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DBMS > Dolt vs. Drizzle vs. Hawkular Metrics vs. PlanetScale

System Properties Comparison Dolt vs. Drizzle vs. Hawkular Metrics vs. PlanetScale

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPlanetScale  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.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.hawkular.orgplanetscale.com
Technical documentationdocs.dolthub.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guideplanetscale.com/­docs
DeveloperDoltHub IncDrizzle project, originally started by Brian AkerCommunity supported by Red HatPlanetScale
Initial release2018200820142020
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++JavaGo
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
OS X
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesyesschema-freeyes
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.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyes infowith proprietary extensions
APIs and other access methodsCLI Client
HTTP REST
JDBCHTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
PHP
Go
Java
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenonoyes infoproprietary syntax
Triggersyesno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupPluggable authentication mechanisms infoe.g. LDAP, HTTPnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
DoltDrizzleHawkular MetricsPlanetScale
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