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DBMS > AlaSQL vs. Atos Standard Common Repository vs. GeoMesa vs. GigaSpaces vs. SingleStore

System Properties Comparison AlaSQL vs. Atos Standard Common Repository vs. GeoMesa vs. GigaSpaces vs. SingleStore

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGeoMesa  Xexclude from comparisonGigaSpaces  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Spatial DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#264  Overall
#42  Document stores
#122  Relational DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitealasql.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.geomesa.orgwww.gigaspaces.comwww.singlestore.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.singlestore.com
DeveloperAndrey Gershun & Mathias R. WulffAtos Convergence CreatorsCCRi and othersGigaspaces TechnologiesSingleStore Inc.
Initial release20142016201420002013
Current release17035.0.1, July 202415.5, September 20208.5, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial infofree developer edition 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 languageJavaScriptJavaScalaJava, C++, .NetC++, Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
macOS
Solaris
Windows
Linux info64 bit version required
Data schemeschema-freeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or datenooptionalyesyesyes
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.noyesnono infoXML can be used for describing objects metadatano
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nonoSQL-99 for query and DML statementsyes infobut no triggers and foreign keys
APIs and other access methodsJavaScript APILDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJavaScriptAll languages with LDAP bindings.Net
C++
Java
Python
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononoyesyes
Triggersyesyesnoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisiondepending on storage layerShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesdepending on storage layerMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMap-Reduce pattern can be built with XAP task executorsno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationdepending on storage layerImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesdepending on storage layeryesyes
User concepts infoAccess controlnoLDAP bind authenticationyes infodepending on the DBMS used for storageRole-based access controlFine grained access control via users, groups and roles

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More resources
AlaSQLAtos Standard Common RepositoryGeoMesaGigaSpacesSingleStore infoformer name was MemSQL
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