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DBMS > Databricks vs. Drizzle vs. Hawkular Metrics vs. KairosDB vs. Riak KV

System Properties Comparison Databricks vs. Drizzle vs. Hawkular Metrics vs. KairosDB vs. Riak KV

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKairosDB  Xexclude from comparisonRiak KV  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 H2Distributed, fault tolerant key-value store
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.databricks.comwww.hawkular.orggithub.com/­kairosdb/­kairosdb
Technical documentationdocs.databricks.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidekairosdb.github.iowww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDatabricksDrizzle project, originally started by Brian AkerCommunity supported by Red HatOpenSource, formerly Basho Technologies
Initial release20132008201420132009
Current release7.2.4, September 20121.2.2, November 20183.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaErlang
Server operating systemshostedFreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnonono
Secondary indexesyesyesnonorestricted
SQL infoSupport of SQLwith Databricks SQLyes infowith proprietary extensionsnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCHTTP RESTGraphite protocol
HTTP REST
Telnet API
HTTP API
Native Erlang Interface
Supported programming languagesPython
R
Scala
C
C++
Java
PHP
Go
Java
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesnononoErlang
Triggersno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infobased on CassandraSharding infono "single point of failure"
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 Cassandraselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
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
Foreign keys infoReferential integrityyesnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
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.nonono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnosimple password-based access controlyes, using Riak Security
More information provided by the system vendor
DatabricksDrizzleHawkular MetricsKairosDBRiak KV
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDrizzleHawkular MetricsKairosDBRiak KV
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