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DBMS > 4D vs. Drizzle vs. GreptimeDB vs. Hawkular Metrics

System Properties Comparison 4D vs. Drizzle vs. GreptimeDB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDrizzle  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source Time Series DBMS built for increased scalability, high performance and efficiencyHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websitewww.4d.comgreptime.comwww.hawkular.org
Technical documentationdeveloper.4d.comdocs.greptime.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer4D, IncDrizzle project, originally started by Brian AkerGreptime Inc.Community supported by Red Hat
Initial release1984200820222014
Current releasev20, April 20237.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2.0Open 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 languageC++RustJava
Server operating systemsOS X
Windows
FreeBSD
Linux
OS X
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92yes infowith proprietary extensionsyesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCgRPC
HTTP API
JDBC
HTTP REST
Supported programming languages4D proprietary IDE
PHP
C
C++
Java
PHP
C++
Erlang
Go
Java
JavaScript
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnoPythonno
Triggersyesno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 controlUsers and groupsPluggable authentication mechanisms infoe.g. LDAP, HTTPSimple rights management via user accountsno
More information provided by the system vendor
4D infoformer name: 4th DimensionDrizzleGreptimeDBHawkular Metrics
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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4D infoformer name: 4th DimensionDrizzleGreptimeDBHawkular Metrics
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