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DBMS > Databricks vs. Fauna vs. ScyllaDB vs. Vertica

Vergleich der Systemeigenschaften Databricks vs. Fauna vs. ScyllaDB vs. Vertica

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NameDatabricks  Xaus Vergleich ausschliessenFauna infopreviously named FaunaDB  Xaus Vergleich ausschliessenScyllaDB  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Cassandra and DynamoDB compatible wide column storeCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellDocument Store
Relational DBMS
Document Store
Graph DBMS
Relational DBMS
Time Series DBMS
Wide Column StoreRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleKey-Value StoreSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte78,61
Rang#15  Overall
#2  Document Stores
#10  Relational DBMS
Punkte1,52
Rang#153  Overall
#26  Document Stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Punkte4,75
Rang#68  Overall
#5  Wide Column Stores
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websitewww.databricks.comfauna.comwww.scylladb.comwww.vertica.com
Technische Dokumentationdocs.databricks.comdocs.fauna.comdocs.scylladb.comvertica.com/­documentation
EntwicklerDatabricksFauna, Inc.ScyllaDBOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr2013201420152005
Aktuelle VersionScyllaDB Open Source 5.4.1, Jaenner 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoOpen Source (AGPL), commercial license availablekommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
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
ImplementierungsspracheScalaC++C++
Server BetriebssystemegehostetgehostetLinuxLinux
DatenschemaFlexible Schema (defined schema, partial schema, schema free)schemafreischemafreiYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinneinnein
Sekundärindizesjajaja infocluster global secondary indicesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLwith Databricks SQLneinSQL-like DML and DDL statements (CQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIProprietäres Protokoll infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenPython
R
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
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
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenbenutzerdefinierte Funktionenyes, Luayes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierung infoconsistent hashingShardinghorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaMulti-Source Replikationfrei wählbarer Replikationsfaktor infoRepresentation of geographical distribution of servers is possibleMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDnein infoAtomicity and isolation are supported for single operationsACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinja infoin-memory tablesnein
Berechtigungskonzept infoZugriffskontrolleIdentity management, authentication, and access controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
DatabricksFauna infopreviously named FaunaDBScyllaDBVertica infoOpenText™ Vertica™
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
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Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are both available. One license is...
» mehr

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Weitere Ressourcen
DatabricksFauna infopreviously named FaunaDBScyllaDBVertica infoOpenText™ Vertica™
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