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DBMS > Alibaba Cloud Table Store vs. FeatureBase vs. Heroic vs. Microsoft Azure Synapse Analytics

System Properties Comparison Alibaba Cloud Table Store vs. FeatureBase vs. Heroic vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonFeatureBase  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelWide column storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.featurebase.comgithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.featurebase.comspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAlibabaMolecula and Pilosa Open Source ContributorsSpotifyMicrosoft
Initial release2016201720142016
Current release2022, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++
Server operating systemshostedLinux
macOS
hosted
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnonoyes infovia Elasticsearchyes
SQL infoSupport of SQLnoSQL queriesnoyes
APIs and other access methodsHTTP APIgRPC
JDBC
Kafka Connector
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesJava
Python
Java
Python
C#
Java
PHP
Server-side scripts infoStored proceduresnonoTransact SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensyes

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More resources
Alibaba Cloud Table StoreFeatureBaseHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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