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DBMS > Hawkular Metrics vs. Lovefield vs. SAP SQL Anywhere vs. Sequoiadb vs. VictoriaMetrics

System Properties Comparison Hawkular Metrics vs. Lovefield vs. SAP SQL Anywhere vs. Sequoiadb vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonLovefield  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSequoiadb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Embeddable relational database for web apps written in pure JavaScriptRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsNewSQL database with distributed OLTP and SQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.hawkular.orggoogle.github.io/­lovefieldwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.sequoiadb.comvictoriametrics.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdhelp.sap.com/­docs/­SAP_SQL_Anywherewww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCommunity supported by Red HatGoogleSAP infoformerly SybaseSequoiadb Ltd.VictoriaMetrics
Initial release20142014199220132018
Current release2.1.12, February 201717, July 2015v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2.0
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 languageJavaJavaScriptC++Go
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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.nonoyesnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyesSQL-like query languageno
APIs and other access methodsHTTP RESTADO.NET
HTTP API
JDBC
ODBC
proprietary protocol using JSONGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGo
Java
Python
Ruby
JavaScriptC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes, in C/C++, Java, .Net or PerlJavaScriptno
Triggersyes infovia Hawkular AlertingUsing read-only observersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneSource-replica replication infoDatabase mirroringSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByesnono
User concepts infoAccess controlnonofine grained access rights according to SQL-standardsimple password-based access control

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More resources
Hawkular MetricsLovefieldSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSequoiadbVictoriaMetrics
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