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DBMS > Alibaba Cloud Table Store vs. Datastax Enterprise vs. GridDB

System Properties Comparison Alibaba Cloud Table Store vs. Datastax Enterprise vs. GridDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelWide column storeWide column storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Key-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
Score5.80
Rank#60  Overall
#4  Wide column stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.datastax.com/­products/­datastax-enterprisegriddb.net
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.datastax.comdocs.griddb.net
DeveloperAlibabaDataStaxToshiba Corporation
Initial release201620112013
Current release6.8, April 20205.1, August 2022
License infoCommercial or Open SourcecommercialcommercialOpen 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 serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC++
Server operating systemshostedLinux
OS X
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes 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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsHTTP APIProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesJava
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno infoAtomicity and isolation are supported for single operationsACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users can be defined per objectAccess rights for users can be defined per database
More information provided by the system vendor
Alibaba Cloud Table StoreDatastax EnterpriseGridDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
GitHub trending repository
» more
Licensing and pricing modelsAnnual subscription
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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Alibaba Cloud Table StoreDatastax EnterpriseGridDB
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