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DBMS > Apache Druid vs. Faircom EDGE vs. JSqlDb vs. Microsoft Azure Data Explorer vs. Vertica

Vergleich der Systemeigenschaften Apache Druid vs. Faircom EDGE vs. JSqlDb vs. Microsoft Azure Data Explorer vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenJSqlDb  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFairCom 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 platformCloud 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 DatenbankmodellRelational DBMS
Time Series DBMS
Key-Value Store
Relational DBMS
Document Store
Object oriented DBMS
Relational DBMS infocolumn orientedRelational 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
Punkte3,34
Rang#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Punkte0,02
Rang#368  Overall
#54  Key-Value Stores
#156  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websitedruid.apache.orgwww.faircom.com/­products/­faircom-edgejsqldb.org (offline)azure.microsoft.com/­services/­data-explorerwww.vertica.com
Technische Dokumentationdruid.apache.org/­docs/­latest/­designdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.microsoft.com/­en-us/­azure/­data-explorervertica.com/­documentation
EntwicklerApache Software Foundation and contributorsFairCom CorporationKonrad von BackstromMicrosoftOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20121979201820192005
Aktuelle Version29.0.1, April 2024V3, Oktober 20200.8, Dezember 2018cloud service with continuous releases12.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2kommerziell infoRestricted, free version availableOpen Sourcekommerziellkommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein 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.
ImplementierungsspracheJavaANSI C, C++C++
Server BetriebssystemeLinux
OS X
Unix
Android
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Windows
gehostetLinux
Datenschemaja infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)schemafreiFixed schema with schema-less datatypes (dynamic)Yes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, ANSI Standard SQL Typesneinja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinjanein
Sekundärindizesjajaneinall fields are automatically indexedNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL for queryingja infoANSI SQL queriesneinKusto Query Language (KQL), SQL subsetFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteJDBC
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
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaScript.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresneinja info.Net, JavaScript, C/C++functions in JavaScriptYes, possible languages: KQL, Python, Ryes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinjaneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedFile partitioning infoCustomizable business rules for partitioningkeineSharding infoImplicit feature of the cloud servicehorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage Enginesja infoSynchronous and asynchronous realtime replication based on transaction logskeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.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 OperationenneinneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infowhen using SQLneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoacross SQL and NoSQLjaja
Durability infoDauerhafte Speicherung der Datenjajaja infousing RocksDBjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinnein
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Azure Active Directory Authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DruidFaircom EDGE infoformerly c-treeEDGEJSqlDbMicrosoft Azure Data ExplorerVertica 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
Apache DruidFaircom EDGE infoformerly c-treeEDGEJSqlDbMicrosoft Azure Data ExplorerVertica infoOpenText™ Vertica™
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