DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Atos Standard Common Repository vs. GeoSpock vs. SpatiaLite

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Atos Standard Common Repository vs. GeoSpock vs. SpatiaLite

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonSpatiaLite  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleSpatial extension of SQLite
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSSpatial DBMS
Secondary database modelsDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperAlibabaAtos Convergence CreatorsGeoSpockAlessandro Furieri
Initial release20162008
Current release17032.0, September 20195.0.0, August 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptC++
Server operating systemshostedLinuxhostedserver-less
Data schemeyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.yesyesnono
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLyesnoANSI SQL for query only (using Presto)yes
APIs and other access methodsJDBC
ODBC
LDAPJDBC
Supported programming languagesC#
Java
PHP
Python
All languages with LDAP bindings
Server-side scripts infoStored proceduresyesnonono
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infocell divisionAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID
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.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationAccess rights for users can be defined per tableno
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLAtos Standard Common RepositoryGeoSpockSpatiaLite
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Alibaba Cloud AnalyticDB for MySQLAtos Standard Common RepositoryGeoSpockSpatiaLite
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Alibaba Cloud launches new cloud database solutions following market growth
1 October 2020, DataCenterNews Asia

How Data Analytics Capabilities of Alibaba Group Evolve Its Ecosystem to the Cloud
20 February 2021, DataDrivenInvestor

Gartner’s Magic Quadrant for Cloud Database Management Systems
9 December 2020, CRN

Alibaba Cloud Named a Leader in Gartner(R) Magic Quadrant(TM) for Cloud Database Management Systems
8 February 2024, RYT9

AWS, IBM, Microsoft, Google emerge Cloud DBMS leaders
22 December 2022, Daily Host News

provided by Google News

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

GeoSpock launches Spatial Big Data Platform 2.0
4 September 2019, VanillaPlus

nChain Leads Investment Round in Extreme-scale Data Firm GeoSpock
2 October 2020, AlexaBlockchain

Smart Cities, Autonomous Vehicles, Artificial General Intelligence Robotics: Q&A with Steve Marsh, GeoSpock
16 May 2018, ExchangeWire

GeoSpock's extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here