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DBMS > AlaSQL vs. PlanetScale vs. Postgres-XL vs. Splice Machine

System Properties Comparison AlaSQL vs. PlanetScale vs. Postgres-XL vs. Splice Machine

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonPlanetScale  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS libraryScalable, distributed, serverless MySQL database platform built on top of VitessBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitealasql.orgplanetscale.comwww.postgres-xl.orgsplicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqlplanetscale.com/­docswww.postgres-xl.org/­documentationsplicemachine.com/­how-it-works
DeveloperAndrey Gershun & Mathias R. WulffPlanetScaleSplice Machine
Initial release201420202014 infosince 2012, originally named StormDB2014
Current release10 R1, October 20183.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoMozilla public licenseOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptGoCJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Linux
macOS
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes infowith proprietary extensionsyes infodistributed, parallel query executionyes
APIs and other access methodsJavaScript APIADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxuser defined functionsyes infoJava
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACID at shard levelACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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AlaSQLPlanetScalePostgres-XLSplice Machine
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