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 > Datastax Enterprise vs. GBase vs. jBASE vs. Microsoft Azure Data Explorer vs. ScyllaDB

Vergleich der Systemeigenschaften Datastax Enterprise vs. GBase vs. jBASE vs. Microsoft Azure Data Explorer vs. ScyllaDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatastax Enterprise  Xaus Vergleich ausschliessenGBase  Xaus Vergleich ausschliessenjBASE  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenScyllaDB  Xaus Vergleich ausschliessen
KurzbeschreibungDataStax 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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A robust multi-value DBMS comprising development tools and middlewareFully managed big data interactive analytics platformCassandra and DynamoDB compatible wide column store
Primäres DatenbankmodellWide Column StoreRelational DBMSMultivalue DBMSRelational DBMS infocolumn orientedWide Column Store
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
Document 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 Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,80
Rang#60  Overall
#4  Wide Column Stores
Punkte1,07
Rang#185  Overall
#86  Relational DBMS
Punkte1,41
Rang#159  Overall
#3  Multivalue DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte4,75
Rang#68  Overall
#5  Wide Column Stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.gbase.cnwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­services/­data-explorerwww.scylladb.com
Technische Dokumentationdocs.datastax.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.microsoft.com/­en-us/­azure/­data-explorerdocs.scylladb.com
EntwicklerDataStaxGeneral Data Technology Co., Ltd.Rocket Software (früher Zumasys)MicrosoftScyllaDB
Erscheinungsjahr20112004199120192015
Aktuelle Version6.8, April 2020GBase 8a, GBase 8s, GBase 8c5.7cloud service with continuous releasesScyllaDB Open Source 5.4.1, Jaenner 2024
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellkommerziellOpen Source infoOpen Source (AGPL), commercial license available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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.Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
ImplementierungsspracheJavaC, Java, PythonC++
Server BetriebssystemeLinux
OS X
LinuxAIX
Linux
Windows
gehostetLinux
DatenschemaschemafreijaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaoptionalja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjajajanein
Sekundärindizesjajaall fields are automatically indexedja infocluster global secondary indices
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLStandard with numerous extensionsEmbedded SQL for jBASE in BASICKusto Query Language (KQL), SQL subsetSQL-like DML and DDL statements (CQL)
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Propriätäres Protokoll
RESTful HTTP API
SOAP-basiertes API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietäres Protokoll infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#.Net
Basic
Jabbascript
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
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
Server-seitige Scripts infoStored Proceduresneinuser defined functionsjaYes, possible languages: KQL, Python, Ryes, Lua
Triggersjajajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infono "single point of failure"horizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingjajaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer Replikationsfaktor infoRepresentation of geographical distribution of servers is possible
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomicity and isolation are supported for single operationsACIDACIDneinnein infoAtomicity and isolation are supported for single operations
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja infoin-memory tables
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbarjaAccess rights can be defined down to the item levelAzure Active Directory AuthenticationAccess rights for users can be defined per object
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseGBasejBASEMicrosoft Azure Data ExplorerScyllaDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» mehr
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» mehr
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» mehr
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» mehr
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» mehr
ScyllaDB is ideal for applications that require high throughput and low latency at...
» mehr
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» mehr
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» mehr
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» mehr
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» mehr
Licensing and pricing modelsAnnual subscription
» mehr
ScyllaDB 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
Datastax EnterpriseGBasejBASEMicrosoft Azure Data ExplorerScyllaDB
Erwähnungen in aktuellen Nachrichten

DataStax previews new Hyper Converged Data Platform for enterprise AI
15. Mai 2024, VentureBeat

DataStax Launches New Hyper-Converged Data Platform Giving Enterprises the Complete Modern Data Center Suite ...
15. Mai 2024, Yahoo Finance

How to Migrate From DataStax Enterprise to Instaclustr Managed Apache Cassandra
17. Januar 2024, Database Trends and Applications

DataStax and LlamaIndex Partner to Make Building RAG Applications Easier than Ever for GenAI Developers
20. Februar 2024, Business Wire

DataStax Rolls Out Vector Search for Astra DB to Support Gen AI
19. Juli 2023, EnterpriseAI

bereitgestellt von Google News

Azure Data Explorer: Log and telemetry analytics benchmark
16. August 2022, azure.microsoft.com

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

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

Microsoft Introduces Azure Integration Environments and Business Process Tracking in Public Preview
23. November 2023, InfoQ.com

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

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

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

Präsentieren Sie hier Ihr Produkt