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DBMS > Alibaba Cloud MaxCompute vs. Google Cloud Bigtable vs. Microsoft Azure Table Storage vs. TDengine vs. Ultipa

System Properties Comparison Alibaba Cloud MaxCompute vs. Google Cloud Bigtable vs. Microsoft Azure Table Storage vs. TDengine vs. Ultipa

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTDengine  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A Wide Column Store for rapid development using massive semi-structured datasetsTime Series DBMS and big data platformHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value store
Wide column store
Wide column storeTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitewww.alibabacloud.com/­product/­maxcomputecloud.google.com/­bigtableazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­taosdata/­TDengine
tdengine.com
www.ultipa.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputecloud.google.com/­bigtable/­docsdocs.tdengine.comwww.ultipa.com/­document
DeveloperAlibabaGoogleMicrosoftTDEngine, previously Taos DataUltipa
Initial release20162015201220192019
Current release3.0, August 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedhostedhostedLinux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononono
Secondary indexesnononono
SQL infoSupport of SQLSQL-like query languagenonoStandard SQL with extensions for time-series applications
APIs and other access methodsFluentd
Flume
MaxCompute Console
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanonono
Triggersnononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsoptimistic locking
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.nonono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights based on private key authentication or shared access signaturesyes
More information provided by the system vendor
Alibaba Cloud MaxComputeGoogle Cloud BigtableMicrosoft Azure Table StorageTDengineUltipa
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Alibaba Cloud MaxComputeGoogle Cloud BigtableMicrosoft Azure Table StorageTDengineUltipa
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