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DBMS > Alibaba Cloud Table Store vs. Elasticsearch vs. Faircom EDGE vs. JSqlDb vs. Microsoft Azure Data Explorer

System Properties Comparison Alibaba Cloud Table Store vs. Elasticsearch vs. Faircom EDGE vs. JSqlDb vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonElasticsearch  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsJavaScript Query Language Database, stores JavaScript objects and primitivesFully managed big data interactive analytics platform
Primary database modelWide column storeSearch engineKey-value store
Relational DBMS
Document store
Object oriented DBMS
Relational DBMS infocolumn oriented
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score132.83
Rank#7  Overall
#1  Search engines
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.elastic.co/­elasticsearchwww.faircom.com/­products/­faircom-edgejsqldb.org (offline)azure.microsoft.com/­services/­data-explorer
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperAlibabaElasticFairCom CorporationKonrad von BackstromMicrosoft
Initial release20162010197920182019
Current release8.6, January 2023V3, October 20200.8, December 2018cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoElastic Licensecommercial infoRestricted, free version availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++
Server operating systemshostedAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Windows
hosted
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentFlexible Schema (defined schema, partial schema, schema free)schema-freeFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesnoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-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.nonoyesnoyes
Secondary indexesnoyes infoAll search fields are automatically indexedyesnoall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageyes infoANSI SQL queriesnoKusto Query Language (KQL), SQL subset
APIs and other access methodsHTTP APIJava API
RESTful HTTP/JSON API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesJava
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaScript.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnoyesyes info.Net, JavaScript, C/C++functions in JavaScriptYes, possible languages: KQL, Python, R
Triggersnoyes infoby using the 'percolation' featureyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingFile partitioning infoCustomizable business rules for partitioningnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop ConnectornonoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Azure Active Directory Authentication

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More resources
Alibaba Cloud Table StoreElasticsearchFaircom EDGE infoformerly c-treeEDGEJSqlDbMicrosoft Azure Data Explorer
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