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DBMS > Databricks vs. Ingres vs. Riak KV vs. Yanza

System Properties Comparison Databricks vs. Ingres vs. Riak KV vs. Yanza

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIngres  Xexclude from comparisonRiak KV  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it 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.Well established RDBMSDistributed, fault tolerant key-value storeTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series 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
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.databricks.comwww.actian.com/­databases/­ingresyanza.com
Technical documentationdocs.databricks.comdocs.actian.com/­ingreswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDatabricksActian CorporationOpenSource, formerly Basho TechnologiesYanza
Initial release20131974 infooriginally developed at University Berkely in early 1970s20092015
Current release11.2, May 20223.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2, commercial enterprise editioncommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCErlang
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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.yesno infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesrestrictedno
SQL infoSupport of SQLwith Databricks SQLyesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Native Erlang Interface
HTTP API
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
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesErlangno
Triggersyesyes infopre-commit hooks and post-commit hooksyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesyesIngres Replicatorselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, using Riak Securityno
More information provided by the system vendor
DatabricksIngresRiak KVYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksIngresRiak KVYanza
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