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DBMS > Databricks vs. Hyprcubd vs. Realm vs. Valentina Server

System Properties Comparison Databricks vs. Hyprcubd vs. Realm vs. Valentina Server

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHyprcubd  Xexclude from comparisonRealm  Xexclude from comparisonValentina Server  Xexclude from comparison
Hyprcubd 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.Serverless Time Series DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataObject-relational database and reports server
Primary database modelDocument store
Relational DBMS
Time Series DBMSDocument storeRelational 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
Score7.60
Rank#52  Overall
#9  Document stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.databricks.comhyprcubd.com (offline)realm.iowww.valentina-db.net
Technical documentationdocs.databricks.comrealm.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDatabricksHyprcubd, Inc.Realm, acquired by MongoDB in May 2019Paradigma Software
Initial release201320141999
Current release5.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo
Server operating systemshostedhostedAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (https)ODBC
Supported programming languagesPython
R
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono inforuns within the applications so server-side scripts are unnecessaryyes
Triggersnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesno
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.nonoyes infoIn-Memory realmyes
User concepts infoAccess controltoken accessyesfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksHyprcubdRealmValentina Server
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksHyprcubdRealmValentina Server
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