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DBMS > Amazon DocumentDB vs. Apache Impala vs. InfluxDB vs. Microsoft Azure Cosmos DB vs. Tarantool

Vergleich der Systemeigenschaften Amazon DocumentDB vs. Apache Impala vs. InfluxDB vs. Microsoft Azure Cosmos DB vs. Tarantool

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon DocumentDB  Xaus Vergleich ausschliessenApache Impala  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessen
KurzbeschreibungFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS für HadoopDBMS for storing time series, events and metricsGlobally distributed, horizontally scalable, multi-model database serviceIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primäres DatenbankmodellDocument StoreRelational DBMSTime Series DBMSDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Document Store
Key-Value Store
Relational DBMS
Sekundäre DatenbankmodelleDocument StoreSpatial DBMS infowith GEO packageSpatial DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,91
Rang#132  Overall
#24  Document Stores
Punkte13,77
Rang#40  Overall
#24  Relational DBMS
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte29,04
Rang#27  Overall
#4  Document Stores
#2  Graph DBMS
#3  Key-Value Stores
#3  Wide Column Stores
Punkte1,72
Rang#144  Overall
#25  Document Stores
#25  Key-Value Stores
#66  Relational DBMS
Websiteaws.amazon.com/­documentdbimpala.apache.orgwww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­cosmos-dbwww.tarantool.io
Technische Dokumentationaws.amazon.com/­documentdb/­resourcesimpala.apache.org/­impala-docs.htmldocs.influxdata.com/­influxdblearn.microsoft.com/­azure/­cosmos-dbwww.tarantool.io/­en/­doc
EntwicklerApache Software Foundation infoApache Top-Level Projekt, ursprünglich entwickelt von ClouderaMicrosoftVK
Erscheinungsjahr20192013201320142008
Aktuelle Version4.1.0, Juni 20222.7.6, April 20242.10.0, Mai 2022
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availablekommerziellOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++GoC und C++
Server BetriebssystemegehostetLinuxLinux
OS X infothrough Homebrew
gehostetBSD
Linux
macOS
DatenschemaschemafreijaschemafreischemafreiFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaNumeric data and Stringsja infoJSON typesstring, double, decimal, uuid, integer, blob, boolean, datetime
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesjajaneinja infoAll properties auto-indexed by defaultja
SQL infoSupport of SQLneinSQL-like DML and DDL statementsSQL-like query languageSQL-like query languageFull-featured ANSI SQL support
APIs und andere Zugriffskonzepteproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
HTTP API
JSON over UDP
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Open binary protocol
Unterstützte ProgrammiersprachenGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-seitige Scripts infoStored Proceduresneinja infoBenutzer definierte Funktionen und Integration von Map/ReduceneinJavaScriptLua, C and SQL stored procedures
TriggersneinneinneinJavaScriptja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingSharding infoin enterprise version onlySharding infoImplizit im Cloud ServiceSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasfrei wählbarer Replikationsfaktorfrei wählbarer Replikationsfaktor infoin enterprise version onlyja infoImplizit im Cloud ServiceAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoBietet ein API für Map/Reduce Operationennein infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenja infoAbfragen werden als Map/Reduce Jobs durchgeführtneinwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Fremdschlüssel inforeferenzielle Integritätnein infotypically not used, however similar functionality with DBRef possibleneinneinneinyes
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic single-document operationsneinneinMulti-item ACID transactions with snapshot isolation within a partitionACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajayes, write ahead logging
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja infoDepending on used storage engineyes, full featured in-memory storage engine with persistence
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesZugriffsrechte für Benutzer, Gruppen und Rollen infobasiert auf Apache Sentry und KerberosEinfache Rechteverwaltung mit BenutzeraccountsZugriffsrechte bis auf item level einstellbarAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon DocumentDBApache ImpalaInfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTarantool
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
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Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
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Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
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Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
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Weitere Ressourcen
Amazon DocumentDBApache ImpalaInfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTarantool
DB-Engines Blog Posts

Why Build a Time Series Data Platform?
20. Juli 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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Data processing speed and reliability: in-memory synchronous replication
9. November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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