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DBMS > Hypertable vs. Ignite vs. Microsoft Azure Data Explorer vs. QuestDB vs. Speedb

Vergleich der Systemeigenschaften Hypertable vs. Ignite vs. Microsoft Azure Data Explorer vs. QuestDB vs. Speedb

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHypertable  Xaus Vergleich ausschliessenIgnite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenQuestDB  Xaus Vergleich ausschliessenSpeedb  Xaus Vergleich ausschliessen
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
KurzbeschreibungEine Open Source BigTable Implementation basierend auf Distributed File Systems wie HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully managed big data interactive analytics platformA high performance open source SQL database for time series dataAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primäres DatenbankmodellWide Column StoreKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedTime Series DBMSKey-Value Store
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
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,11
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte2,70
Rang#105  Overall
#8  Time Series DBMS
Punkte0,26
Rang#310  Overall
#45  Key-Value Stores
Websiteignite.apache.orgazure.microsoft.com/­services/­data-explorerquestdb.iowww.speedb.io
Technische Dokumentationapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerquestdb.io/­docs
EntwicklerHypertable Inc.Apache Software FoundationMicrosoftQuestDB Technology IncSpeedb
Erscheinungsjahr20092015201920142020
Aktuelle Version0.9.8.11, Maerz 2016Apache Ignite 2.6cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoGNU Version 3. Kommerzielle Lizenzen verfügbarOpen Source infoApache 2.0kommerziellOpen Source infoApache 2.0Open Source infoApache Version 2.0; commercial license available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++C++, Java, .NetJava (Zero-GC), C++, RustC++
Server BetriebssystemeLinux
OS X
Windows infoein inoffizieller Windows-Port ist verfügbar
Linux
OS X
Solaris
Windows
gehostetLinux
macOS
Windows
Linux
Windows
DatenschemaschemafreijaFixed schema with schema-less datatypes (dynamic)ja infoschema-free via InfluxDB Line Protocolschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjanein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajaneinnein
Sekundärindizeseingeschränkt infoNur Gleichheits- und Präfixabfragenjaall fields are automatically indexedneinnein
SQL infoSupport of SQLneinANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetSQL with time-series extensionsnein
APIs und andere ZugriffskonzepteC++ API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Unterstützte ProgrammiersprachenC++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
Perl
Python
Ruby
Server-seitige Scripts infoStored Proceduresneinyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, Rneinnein
Triggersneinyes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)horizontal partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenwählbarer Replikationsfaktor auf Filesystemebeneyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with eventual consistencyja
MapReduce infoBietet ein API für Map/Reduce Operationenjayes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinACID for single-table writesja
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 haltenjaneinja infothrough memory mapped filesja
Berechtigungskonzept infoZugriffskontrolleneinSecurity Hooks for custom implementationsAzure Active Directory Authenticationnein
Weitere Informationen bereitgestellt vom Systemhersteller
HypertableIgniteMicrosoft Azure Data ExplorerQuestDBSpeedb
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» mehr
Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
» mehr
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» mehr
Speedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» mehr
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» mehr
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» mehr
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» mehr
Open source - Speedb OSS is released under an Apache license and can be found on...
» mehr
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Weitere Ressourcen
HypertableIgniteMicrosoft Azure Data ExplorerQuestDBSpeedb
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