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DBMS > Faircom EDGE vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Rockset vs. Sqrrl

Vergleich der Systemeigenschaften Faircom EDGE vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Rockset vs. Sqrrl

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRockset  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessen
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
KurzbeschreibungFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA widely adopted in-memory data gridFully managed big data interactive analytics platformA scalable, reliable search and analytics service in the cloud, built on RocksDBAdaptable, secure NoSQL built on Apache Accumulo
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Key-Value StoreRelational DBMS infocolumn orientedDocument StoreDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Sekundäre DatenbankmodelleDocument Store infoJSON support with IMDG 3.12Document 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
Relational DBMS
Suchmaschine
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,02
Rang#368  Overall
#54  Key-Value Stores
#156  Relational DBMS
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,79
Rang#211  Overall
#35  Document Stores
Websitewww.faircom.com/­products/­faircom-edgehazelcast.comazure.microsoft.com/­services/­data-explorerrockset.comsqrrl.com
Technische Dokumentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.rockset.com
EntwicklerFairCom CorporationHazelcastMicrosoftRocksetAmazon infoursprünglich Sqrrl Data, Inc.
Erscheinungsjahr19792008201920192012
Aktuelle VersionV3, Oktober 20205.3.6, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses availablekommerziellkommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheANSI C, C++JavaC++Java
Server BetriebssystemeAndroid
Linux infoARM, x86
Raspbian
Windows
Alle Betriebssysteme mit einer Java VMgehostetgehostetLinux
DatenschemaFlexible Schema (defined schema, partial schema, schema free)schemafreiFixed schema with schema-less datatypes (dynamic)schemafreischemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, ANSI Standard SQL Typesjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesdynamic typingja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaja infothe object must implement a serialization strategyjanein infoingestion from XML files supported
Sekundärindizesjajaall fields are automatically indexedall fields are automatically indexedja
SQL infoSupport of SQLja infoANSI SQL queriesSQL-like query languageKusto Query Language (KQL), SQL subsetRead-only SQL queries, including JOINsnein
APIs und andere ZugriffskonzepteADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-seitige Scripts infoStored Proceduresja info.Net, JavaScript, C/C++ja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rneinnein
Triggersjaja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenFile partitioning infoCustomizable business rules for partitioningShardingSharding infoImplicit feature of the cloud serviceAutomatic shardingSharding infoBasierend auf Hadoop
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoSynchronous and asynchronous realtime replication based on transaction logsja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.jafrei wählbarer Replikationsfaktor infobasierend auf Hadoop
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Fremdschlüssel inforeferenzielle Integritätja infowhen using SQLneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDone or two-phase-commit; repeatable reads; read commitedneinneinAtomic updates per row, document, or graph entity
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoacross SQL and NoSQLjajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajanein
Berechtigungskonzept infoZugriffskontrolleFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access controlAzure Active Directory AuthenticationAccess rights for users and organizations can be defined via Rockset consoleCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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Weitere Ressourcen
Faircom EDGE infoformerly c-treeEDGEHazelcastMicrosoft Azure Data ExplorerRocksetSqrrl
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