfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Hawkular MetricsInfluxDBMicrosoft Azure SQL Database infoformerly SQL AzureSplice MachineUltipa
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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