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DBMS > Alibaba Cloud Table Store vs. Amazon DocumentDB vs. Apache Druid vs. Faircom EDGE vs. FatDB

System Properties Comparison Alibaba Cloud Table Store vs. Amazon DocumentDB vs. Apache Druid vs. Faircom EDGE vs. FatDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonApache Druid  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFatDB  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 accessFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOpen-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.
Primary database modelWide column storeDocument storeRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Document store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#310  Overall
#12  Wide column stores
Score1.89
Rank#137  Overall
#24  Document 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
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­documentdbdruid.apache.orgwww.faircom.com/­products/­faircom-edge
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreaws.amazon.com/­documentdb/­resourcesdruid.apache.org/­docs/­latest/­designdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperAlibabaApache Software Foundation and contributorsFairCom CorporationFatCloud
Initial release20162019201219792012
Current release29.0.1, April 2024V3, October 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license v2commercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++C#
Server operating systemshostedhostedLinux
OS X
Unix
Android
Linux infoARM, x86
Raspbian
Windows
Windows
Data schemeschema-freeschema-freeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Typesyes
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.nononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoSQL for queryingyes infoANSI SQL queriesno infoVia inetgration in SQL Server
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)JDBC
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
Supported programming languagesJava
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
Server-side scripts infoStored proceduresnononoyes info.Net, JavaScript, C/C++yes infovia applications
Triggersnononoyesyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infomanual/auto, time-basedFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, via HDFS, S3 or other storage enginesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenoyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic single-document operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoacross SQL and NoSQLyes
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 tokensAccess rights for users and rolesRBAC 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 applications

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More resources
Alibaba Cloud Table StoreAmazon DocumentDBApache DruidFaircom EDGE infoformerly c-treeEDGEFatDB
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