DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Databricks vs. Drizzle vs. Hawkular Metrics vs. KairosDB vs. Vitess

System Properties Comparison Databricks vs. Drizzle vs. Hawkular Metrics vs. KairosDB vs. Vitess

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKairosDB  Xexclude from comparisonVitess  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.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.MySQL 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.Distributed Time Series DBMS based on Cassandra or H2Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.databricks.comwww.hawkular.orggithub.com/­kairosdb/­kairosdbvitess.io
Technical documentationdocs.databricks.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidekairosdb.github.iovitess.io/­docs
DeveloperDatabricksDrizzle project, originally started by Brian AkerCommunity supported by Red HatThe Linux Foundation, PlanetScale
Initial release20132008201420132013
Current release7.2.4, September 20121.2.2, November 201815.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaGo
Server operating systemshostedFreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-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.yesnono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLwith Databricks SQLyes infowith proprietary extensionsnonoyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCHTTP RESTGraphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesPython
R
Scala
C
C++
Java
PHP
Go
Java
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
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 proceduresuser defined functions and aggregatesnononoyes infoproprietary syntax
Triggersno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandraselectable 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 systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnosimple password-based access controlUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
DatabricksDrizzleHawkular MetricsKairosDBVitess
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DatabricksDrizzleHawkular MetricsKairosDBVitess
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

show all

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Recent citations in the news

Databricks Agrees to Acquire Tabular, the Company Founded by the Original Creators of Apache Iceberg USA - English
4 June 2024, PR Newswire

Databricks buys Tabular to win the Iceberg war – Blocks and Files
5 June 2024, Blocks and Files

Databricks to buy data management firm Tabular for over $1 bln
4 June 2024, Reuters

Fenwick Represents Databricks in its Pending Acquisition of…
4 June 2024, Fenwick & West LLP

Databricks' $1B Tabular buy raises questions around table format wars
5 June 2024, The Register

provided by Google News

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS
5 June 2019, DevClass

provided by Google News

Real-Time Performance and Health Monitoring Using Netdata
2 September 2019, CNX Software

provided by Google News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here