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DBMS > Alibaba Cloud MaxCompute vs. EXASOL vs. GridDB vs. KairosDB vs. TDSQL for MySQL

System Properties Comparison Alibaba Cloud MaxCompute vs. EXASOL vs. GridDB vs. KairosDB vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonEXASOL  Xexclude from comparisonGridDB  Xexclude from comparisonKairosDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Scalable in-memory time series database optimized for IoT and Big DataDistributed Time Series DBMS based on Cassandra or H2A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.exasol.comgriddb.netgithub.com/­kairosdb/­kairosdbwww.tencentcloud.com/­products/­dcdb
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.exasol.com/­resourcesdocs.griddb.netkairosdb.github.iowww.tencentcloud.com/­document/­product/­1042
DeveloperAlibabaExasolToshiba CorporationTencent
Initial release20162000201320132013
Current release5.1, August 20221.2.2, November 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedLinuxLinux
OS X
Windows
hosted
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nonononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyesSQL92, SQL-like TQL (Toshiba Query Language)noyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
Supported programming languagesJavaJava
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsnonoyes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding infobased on CassandraAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at container levelnoACID
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.noyesyesnono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per databasesimple password-based access controlUsers with fine-grained authorization concept
More information provided by the system vendor
Alibaba Cloud MaxComputeEXASOLGridDBKairosDBTDSQL for MySQL
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Alibaba Cloud MaxComputeEXASOLGridDBKairosDBTDSQL for MySQL
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