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DBMS > atoti vs. Faircom EDGE vs. Microsoft Azure Data Explorer vs. MySQL vs. Vertica

Vergleich der Systemeigenschaften atoti vs. Faircom EDGE vs. Microsoft Azure Data Explorer vs. MySQL vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
Nameatoti  Xaus Vergleich ausschliessenFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMySQL  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFully managed big data interactive analytics platformWeit verbreitetes, allgemein einsetzbares Open Source RDBMSCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellObject oriented DBMSKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedRelational DBMS infoKey/Value Zugriff über memcached APIRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleDocument 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
Suchmaschine 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
Document Store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,61
Rang#243  Overall
#10  Object oriented DBMS
Punkte0,09
Rang#362  Overall
#53  Key-Value Stores
#155  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte1061,34
Rang#2  Overall
#2  Relational DBMS
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Websiteatoti.iowww.faircom.com/­products/­faircom-edgeazure.microsoft.com/­services/­data-explorerwww.mysql.comwww.vertica.com
Technische Dokumentationdocs.atoti.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdev.mysql.com/­docvertica.com/­documentation
EntwicklerActiveViamFairCom CorporationMicrosoftOracle infoseit 2010, ursprünglich MySQL AB, danach SunOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr1979201919952005
Aktuelle VersionV3, Oktober 2020cloud service with continuous releases8.4.0, April 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open Sourcekommerziell infofree versions availablekommerziell infoRestricted, free version availablekommerziellOpen Source infoGPL Version 2. Kommerzielle Lizenzen mit erweiterter Funktionalität sind verfügbar.kommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
ImplementierungsspracheJavaANSI C, C++C und C++C++
Server BetriebssystemeAndroid
Linux infoARM, x86
Raspbian
Windows
gehostetFreeBSD
Linux
OS X
Solaris
Windows
Linux
DatenschemaFlexible Schema (defined schema, partial schema, schema free)Fixed schema with schema-less datatypes (dynamic)jaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, ANSI Standard SQL Typesja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajajanein
Sekundärindizesjaall fields are automatically indexedjaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLMultidimensional Expressions (MDX)ja infoANSI SQL queriesKusto Query Language (KQL), SQL subsetja infomit proprietären ErweiterungenFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteADO.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
ADO.NET
JDBC
ODBC
Proprietäres native API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresPythonja info.Net, JavaScript, C/C++Yes, possible languages: KQL, Python, Rja infoproprietäre Syntaxyes, PostgreSQL PL/pgSQL, with minor differences
Triggersjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjayes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding, horizontal partitioningFile partitioning infoCustomizable business rules for partitioningSharding infoImplicit feature of the cloud servicehorizontale Partitionierung, Sharding mit MySQL Cluster oder MySQL Fabrichorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoSynchronous and asynchronous realtime replication based on transaction logsja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation
Source-Replica Replikation
Multi-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infowhen using SQLneinja infonicht für MyISAM Storage Engineja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACID infonicht für MyISAM Storage EngineACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenyes, multi-version concurrency control (MVCC)ja infoacross SQL and NoSQLjaja infoTable Locks oder Row Locks abhängig von Storage Engineja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinjanein
Berechtigungskonzept infoZugriffskontrolleFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Azure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept infokeine Benutzergruppen oder Rollenfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
atotiFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure Data ExplorerMySQLVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» mehr
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen
DrittanbieterAiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» mehr

Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Weitere Ressourcen
atotiFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure Data ExplorerMySQLVertica infoOpenText™ Vertica™
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