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

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

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonGreenplum  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKairosDB  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.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.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 H2
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMSTime Series 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
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitewww.databricks.comgreenplum.orgwww.hawkular.orggithub.com/­kairosdb/­kairosdb
Technical documentationdocs.databricks.comdocs.greenplum.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidekairosdb.github.io
DeveloperDatabricksDrizzle project, originally started by Brian AkerPivotal Software Inc.Community supported by Red Hat
Initial release20132008200520142013
Current release7.2.4, September 20127.0.0, September 20231.2.2, November 2018
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0
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++JavaJava
Server operating systemshostedFreeBSD
Linux
OS X
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeschema-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.yesyes infosince Version 4.2nono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLwith Databricks SQLyes infowith proprietary extensionsyesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
HTTP RESTGraphite protocol
HTTP REST
Telnet API
Supported programming languagesPython
R
Scala
C
C++
Java
PHP
C
Java
Perl
Python
R
Go
Java
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesnono
Triggersno infohooks for callbacks inside the server can be used.yesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infobased on Cassandraselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardnosimple password-based access control
More information provided by the system vendor
DatabricksDrizzleGreenplumHawkular MetricsKairosDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDrizzleGreenplumHawkular MetricsKairosDB
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