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DBMS > Databricks vs. KeyDB vs. Realm vs. STSdb vs. Yanza

System Properties Comparison Databricks vs. KeyDB vs. Realm vs. STSdb vs. Yanza

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonKeyDB  Xexclude from comparisonRealm  Xexclude from comparisonSTSdb  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.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Key-value storeDocument storeKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score7.60
Rank#52  Overall
#9  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.databricks.comgithub.com/­Snapchat/­KeyDB
keydb.dev
realm.iogithub.com/­STSSoft/­STSdb4yanza.com
Technical documentationdocs.databricks.comdocs.keydb.devrealm.io/­docs
DeveloperDatabricksEQ Alpha Technology Ltd.Realm, acquired by MongoDB in May 2019STS Soft SCYanza
Initial release20132019201420112015
Current release4.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open SourceOpen Source infoGPLv2, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono 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 languageC++C#
Server operating systemshostedLinuxAndroid
Backend: server-less
iOS
Windows
WindowsWindows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesschema-free
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes infoprimitive types and user defined types (classes)no
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 indexesyesyes infoby using the Redis Search moduleyesnono
SQL infoSupport of SQLwith Databricks SQLnononono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization Protoco.NET Client APIHTTP API
Supported programming languagesPython
R
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions and aggregatesLuano inforuns within the applications so server-side scripts are unnecessarynono
Triggersnoyes infoChange Listenersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
nonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-Memory realm
User concepts infoAccess controlsimple password-based access control and ACLyesnono
More information provided by the system vendor
DatabricksKeyDBRealmSTSdbYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksKeyDBRealmSTSdbYanza
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