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DBMS > Databricks vs. LokiJS vs. Sequoiadb vs. Valentina Server

System Properties Comparison Databricks vs. LokiJS vs. Sequoiadb vs. Valentina Server

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonLokiJS  Xexclude from comparisonSequoiadb  Xexclude from comparisonValentina Server  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.In-memory JavaScript DBMSNewSQL database with distributed OLTP and SQLObject-relational database and reports server
Primary database modelDocument store
Relational DBMS
Document storeDocument store
Relational DBMS
Relational 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
Score0.43
Rank#264  Overall
#42  Document stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.databricks.comgithub.com/­techfort/­LokiJSwww.sequoiadb.comwww.valentina-db.net
Technical documentationdocs.databricks.comtechfort.github.io/­LokiJSwww.sequoiadb.com/­en/­index.php?m=Files&a=indexvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDatabricksSequoiadb Ltd.Paradigma Software
Initial release2013201420131999
Current release5.7.5
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes infooid, date, timestamp, binary, regexyes
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 indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JavaScript APIproprietary protocol using JSONODBC
Supported programming languagesPython
R
Scala
JavaScript.Net
C++
Java
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions and aggregatesView functions in JavaScriptJavaScriptyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnosimple password-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksLokiJSSequoiadbValentina Server
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksLokiJSSequoiadbValentina Server
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