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DBMS > SQream DB

SQream DB Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit SQream DB zu vergleichen.

Unsere Besucher vergleichen SQream DB oft mit DuckDB, PostgreSQL und Weaviate.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameSQream DB
Kurzbeschreibunga GPU-based, columnar RDBMS for big data analytics workloads
Primäres DatenbankmodellRelational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,96
Rang#235  Overall
#108  Relational DBMS
Websitesqream.com
Technische Dokumentationdocs.sqream.com
EntwicklerSQream Technologies
Erscheinungsjahr2017
Aktuelle Version2022.1.6, Dezember 2022
Lizenz infoCommercial or Open Sourcekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++, CUDA, Haskell, Java, Scala
Server BetriebssystemeLinux
Datenschemaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, ANSI Standard SQL Types
Sekundärindizesnein
SQL infoSupport of SQLja
APIs und andere Zugriffskonzepte.Net
JDBC
ODBC
Unterstützte ProgrammiersprachenC++
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresuser defined functions in Python
Triggersnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontal and vertical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeine
MapReduce infoBietet ein API für Map/Reduce Operationennein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
Weitere Informationen bereitgestellt vom Systemhersteller
SQream DB
Specific characteristics

SQream allows companies to get answers from its data and get new business-insights that were unattainable before at an exceptional speed. 

SQreamDB is an SQL database that is utilizing GPUs in order to get faster insights on more data.

SQreamDB is optimized for big data analytics at a petabyte scale. Its GPU-based technology is optimized for executing multiple simple operations and tasks at the same time. SQream is not running only on the GPU, but offloading the most complicated tasks at every query.  

SQreamDB can be used as a traditional data warehouse, as well as serve for complex data preparation use cases or as a query engine above a data lake. 

SQreamDB is an on-prem product and is also cloud-enabled for private clouds. 


Leading organizations in telecom, manufacturing, finance, and additional industries around the world use SQreamDB to accelerate business intelligence and gain more value from their data.


Competitive advantages
  • Scalability when processing bigger datasets. 

  • Faster business insights, with more complex queries. 

  • Lower TCO.

  • Less physical hardware.

  • Smaller carbon footprint.

Typical application scenarios

What can you do with 100x faster SQL analytics?

  • Better and more timely decision-making, on your most complicated and bigger business questions.

  • More reliable ML models.

  • Faster data preparation for ML models.

  • More personalized customer experience and increased loyalty

  • Optimized business and operational efficiency.

TELECOM

  • Customer 360
  • Competitive Analysis
  • Network Optimization

FINANCE

  • Fraud Analysis
  • Risk Consolidation
  • Customized Services

Manufacturing

  • Peta-scale IoT analytics
  • Data silos consolidation

RETAIL

  • Monitor Competitors
  • Customer Experience
  • Operational Decisions
Key customers

Some of our customers include: LG-U+, AIS , ACL Mobile, Pubmatic, Telkomsel, LG Electronics

Neuigkeiten

A Detailed Guide to Big Data Architecture
11. Mai 2023

A Guide to Apache Iceberg and Its Key Features
24. April 2023

An Introduction to Trino for Big Data
4. April 2023

Data Mesh and Its Architecture: What You Need to Know
1. Januar 2023

Avro vs Parquet: Which File Format Is Right for Your Data?
15. September 2022

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
SQream DB
Erwähnungen in aktuellen Nachrichten

SQream Technologies raises $39.4 million for GPU-accelerated databases
24. Juni 2020, VentureBeat

In A Parallel Universe, Data Warehouses Run On GPUs
4. Oktober 2018, The Next Platform

Stretching GPU Database Performance With Flash Arrays
26. Februar 2019, The Next Platform

Beyond the Delta: Compression is a Must for Big Data
8. Oktober 2018, insideBIGDATA

Accelerated Databases In The Fast Lane
25. Juni 2020, The Next Platform

bereitgestellt von Google News



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