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DBMS > Percona Server for MongoDB vs. Spark SQL vs. STSdb vs. SurrealDB

System Properties Comparison Percona Server for MongoDB vs. Spark SQL vs. STSdb vs. SurrealDB

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Editorial information provided by DB-Engines
NamePercona Server for MongoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument storeRelational DBMSKey-value storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#246  Overall
#39  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.percona.com/­mongodb/­software/­percona-server-for-mongodbspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4surrealdb.com
Technical documentationdocs.percona.com/­percona-distribution-for-mongodbspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docs
DeveloperPerconaApache Software FoundationSTS Soft SCSurrealDB Ltd
Initial release2015201420112022
Current release3.4.10-2.10, November 20173.5.0 ( 2.13), September 20234.0.8, September 2015v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoGPL Version 2Open Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC#Rust
Server operating systemsLinuxLinux
OS X
Windows
WindowsLinux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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.nono
Secondary indexesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsproprietary protocol using JSONJDBC
ODBC
.NET Client APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesActionscript
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
Java
Python
R
Scala
C#
Java
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresJavaScriptnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes infovia In-Memory Engineno
User concepts infoAccess controlAccess rights for users and rolesnonoyes, based on authentication and database rules

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More resources
Percona Server for MongoDBSpark SQLSTSdbSurrealDB
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