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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 HEAVY.AI, Snowflake und Kinetica.

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
Punkte0,60
Rang#221  Overall
#108  Relational DBMS
Websitesqream.com
Technische Dokumentationdocs.sqream.com
EntwicklerSQream Technologies
Erscheinungsjahr2014
Aktuelle Version2021.2, September 2021
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
Sekundärindizesja
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

Due to exponentially growing data, organizations today are facing slowdowns, with analytics taking hours or even days. Time-consuming data preparation is needed for each change in perspective, and some complex analytics simply cannot be done.

SQream DB is a complementary SQL database that accelerates analytics on massive datasets.

SQream DB works as a speed layer alongside enterprises' MPP ecosystems, reducing long-running queries of terabytes to petabytes of data from days to hours and hours to minutes or even seconds. With SQream DB's GPU-accelerated processing power, enterprises can analyze a much larger portion of their historical and fresh data - for more accurate insights, better predictions, more reliable AI models, and better business decisions.

SQream DB analyzes raw data directly, enabling data scientists and BI analysts to freely explore their data from a variety of perspectives and dimensions, without the need for arduous preparation.  

Leading organizations in telecom, retail, healthcare, finance, and additional industries around the world use SQream DB to accelerate business intelligence and gain access to previously inaccessible business insights.

Competitive advantages
  • Much faster time to insight
  • Analyze significantly more data
  • Achieve previously unobtainable insights
  • Minimize time spent on data preparation, increase exploration
Typical application scenarios

What can you do with 100x faster SQL analytics?

  • Better and more timely decision making
  • More reliable AI models
  • Improved predictions and risk management
  • 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

HEALTHCARE

  • Care Management
  • IoT Devices
  • Genomic Research

RETAIL

  • Monitor Competitors
  • Customer Experience
  • Operational Decisions
Key customers

Some of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile, Cellcom, Orange S.A., Sheba Medical Center

Neuigkeiten

SQream Appoints Naama Saar as New COO
16. Mai 2022

Panoply Partners with Square to Offer Simplified Business Intelligence
16. Mai 2022

PANOPLY PARTNERS WITH SQUARE
16. Mai 2022

The 50 most promising Israeli startups – 2022
11. Mai 2022

The Big Data ‘Tribrid’ Dump: Cloud And Edge Are Actually On-Prem
11. Mai 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

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

How big data can save lives
24. August 2015, ISRAEL21c

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

Chinese giant Alibaba leads investment round in Israel big-data startup
30. Mai 2018, The Times of Israel

bereitgestellt von Google News



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