DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Microsoft Azure Data Explorer vs. OrigoDB vs. Riak TS vs. ScyllaDB vs. TimescaleDB

Vergleich der Systemeigenschaften Microsoft Azure Data Explorer vs. OrigoDB vs. Riak TS vs. ScyllaDB vs. TimescaleDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOrigoDB  Xaus Vergleich ausschliessenRiak TS  Xaus Vergleich ausschliessenScyllaDB  Xaus Vergleich ausschliessenTimescaleDB  Xaus Vergleich ausschliessen
KurzbeschreibungFully managed big data interactive analytics platformA fully ACID in-memory object graph databaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVCassandra and DynamoDB compatible wide column storeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primäres DatenbankmodellRelational DBMS infocolumn orientedDocument Store
Object oriented DBMS
Time Series DBMSWide Column StoreTime Series DBMS
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
Key-Value StoreRelational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#383  Overall
#53  Document Stores
#20  Object oriented DBMS
Punkte0,20
Rang#319  Overall
#27  Time Series DBMS
Punkte4,75
Rang#68  Overall
#5  Wide Column Stores
Punkte4,64
Rang#71  Overall
#4  Time Series DBMS
Websiteazure.microsoft.com/­services/­data-explorerorigodb.comwww.scylladb.comwww.timescale.com
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorerorigodb.com/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.scylladb.comdocs.timescale.com
EntwicklerMicrosoftRobert Friberg et alOpen Source, formerly Basho TechnologiesScyllaDBTimescale
Erscheinungsjahr20192009 infounder the name LiveDB201520152017
Aktuelle Versioncloud service with continuous releases3.0.0, September 2022ScyllaDB Open Source 5.4.1, Jaenner 20242.15.0, Mai 2024
Lizenz infoCommercial or Open SourcekommerziellOpen SourceOpen SourceOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
ImplementierungsspracheC#ErlangC++C
Server BetriebssystemegehostetLinux
Windows
Linux
OS X
LinuxLinux
OS X
Windows
DatenschemaFixed schema with schema-less datatypes (dynamic)jaschemafreischemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesUser defined using .NET types and collectionsneinjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjanein infocan be achieved using .NETneinneinja
Sekundärindizesall fields are automatically indexedjaeingeschränktja infocluster global secondary indicesja
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetneinyes, limitedSQL-like DML and DDL statements (CQL)ja infofull PostgreSQL SQL syntax
APIs und andere ZugriffskonzepteMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
HTTP API
LINQ
HTTP API
Native Erlang Interface
Proprietäres Protokoll infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.NetC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-seitige Scripts infoStored ProceduresYes, possible languages: KQL, Python, RjaErlangyes, Luabenutzerdefinierte Funktionen, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoDomain Eventsja infopre-commit hooks and post-commit hooksneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud servicehorizontale Partitionierung infoclient side managed; servers are not synchronizedShardingShardingyes, across time and space (hash partitioning) attributes
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikationfrei wählbarer Replikationsfaktorfrei wählbarer Replikationsfaktor infoRepresentation of geographical distribution of servers is possibleSource-Replica Replikation info
MapReduce infoBietet ein API für Map/Reduce OperationenSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinjaneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneindepending on modelnein infolinks between datasets can be storedneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinnein infoAtomicity and isolation are supported for single operationsACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjaja infoWrite ahead logjajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaja infoin-memory tablesnein
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationRole based authorizationneinAccess rights for users can be defined per objectBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
Microsoft Azure Data ExplorerOrigoDBRiak TSScyllaDBTimescaleDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» mehr
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» mehr
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» mehr
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» mehr
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» mehr
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» mehr

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
Microsoft Azure Data ExplorerOrigoDBRiak TSScyllaDBTimescaleDB
Erwähnungen in aktuellen Nachrichten

Azure Data Explorer: Log and telemetry analytics benchmark
16. August 2022, Microsoft

Providing modern data transfer and storage service at Microsoft with Microsoft Azure - Inside Track Blog
13. Juli 2023, microsoft.com

Controlling costs in Azure Data Explorer using down-sampling and aggregation
11. Februar 2019, Microsoft

Individually great, collectively unmatched: Announcing updates to 3 great Azure Data Services
7. Februar 2019, Microsoft

Log and Telemetry Analytics Performance Benchmark
16. August 2022, Gigaom

bereitgestellt von Google News

Best open source databases for IoT applications
26. Mai 2017, Open Source For You

bereitgestellt von Google News

Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla
26. April 2024, InfoQ.com

ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels
17. Oktober 2023, Datanami

ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale | Amazon Web Services
6. Januar 2023, AWS Blog

ScyllaDB Launches Scylla Cloud Database as a Service
14. April 2019, insideBIGDATA

Scylla review: Apache Cassandra supercharged
18. Dezember 2019, InfoWorld

bereitgestellt von Google News

TimescaleDB Is a Vector Database Now, Too
25. September 2023, Datanami

Timescale Acquires PopSQL to Bring a Modern, Collaborative SQL GUI to PostgreSQL Developers
4. April 2024, PR Newswire

Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL
18. März 2019, Microsoft

Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data
22. Februar 2022, Business Wire

SQL and TimescaleDB. This article takes a closer look into… | by Alibaba Cloud
31. Juli 2019, DataDrivenInvestor

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

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

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

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

Neo4j logo

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

Präsentieren Sie hier Ihr Produkt