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DBMS > Databricks vs. GeoMesa vs. Riak KV

System Properties Comparison Databricks vs. GeoMesa vs. Riak KV

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeoMesa  Xexclude from comparisonRiak KV  Xexclude from comparison
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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Distributed, fault tolerant key-value store
Primary database modelDocument store
Relational DBMS
Spatial 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
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.databricks.comwww.geomesa.org
Technical documentationdocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDatabricksCCRi and othersOpenSource, formerly Basho Technologies
Initial release201320142009
Current release4.0.5, February 20243.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaErlang
Server operating systemshostedLinux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyesyesrestricted
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesPython
R
Scala
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 aggregatesnoErlang
Triggersnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layer
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes, using Riak Security
More information provided by the system vendor
DatabricksGeoMesaRiak KV
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGeoMesaRiak KV
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