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DBMS > 4D vs. AlaSQL vs. Atos Standard Common Repository vs. Dragonfly vs. Splice Machine

System Properties Comparison 4D vs. AlaSQL vs. Atos Standard Common Repository vs. Dragonfly vs. Splice Machine

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAlaSQL  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDragonfly  Xexclude from comparisonSplice Machine  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemJavaScript DBMS libraryHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument store
Relational DBMS
Document store
Key-value store
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.4d.comalasql.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
splicemachine.com
Technical documentationdeveloper.4d.comgithub.com/­AlaSQL/­alasqlwww.dragonflydb.io/­docssplicemachine.com/­how-it-works
Developer4D, IncAndrey Gershun & Mathias R. WulffAtos Convergence CreatorsDragonflyDB team and community contributorsSplice Machine
Initial release19842014201620232014
Current releasev20, April 202317031.0, March 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT-LicensecommercialOpen Source infoBSL 1.1Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaC++Java
Server operating systemsOS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinuxLinux
OS X
Solaris
Windows
Data schemeyesschema-freeSchema and schema-less with LDAP viewsscheme-freeyes
Typing infopredefined data types such as float or dateyesnooptionalstrings, hashes, lists, sets, sorted sets, bit arraysyes
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.yesnoyesno
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92Close to SQL99, but no user access control, stored procedures and host language bindings.nonoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JavaScript APILDAPProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
Native Spark Datasource
ODBC
Supported programming languages4D proprietary IDE
PHP
JavaScriptAll languages with LDAP bindingsC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnonoLuayes infoJava
Triggersyesyesyespublish/subscribe channels provide some trigger functionalityyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infocell divisionShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyesSource-replica replicationMulti-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 systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoonly for local storage and DOM-storageAtomic execution of specific operationsAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes 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.noyesyesyesyes
User concepts infoAccess controlUsers and groupsnoLDAP bind authenticationPassword-based authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAlaSQLAtos Standard Common RepositoryDragonflySplice Machine
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