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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
Nameetcd  Xaus Vergleich ausschliessenFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  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.
KurzbeschreibungA distributed reliable key-value storeFairCom 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 platformAdaptable, secure NoSQL built on Apache Accumulo
Primäres DatenbankmodellKey-Value StoreKey-Value Store
Relational DBMS
Key-Value StoreRelational DBMS infocolumn orientedDocument 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte7,25
Rang#54  Overall
#5  Key-Value Stores
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
Websiteetcd.io
github.com/­etcd-io/­etcd
www.faircom.com/­products/­faircom-edgehazelcast.comazure.microsoft.com/­services/­data-explorersqrrl.com
Technische Dokumentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerFairCom CorporationHazelcastMicrosoftAmazon infoursprünglich Sqrrl Data, Inc.
Erscheinungsjahr1979200820192012
Aktuelle Version3.4, August 2019V3, Oktober 20205.3.6, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0kommerziell infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheGoANSI C, C++JavaJava
Server BetriebssystemeFreeBSD
Linux
Windows infoexperimental
Android
Linux infoARM, x86
Raspbian
Windows
Alle Betriebssysteme mit einer Java VMgehostetLinux
DatenschemaschemafreiFlexible Schema (defined schema, partial schema, schema free)schemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinja, ANSI Standard SQL Typesjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaja infothe object must implement a serialization strategyja
Sekundärindizesneinjajaall fields are automatically indexedja
SQL infoSupport of SQLneinja infoANSI SQL queriesSQL-like query languageKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzeptegRPC
JSON over HTTP
ADO.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
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Unterstützte Programmiersprachen.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-seitige Scripts infoStored Proceduresneinja info.Net, JavaScript, C/C++ja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rnein
Triggersyes, watching key changesjaja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenFile partitioning infoCustomizable business rules for partitioningShardingSharding infoImplicit feature of the cloud serviceSharding infoBasierend auf Hadoop
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.ja 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.frei wählbarer Replikationsfaktor infobasierend auf Hadoop
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Fremdschlüssel inforeferenzielle Integritätneinja infowhen using SQLneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDone or two-phase-commit; repeatable reads; read commitedneinAtomic updates per row, document, or graph entity
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoacross SQL and NoSQLjajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjajanein
Berechtigungskonzept infoZugriffskontrolleneinFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access controlAzure Active Directory AuthenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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Weitere Ressourcen
etcdFaircom EDGE infoformerly c-treeEDGEHazelcastMicrosoft Azure Data ExplorerSqrrl
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