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DBMS > Alibaba Cloud Table Store vs. Apache Druid vs. Faircom EDGE vs. FatDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Alibaba Cloud Table Store vs. Apache Druid vs. Faircom EDGE vs. FatDB vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Druid  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA .NET NoSQL DBMS that can integrate with and extend SQL Server.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Document store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#310  Overall
#12  Wide column stores
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storedruid.apache.orgwww.faircom.com/­products/­faircom-edgeazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredruid.apache.org/­docs/­latest/­designdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperAlibabaApache Software Foundation and contributorsFairCom CorporationFatCloudMicrosoft
Initial release20162012197920122016
Current release29.0.1, April 2024V3, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial infoRestricted, free version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++C#C++
Server operating systemshostedLinux
OS X
Unix
Android
Linux infoARM, x86
Raspbian
Windows
Windowshosted
Data schemeschema-freeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyesyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL for queryingyes infoANSI SQL queriesno infoVia inetgration in SQL Serveryes
APIs and other access methodsHTTP APIJDBC
RESTful HTTP/JSON API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
ODBC
Supported programming languagesJava
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#C#
Java
PHP
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++yes infovia applicationsTransact SQL
Triggersnonoyesyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedFile partitioning infoCustomizable business rules for partitioningShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLnono 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 operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
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.nonoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no infoCan implement custom security layer via applicationsyes

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More resources
Alibaba Cloud Table StoreApache DruidFaircom EDGE infoformerly c-treeEDGEFatDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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