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DBMS > Alibaba Cloud Table Store vs. Apache IoTDB vs. Datomic vs. Faircom EDGE

System Properties Comparison Alibaba Cloud Table Store vs. Apache IoTDB vs. Datomic vs. Faircom EDGE

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDatomic  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments
Primary database modelWide column storeTime Series DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeiotdb.apache.orgwww.datomic.comwww.faircom.com/­products/­faircom-edge
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.datomic.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperAlibabaApache Software FoundationCognitectFairCom Corporation
Initial release2016201820121979
Current release1.1.0, April 20231.0.7075, December 2023V3, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infolimited edition freecommercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureANSI C, C++
Server operating systemshostedAll OS with a Java VM (>= 1.8)All OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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 indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infoANSI SQL queries
APIs and other access methodsHTTP APIJDBC
Native API
RESTful HTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
C
C#
C++
Go
Java
Python
Scala
Clojure
Java
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresnoyesyes infoTransaction Functionsyes info.Net, JavaScript, C/C++
TriggersnoyesBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)none infoBut extensive use of caching in the application peersFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnone infoBut extensive use of caching in the application peersyes infoSynchronous and asynchronous realtime replication based on transaction logs
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integritynononoyes infowhen using SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoacross SQL and NoSQL
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensyesnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
Alibaba Cloud Table StoreApache IoTDBDatomicFaircom EDGE infoformerly c-treeEDGE
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