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DBMS > PlanetScale vs. Splice Machine vs. Sqrrl vs. ToroDB

System Properties Comparison PlanetScale vs. Splice Machine vs. Sqrrl vs. ToroDB

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Editorial information provided by DB-Engines
NamePlanetScale  Xexclude from comparisonSplice Machine  Xexclude from comparisonSqrrl  Xexclude from comparisonToroDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable, distributed, serverless MySQL database platform built on top of VitessOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAdaptable, secure NoSQL built on Apache AccumuloA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteplanetscale.comsplicemachine.comsqrrl.comgithub.com/­torodb/­server
Technical documentationplanetscale.com/­docssplicemachine.com/­how-it-works
DeveloperPlanetScaleSplice MachineAmazon infooriginally Sqrrl Data, Inc.8Kdata
Initial release2020201420122016
Current release3.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availablecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaJava
Server operating systemsDocker
Linux
macOS
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java 7 VM
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_id
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesno
APIs and other access methodsADO.NET
JDBC
MySQL protocol
ODBC
JDBC
Native Spark Datasource
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infoproprietary syntaxyes infoJavano
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar PartitioningSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
selectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at shard levelACIDAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyes, multi-version concurrency control (MVCC)yesyes
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.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and roles

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More resources
PlanetScaleSplice MachineSqrrlToroDB
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Amazon's cloud business acquires Sqrrl, a security start-up with NSA roots
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