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DBMS > Badger vs. ClickHouse vs. Datastax Enterprise vs. Faircom DB vs. Microsoft Access

Vergleich der Systemeigenschaften Badger vs. ClickHouse vs. Datastax Enterprise vs. Faircom DB vs. Microsoft Access

Redaktionelle Informationen bereitgestellt von DB-Engines
NameBadger  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenDatastax Enterprise  Xaus Vergleich ausschliessenFaircom DB infoformerly c-treeACE  Xaus Vergleich ausschliessenMicrosoft Access  Xaus Vergleich ausschliessen
KurzbeschreibungAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Microsoft Access kombiniert ein Backend (JET bzw. ACE Engine) mit einem grafischen Frontend zur Datenabfrage bzw. Datenmanipulation. infoDas Access-Frontend wird häufig auch für Zugriff auf andere Datenquellen (DBMS, Excel, etc) verwendet.
Primäres DatenbankmodellKey-Value StoreRelational DBMSWide Column StoreKey-Value Store
Relational DBMS
Relational DBMS
Sekundäre DatenbankmodelleTime Series DBMSDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,20
Rang#325  Overall
#49  Key-Value Stores
Punkte16,20
Rang#37  Overall
#23  Relational DBMS
Punkte6,31
Rang#57  Overall
#4  Wide Column Stores
Punkte0,24
Rang#311  Overall
#44  Key-Value Stores
#140  Relational DBMS
Punkte105,40
Rang#11  Overall
#8  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerclickhouse.comwww.datastax.com/­products/­datastax-enterprisewww.faircom.com/­products/­faircom-dbwww.microsoft.com/­en-us/­microsoft-365/­access
Technische Dokumentationgodoc.org/­github.com/­dgraph-io/­badgerclickhouse.com/­docsdocs.datastax.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldeveloper.microsoft.com/­en-us/­access
EntwicklerDGraph LabsClickhouse Inc.DataStaxFairCom CorporationMicrosoft
Erscheinungsjahr20172016201119791992
Aktuelle Versionv24.3.2.23-lts, April 20246.8, April 2020V12, November 20201902 (16.0.11328.20222), Maerz 2019
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0kommerziellkommerziell infoRestricted, free version availablekommerziell infoGebündelt mit Microsoft Office Lizenzen
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
ImplementierungsspracheGoC++JavaANSI C, C++C++
Server BetriebssystemeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Linux
OS X
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Windows infoKein eigentlicher Datenbank-Server, sondern Ausführung von DLL's.
Datenschemaschemafreijaschemafreischema free, schema optional, schema required, partial schema,ja
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjajaja, ANSI Standard SQL Types, JSON, typed binary structuresja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesneinyesjajaja
SQL infoSupport of SQLneinClose to ANSI SQL (SQL/JSON + extensions)SQL-like DML and DDL statements (CQL); Spark SQLyes, ANSI SQL with proprietary extensionsja infoaber nicht SQL Standard konform
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
Propriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
DAO
ODBC
OLE DB
Unterstützte ProgrammiersprachenGoC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-seitige Scripts infoStored Proceduresneinjaneinja info.Net, JavaScript, C/C++ja infoab Access 2010 mit ACE-Engine
Triggersneinneinjajaja infoab Access 2010 mit ACE-Engine
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeinekey based and customSharding infono "single point of failure"File partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenkeineAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.configurable replication factor, datacenter aware, advanced replication for edge computingyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).keine
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinjaneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Fremdschlüssel inforeferenzielle Integritätneinneinneinjaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinneinnein infoAtomicity and isolation are supported for single operationstunable from ACID to Eventually ConsistentACID infoaber keine Files für Transaktions-Logging
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der DatenjajajaYes, tunable from durable to delayed durability to in-memoryja infoaber keine Files für Transaktions-Logging
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjajaja
Berechtigungskonzept infoZugriffskontrolleneinAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Zugriffsrechte für Benutzer auf einzelne Objekte definierbarFine grained access rights according to SQL-standard with additional protections for filesnein infoeinfache Benutzerverwaltung war vorhanden bis zur Version Access 2003
Weitere Informationen bereitgestellt vom Systemhersteller
BadgerClickHouseDatastax EnterpriseFaircom DB infoformerly c-treeACEMicrosoft Access
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» mehr
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» mehr
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsAnnual subscription
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Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
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Zugehörige Produkte und Dienstleistungen
DrittanbieterAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

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Weitere Ressourcen
BadgerClickHouseDatastax EnterpriseFaircom DB infoformerly c-treeACEMicrosoft Access
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