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DBMS > HBase vs. LokiJS vs. PlanetScale vs. Sequoiadb vs. Valentina Server

System Properties Comparison HBase vs. LokiJS vs. PlanetScale vs. Sequoiadb vs. Valentina Server

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonLokiJS  Xexclude from comparisonPlanetScale  Xexclude from comparisonSequoiadb  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableIn-memory JavaScript DBMSScalable, distributed, serverless MySQL database platform built on top of VitessNewSQL database with distributed OLTP and SQLObject-relational database and reports server
Primary database modelWide column storeDocument storeRelational DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.49
Rank#260  Overall
#42  Document stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitehbase.apache.orggithub.com/­techfort/­LokiJSplanetscale.comwww.sequoiadb.comwww.valentina-db.net
Technical documentationhbase.apache.org/­book.htmltechfort.github.io/­LokiJSplanetscale.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetPlanetScaleSequoiadb Ltd.Paradigma Software
Initial release20082014202020131999
Current release2.3.4, January 20215.7.5
License infoCommercial or Open SourceOpen Source infoApache version 2Open SourcecommercialOpen Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptGoC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
LinuxLinux
OS X
Windows
Data schemeschema-free, schema definition possibleschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyesyes 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.nonono
Secondary indexesnoyes infovia viewsyesyesyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsSQL-like query languageyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JavaScript APIADO.NET
JDBC
MySQL protocol
ODBC
proprietary protocol using JSONODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Java
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaView functions in JavaScriptyes infoproprietary syntaxJavaScriptyes
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)no infoatomic operations within a single collection possibleACID at shard levelDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
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.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoUsers with fine-grained authorization concept infono user groups or rolessimple password-based access controlfine grained access rights according to SQL-standard

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More resources
HBaseLokiJSPlanetScaleSequoiadbValentina Server
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