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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Drill  Xaus Vergleich ausschliessenBlueflood  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenScyllaDB  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 platformCassandra and DynamoDB compatible wide column store
Primäres DatenbankmodellDocument Store
Relational DBMS
Time Series DBMSKey-Value Store
Wide Column Store
Relational DBMS infocolumn orientedWide Column 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
Key-Value Store
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
Punkte4,08
Rang#76  Overall
#5  Wide Column Stores
Websitedrill.apache.orgblueflood.iocloud.google.com/­bigtableazure.microsoft.com/­services/­data-explorerwww.scylladb.com
Technische Dokumentationdrill.apache.org/­docsgithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­bigtable/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.scylladb.com
EntwicklerApache Software FoundationRackspaceGoogleMicrosoftScyllaDB
Erscheinungsjahr20122013201520192015
Aktuelle Version1.20.3, Jaenner 2023cloud service with continuous releasesScyllaDB Open Source 5.4.1, Jaenner 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0kommerziellkommerziellOpen Source infoOpen Source (AGPL), commercial license 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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
ImplementierungsspracheJavaC++
Server BetriebssystemeLinux
OS X
Windows
Linux
OS X
gehostetgehostetLinux
Datenschemaschemafreivordefiniertes SchemaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
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 infocluster global secondary indices
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantneinneinKusto Query Language (KQL), SQL subsetSQL-like DML and DDL statements (CQL)
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
Proprietäres Protokoll infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Unterstützte ProgrammiersprachenC++C#
C++
Go
Java
JavaScript (Node.js)
Python
.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 Proceduresbenutzerdefinierte FunktionenneinneinYes, possible languages: KQL, Python, Ryes, Lua
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
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.frei wählbarer Replikationsfaktor infoRepresentation of geographical distribution of servers is possible
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
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
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinAtomic single-row operationsneinnein infoAtomicity and isolation are supported for single operations
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 sourceneinneinneinja infoin-memory tables
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 AuthenticationAccess rights for users can be defined per object
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DrillBluefloodGoogle Cloud BigtableMicrosoft Azure Data ExplorerScyllaDB
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...
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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

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Weitere Ressourcen
Apache DrillBluefloodGoogle Cloud BigtableMicrosoft Azure Data ExplorerScyllaDB
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