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DBMS > Datastax Enterprise vs. IBM Db2 Event Store vs. Kinetica vs. Microsoft Azure Data Explorer vs. QuestDB

Vergleich der Systemeigenschaften Datastax Enterprise vs. IBM Db2 Event Store vs. Kinetica vs. Microsoft Azure Data Explorer vs. QuestDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatastax Enterprise  Xaus Vergleich ausschliessenIBM Db2 Event Store  Xaus Vergleich ausschliessenKinetica  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenQuestDB  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.Distributed Event Store optimized for Internet of Things use casesFully vectorized database across both GPUs and CPUsFully managed big data interactive analytics platformA high performance open source SQL database for time series data
Primäres DatenbankmodellWide Column StoreEvent Store
Time Series DBMS
Relational DBMSRelational DBMS infocolumn orientedTime Series DBMS
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
Spatial DBMS
Time Series 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
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,93
Rang#56  Overall
#4  Wide Column Stores
Punkte0,27
Rang#309  Overall
#2  Event Stores
#28  Time Series DBMS
Punkte0,66
Rang#234  Overall
#107  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte2,70
Rang#105  Overall
#8  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.ibm.com/­products/­db2-event-storewww.kinetica.comazure.microsoft.com/­services/­data-explorerquestdb.io
Technische Dokumentationdocs.datastax.comwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­data-explorerquestdb.io/­docs
EntwicklerDataStaxIBMKineticaMicrosoftQuestDB Technology Inc
Erscheinungsjahr20112017201220192014
Aktuelle Version6.8, April 20202.07.1, August 2021cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziellkommerziell infofree developer edition availablekommerziellkommerziellOpen Source infoApache 2.0
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.
ImplementierungsspracheJavaC und C++C, C++Java (Zero-GC), C++, Rust
Server BetriebssystemeLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionLinuxgehostetLinux
macOS
Windows
DatenschemaschemafreijajaFixed schema with schema-less datatypes (dynamic)ja infoschema-free via InfluxDB Line Protocol
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja 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, XSLTneinneinneinjanein
Sekundärindizesjaneinjaall fields are automatically indexednein
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLja infothrough the embedded Spark runtimeSQL-like DML and DDL statementsKusto Query Language (KQL), SQL subsetSQL with time-series extensions
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-seitige Scripts infoStored Proceduresneinjabenutzerdefinierte FunktionenYes, possible languages: KQL, Python, Rnein
Triggersjaneinja infotriggers when inserted values for one or more columns fall within a specified rangeja 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"ShardingShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingActive-active shard replicationSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with eventual consistency
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinneinSpark 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
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomicity and isolation are supported for single operationsneinneinneinACID for single-table writes
Concurrency infoUnterstützung von gleichzeitig ausgeführten DatenmanipulationenjaNo - written data is immutablejajaja
Durability infoDauerhafte Speicherung der DatenjaYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storagejajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaja infoGPU vRAM or System RAMneinja infothrough memory mapped files
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbarBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardZugriffsrechte für Benutzer und Rollen auf TabellenebeneAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseIBM Db2 Event StoreKineticaMicrosoft Azure Data ExplorerQuestDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Relational model with native time series support Column-based storage and time partitioned...
» mehr
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Financial tick data Industrial IoT Application Metrics Monitoring
» mehr
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» mehr
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» mehr
Licensing and pricing modelsAnnual subscription
» mehr
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» mehr
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