DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von Redgate Software

DBMS > Cachelot.io vs. GeoSpock vs. Google Cloud Bigtable vs. InfluxDB vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Cachelot.io vs. GeoSpock vs. Google Cloud Bigtable vs. InfluxDB vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCachelot.io  Xaus Vergleich ausschliessenGeoSpock  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
KurzbeschreibungIn-memory caching systemSpatial and temporal data processing engine for extreme data scaleGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.DBMS for storing time series, events and metricsFully managed big data interactive analytics platform
Primäres DatenbankmodellKey-Value StoreRelational DBMSKey-Value Store
Wide Column Store
Time Series DBMSRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleTime Series DBMSSpatial 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,00
Rang#386  Overall
#61  Key-Value Stores
Punkte2,93
Rang#90  Overall
#14  Key-Value Stores
#8  Wide Column Stores
Punkte21,47
Rang#28  Overall
#1  Time Series DBMS
Punkte3,00
Rang#87  Overall
#47  Relational DBMS
Websitecachelot.iogeospock.comcloud.google.com/­bigtablewww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­data-explorer
Technische Dokumentationcloud.google.com/­bigtable/­docsdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerGeoSpockGoogleMicrosoft
Erscheinungsjahr2015201520132019
Aktuelle Version2.0, September 20192.7.6, April 2024cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoSimplified BSD LicensekommerziellkommerziellOpen Source infoMIT-License; commercial enterprise version availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++Java, JavascriptGo
Server BetriebssystemeFreeBSD
Linux
OS X
gehostetgehostetLinux
OS X infothrough Homebrew
gehostet
DatenschemaschemafreijaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjaneinNumeric data and Stringsja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinneinja
Sekundärindizesneintemporal, categoricalneinneinall fields are automatically indexed
SQL infoSupport of SQLneinANSI SQL for query only (using Presto)neinSQL-like query languageKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteMemcached ProtokollJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JSON over UDP
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte Programmiersprachen.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.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
Server-seitige Scripts infoStored ProceduresneinneinneinneinYes, possible languages: KQL, Python, R
Triggersneinneinneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineAutomatic shardingShardingSharding infoin enterprise version onlySharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenkeineInternal replication in Colossus, and regional replication between two clusters in different zonesfrei wählbarer Replikationsfaktor infoin enterprise version onlyja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinAtomic single-row operationsneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenneinjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinneinja infoDepending on used storage enginenein
Berechtigungskonzept infoZugriffskontrolleneinAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Einfache Rechteverwaltung mit BenutzeraccountsAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Cachelot.ioGeoSpockGoogle Cloud BigtableInfluxDBMicrosoft Azure Data Explorer
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,...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
Neuigkeiten

LLM Monitoring and Observability
4. November 2024

System Tables Part 2: How We Made It Faster
31. Oktober 2024

System Tables Part 1: Introduction and Best Practices
29. Oktober 2024

MaaS: How to Store and Analyze Real-Time Stock Trading Data Using Next.js and InfluxDB
25. Oktober 2024

MaaS: How to Monitor Node.js App Performance with PM2 & InfluxDB
23. Oktober 2024

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
Cachelot.ioGeoSpockGoogle Cloud BigtableInfluxDBMicrosoft Azure Data Explorer
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

alle anzeigen

Erwähnungen in aktuellen Nachrichten

nChain Leads Investment Round in Extreme-scale Data Firm GeoSpock
2. Oktober 2020, AlexaBlockchain

Growth in geospatial data to enable more contextual understanding – Steve Marsh, GeoSpock
13. März 2018, Geospatial World

GeoSpock showcases rapid expansion with data insights
16. Juli 2018, Cambridge Independent

GeoSpock launches pioneering new spatial Big Data platform
27. Februar 2019, Geospatial World

Movers and Shakers: SoundCloud, WFA, Line, MediaCom, Bidalgo, and more
28. März 2019, Mobile Marketing

bereitgestellt von Google News

Google Cloud adds graph processing to Spanner, SQL support to Bigtable
1. August 2024, InfoWorld

Google introduces Bigtable SQL access and Spanner's new AI-ready features
1. August 2024, ZDNet

Google Cloud Rolls Out Axion-Based C4A VMs for Improved Performance
30. Oktober 2024, Yahoo Finance

Google Cloud expands its database portfolio with new AI capabilities
1. August 2024, TechCrunch

Sifflet Achieves Google Cloud Ready - BigQuery Designation
31. Oktober 2024, StreetInsider.com

bereitgestellt von Google News

Simplify Industrial IoT: Use InfluxDB edge replication for centralized time series analytics with Amazon Timestream
3. September 2024, AWS Blog

InfluxData avoids ’AI magic beans’ in InfluxDB time series database update for enterprises
4. September 2024, VentureBeat

InfluxData makes performance, storage improvements to InfluxDB 3.0
4. September 2024, InfoWorld

InfluxData Enhances InfluxDB 3.0 with Performance Upgrades and Self-Managed Option
5. September 2024, Datanami

InfluxData's Latest Updates Optimize Time Series Data for Better Performance, Scale and Management
19. September 2024, Integration Developers

bereitgestellt von Google News

We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer
31. Mai 2024, azure.microsoft.com

Update records in a Kusto Database (public preview)
20. Februar 2024, azure.microsoft.com

Microsoft is closing down another Azure-based feature in the near future
22. Juli 2024, Neowin

Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints
5. Februar 2024, azure.microsoft.com

General availability: Azure Data Explorer adds new geospatial capabilities
23. Januar 2024, azure.microsoft.com

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Präsentieren Sie hier Ihr Produkt