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DBMS > Faircom EDGE vs. Microsoft Azure Data Explorer vs. SwayDB vs. Vertica

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

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSwayDB  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungFairCom 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 platformAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageCloud 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 DatenbankmodellKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedKey-Value StoreRelational 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
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,09
Rang#362  Overall
#53  Key-Value Stores
#155  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,04
Rang#387  Overall
#61  Key-Value Stores
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgeazure.microsoft.com/­services/­data-explorerswaydb.simer.auwww.vertica.com
Technische Dokumentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.microsoft.com/­en-us/­azure/­data-explorervertica.com/­documentation
EntwicklerFairCom CorporationMicrosoftSimer PlahaOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr1979201920182005
Aktuelle VersionV3, Oktober 2020cloud service with continuous releases12.0.3, Jänner 2023
Lizenz infoCommercial or Open Sourcekommerziell infoRestricted, free version availablekommerziellOpen Source infoGNU Affero GPL V3.0kommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinnein 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.
ImplementierungsspracheANSI C, C++ScalaC++
Server BetriebssystemeAndroid
Linux infoARM, x86
Raspbian
Windows
gehostetLinux
DatenschemaFlexible Schema (defined schema, partial schema, schema free)Fixed schema with schema-less datatypes (dynamic)schemafreiYes, 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-typesneinyes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajaneinnein
Sekundärindizesjaall fields are automatically indexedneinNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLja infoANSI SQL queriesKusto Query Language (KQL), SQL subsetneinFull 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
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
Java
Kotlin
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresja info.Net, JavaScript, C/C++Yes, possible languages: KQL, Python, Rneinyes, PostgreSQL PL/pgSQL, with minor differences
Triggersjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenFile partitioning infoCustomizable business rules for partitioningSharding infoImplicit feature of the cloud servicekeinehorizontal 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.keineMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark 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 SQLneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinAtomic execution of operationsACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoacross SQL and NoSQLjajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinjanein
Berechtigungskonzept infoZugriffskontrolleFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Azure Active Directory Authenticationneinfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Faircom EDGE infoformerly c-treeEDGEMicrosoft Azure Data ExplorerSwayDBVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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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...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Weitere Ressourcen
Faircom EDGE infoformerly c-treeEDGEMicrosoft Azure Data ExplorerSwayDBVertica infoOpenText™ Vertica™
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