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DBMS > LeanXcale vs. Linter vs. Microsoft Azure Table Storage vs. Percona Server for MongoDB vs. PlanetScale

System Properties Comparison LeanXcale vs. Linter vs. Microsoft Azure Table Storage vs. Percona Server for MongoDB vs. PlanetScale

Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesRDBMS for high security requirementsA Wide Column Store for rapid development using massive semi-structured datasetsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Scalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelKey-value store
Relational DBMS
Relational DBMSWide column storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.52
Rank#254  Overall
#39  Document stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitewww.leanxcale.comlinter.ruazure.microsoft.com/­en-us/­services/­storage/­tableswww.percona.com/­mongodb/­software/­percona-server-for-mongodbplanetscale.com
Technical documentationdocs.percona.com/­percona-distribution-for-mongodbplanetscale.com/­docs
DeveloperLeanXcalerelex.ruMicrosoftPerconaPlanetScale
Initial release20151990201220152020
Current release3.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++Go
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hostedLinuxDocker
Linux
macOS
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyes infothrough Apache Derbyyesnonoyes infowith proprietary extensions
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP APIproprietary protocol using JSONADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
Java
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLnoJavaScriptyes infoproprietary syntax
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infovia In-Memory Engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
LeanXcaleLinterMicrosoft Azure Table StoragePercona Server for MongoDBPlanetScale
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