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DBMS > mSQL vs. Postgres-XL vs. ScyllaDB vs. Solr

System Properties Comparison mSQL vs. Postgres-XL vs. ScyllaDB vs. Solr

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Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonPostgres-XL  Xexclude from comparisonScyllaDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCassandra and DynamoDB compatible wide column storeA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSWide column storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Key-value storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitehughestech.com.au/­products/­msqlwww.postgres-xl.orgwww.scylladb.comsolr.apache.org
Technical documentationwww.postgres-xl.org/­documentationdocs.scylladb.comsolr.apache.org/­resources.html
DeveloperHughes TechnologiesScyllaDBApache Software Foundation
Initial release19942014 infosince 2012, originally named StormDB20152006
Current release4.4, October 202110 R1, October 2018ScyllaDB Open Source 5.4.1, January 20249.6.0, April 2024
License infoCommercial or Open Sourcecommercial infofree licenses can be providedOpen Source infoMozilla public licenseOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCCC++Java
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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 functionalitynoyes
Secondary indexesyesyesyes infocluster global secondary indicesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infodistributed, parallel query executionSQL-like DML and DDL statements (CQL)Solr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes, LuaJava plugins
Triggersnoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCno infoAtomicity and isolation are supported for single operationsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
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.nonoyes infoin-memory tablesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per objectyes
More information provided by the system vendor
mSQL infoMini SQLPostgres-XLScyllaDBSolr
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
mSQL infoMini SQLPostgres-XLScyllaDBSolr
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