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DBMS > Apache Drill vs. Blueflood vs. Google Cloud Bigtable vs. Microsoft Azure Data Explorer vs. TypeDB

Vergleich der Systemeigenschaften Apache Drill vs. Blueflood vs. Google Cloud Bigtable vs. Microsoft Azure Data Explorer vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Drill  Xaus Vergleich ausschliessenBlueflood  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
KurzbeschreibungSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageSkalierbare Timeseries DBMS basierend auf CassandraGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Fully managed big data interactive analytics platformTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primäres DatenbankmodellDocument Store
Relational DBMS
Time Series DBMSKey-Value Store
Wide Column Store
Relational DBMS infocolumn orientedGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,02
Rang#124  Overall
#22  Document Stores
#59  Relational DBMS
Punkte0,13
Rang#346  Overall
#33  Time Series DBMS
Punkte3,15
Rang#95  Overall
#14  Key-Value Stores
#8  Wide Column Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,70
Rang#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitedrill.apache.orgblueflood.iocloud.google.com/­bigtableazure.microsoft.com/­services/­data-explorertypedb.com
Technische Dokumentationdrill.apache.org/­docsgithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­bigtable/­docsdocs.microsoft.com/­en-us/­azure/­data-explorertypedb.com/­docs
EntwicklerApache Software FoundationRackspaceGoogleMicrosoftVaticle
Erscheinungsjahr20122013201520192016
Aktuelle Version1.20.3, Jaenner 2023cloud service with continuous releases2.26.3, Jaenner 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0kommerziellkommerziellOpen Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJava
Server BetriebssystemeLinux
OS X
Windows
Linux
OS X
gehostetgehostetLinux
OS X
Windows
Datenschemaschemafreivordefiniertes SchemaschemafreiFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaneinja 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
Sekundärindizesneinneinneinall fields are automatically indexedja
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantneinneinKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteJDBC
ODBC
RESTful HTTP API
HTTP RESTgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Unterstützte ProgrammiersprachenC++C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenneinneinYes, possible languages: KQL, Python, Rnein
Triggersneinneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infobasierend auf CassandraShardingSharding infoImplicit feature of the cloud serviceSharding infoby using Cassandra
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor infobasierend auf CassandraInternal replication in Colossus, and regional replication between two clusters in different zonesja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation infoby using Cassandra
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja infoby using Apache Kafka and Apache Zookeeper
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineEventual Consistency infobasierend auf Cassandra
Immediate Consistency infobasierend auf Cassandra
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinAtomic single-row operationsneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der DatenDepending on the underlying data sourcejajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenDepending on the underlying data sourceneinneinneinnein
Berechtigungskonzept infoZugriffskontrolleDepending on the underlying data sourceneinAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Azure Active Directory Authenticationyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DrillBluefloodGoogle Cloud BigtableMicrosoft Azure Data ExplorerTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
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Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» mehr
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
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Weitere Ressourcen
Apache DrillBluefloodGoogle Cloud BigtableMicrosoft Azure Data ExplorerTypeDB infoformerly named Grakn
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