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DBMS > Cachelot.io vs. InfluxDB vs. Microsoft Azure Data Explorer vs. Rockset vs. SingleStore

Vergleich der Systemeigenschaften Cachelot.io vs. InfluxDB vs. Microsoft Azure Data Explorer vs. Rockset vs. SingleStore

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCachelot.io  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRockset  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessen
KurzbeschreibungIn-memory caching systemDBMS for storing time series, events and metricsFully managed big data interactive analytics platformA scalable, reliable search and analytics service in the cloud, built on RocksDBMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primäres DatenbankmodellKey-Value StoreTime Series DBMSRelational DBMS infocolumn orientedDocument StoreRelational DBMS
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageDocument 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
Document Store
Spatial DBMS
Time Series DBMS
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,04
Rang#388  Overall
#62  Key-Value Stores
Punkte24,39
Rang#28  Overall
#1  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,82
Rang#212  Overall
#36  Document Stores
Punkte5,38
Rang#62  Overall
#35  Relational DBMS
Websitecachelot.iowww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­data-explorerrockset.comwww.singlestore.com
Technische Dokumentationdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.rockset.comdocs.singlestore.com
EntwicklerMicrosoftRocksetSingleStore Inc.
Erscheinungsjahr20152013201920192013
Aktuelle Version2.7.6, April 2024cloud service with continuous releases8.5, Jänner 2024
Lizenz infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoMIT-License; commercial enterprise version availablekommerziellkommerziellkommerziell infofree developer edition available
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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
ImplementierungsspracheC++GoC++C++, Go
Server BetriebssystemeFreeBSD
Linux
OS X
Linux
OS X infothrough Homebrew
gehostetgehostetLinux info64 bit version required
DatenschemaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)schemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinNumeric data and Stringsja 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, XSLTneinneinjanein infoingestion from XML files supportednein
Sekundärindizesneinneinall fields are automatically indexedall fields are automatically indexedja
SQL infoSupport of SQLneinSQL-like query languageKusto Query Language (KQL), SQL subsetRead-only SQL queries, including JOINsyes infobut no triggers and foreign keys
APIs und andere ZugriffskonzepteMemcached ProtokollHTTP API
JSON over UDP
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP RESTCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Unterstützte Programmiersprachen.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored ProceduresneinneinYes, possible languages: KQL, Python, Rneinja
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineSharding infoin enterprise version onlySharding infoImplicit feature of the cloud serviceAutomatic shardingSharding infohash partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeinefrei wählbarer Replikationsfaktor infoin enterprise version onlyja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.jaSource-Replica Replikation infostores two copies of each physical data partition on two separate nodes
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein infocan define user-defined aggregate functions for map-reduce-style calculations
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenneinjajajaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja infoDepending on used storage engineneinja
Berechtigungskonzept infoZugriffskontrolleneinEinfache Rechteverwaltung mit BenutzeraccountsAzure Active Directory AuthenticationAccess rights for users and organizations can be defined via Rockset consoleFine grained access control via users, groups and roles
Weitere Informationen bereitgestellt vom Systemhersteller
Cachelot.ioInfluxDBMicrosoft Azure Data ExplorerRocksetSingleStore infoformer name was MemSQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Customers in various industries worldwide including US and International Industry...
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
F ree Tier and Enterprise Edition
» mehr
Neuigkeiten

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5. Juni 2024

Chasing the Skies: Monitoring Flights with InfluxDB
4. Juni 2024

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30. Mai 2024

Webinar Recap: Unleash the Full Potential of Your Time Series Data with InfluxDB and AWS
29. Mai 2024

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Weitere Ressourcen
Cachelot.ioInfluxDBMicrosoft Azure Data ExplorerRocksetSingleStore infoformer name was MemSQL
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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Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17. Oktober 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9. Juni 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14. Februar 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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