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DBMS > Alibaba Cloud Table Store vs. Amazon CloudSearch vs. Apache Impala vs. Atos Standard Common Repository vs. GridDB

System Properties Comparison Alibaba Cloud Table Store vs. Amazon CloudSearch vs. Apache Impala vs. Atos Standard Common Repository vs. GridDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGridDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessA hosted search engine service by Amazon with the data stored in Amazons cloudAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable in-memory time series database optimized for IoT and Big Data
Primary database modelWide column storeSearch engineRelational DBMSDocument store
Key-value store
Time Series DBMS
Secondary database modelsDocument storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score1.85
Rank#137  Overall
#12  Search engines
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­cloudsearchimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygriddb.net
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­cloudsearchimpala.apache.org/­impala-docs.htmldocs.griddb.net
DeveloperAlibabaAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsToshiba Corporation
Initial release20162012201320162013
Current release4.1.0, June 202217035.1, August 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemshostedhostedLinuxLinuxLinux
Data schemeschema-freeyesyesSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateyesyesyesoptionalyes infonumerical, string, blob, geometry, boolean, timestamp
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.nonoyesno
Secondary indexesnoyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsnoSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsHTTP APIHTTP APIJDBC
ODBC
LDAPJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesJava
Python
All languages supporting JDBC/ODBCAll languages with LDAP bindingsC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reducenono
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infomanaged transparently by AWSselectable replication factoryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoAtomic execution of specific operationsACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensauthentication via encrypted signaturesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationAccess rights for users can be defined per database
More information provided by the system vendor
Alibaba Cloud Table StoreAmazon CloudSearchApache ImpalaAtos Standard Common RepositoryGridDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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Alibaba Cloud Table StoreAmazon CloudSearchApache ImpalaAtos Standard Common RepositoryGridDB
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