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DBMS > Graphite vs. Hawkular Metrics vs. MonetDB vs. Spark SQL

System Properties Comparison Graphite vs. Hawkular Metrics vs. MonetDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMonetDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A relational database management system that stores data in columnsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webwww.hawkular.orgwww.monetdb.orgspark.apache.org/­sql
Technical documentationgraphite.readthedocs.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.monetdb.org/­Documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperChris DavisCommunity supported by Red HatMonetDB BVApache Software Foundation
Initial release2006201420042014
Current releaseDec2023 (11.49), December 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaCScala
Server operating systemsLinux
Unix
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data onlyyesyesyes
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 indexesnonoyesno
SQL infoSupport of SQLnonoyes infoSQL 2003 with some extensionsSQL-like DML and DDL statements
APIs and other access methodsHTTP API
Sockets
HTTP RESTJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Supported programming languagesJavaScript (Node.js)
Python
Go
Java
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes, in SQL, C, Rno
Triggersnoyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding via remote tablesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandranone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyes
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.nono
User concepts infoAccess controlnonofine grained access rights according to SQL-standardno

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More resources
GraphiteHawkular MetricsMonetDBSpark SQL
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