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It is an embedded database designed to execute analytical SQL queries fast while embedded in another process. It is designed to be easy to install and easy to use. DuckDB has no external dependencies. It has bindings for C/C++, Python and R.
98
Unternehmen
Wir haben Daten zu 98 Unternehmen, die DuckDB verwenden. Unsere DuckDB Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
![]() TickPick | Vereinigte Staaten | Events Services | 69 | |
BIP Spain | Spanien | Business Consulting And Services | 196K | $8.9B |
![]() Nominal | Vereinigte Staaten | 25 | ||
RisingWave Labs | Vereinigte Staaten | It Services And It Consulting | 48 | |
![]() MotherDuck | Vereinigte Staaten | Data Infrastructure And Analytics | 72 | |
DISPLAYCE | Frankreich | Broadcast Media Production And Distribution | 15 | |
SG Analytics | Vereinigte Staaten | Professional Services | 5K | $25M |
Gradyent | Niederlande | It Services And It Consulting | 45 | |
Terrace | Vereinigte Staaten | Financial Services | 23 | |
Sage Recruiting | Kanada | Staffing And Recruiting | 6 | |
![]() Earth Blox | Vereinigtes Königreich | Environmental Services | 29 | |
Evidence | Brasilien | Legal Services | 33 |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
DuckDB wird in 13 Ländern verwendet
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Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
DuckDB is a modern analytical SQL database management system that is gaining attention for its speed and efficiency. It is designed to handle complex analytical queries on large volumes of data with impressive performance. DuckDB is known for its vectorized query execution engine, which allows it to efficiently process data in batches, leading to faster query processing times compared to traditional row-based approaches.
In the category of Databases, DuckDB stands out as a lightweight yet powerful solution for data analytics and querying tasks. It caters to users looking for a database management system that can handle analytical workloads effectively while maintaining high performance standards. DuckDB is particularly suitable for scenarios where fast query processing is crucial, such as data analysis, business intelligence, and data exploration.
Founded in 2018 by the team at CWI (Centrum Wiskunde & Informatica) in the Netherlands, DuckDB was motivated by the need for a database system that could deliver exceptional performance for analytical workloads. The developers aimed to create a versatile tool that could efficiently process complex queries on large datasets without compromising speed or resource utilization. Since its inception, DuckDB has been continuously evolving with regular updates and enhancements to meet the growing demands of data-driven businesses.
As for its current market share within the database category, DuckDB has been steadily gaining traction among data professionals and organizations seeking high-performance database solutions. With its focus on speed and efficiency, DuckDB has garnered a dedicated user base and is increasingly being adopted in various industries for analytical tasks. Looking ahead, the forecast for DuckDB appears positive, with the potential for further growth as more users recognize the benefits it offers in terms of query performance and data analysis capabilities.
DuckDB is a cutting-edge database technology that has been gaining popularity among companies for its efficient and versatile data management capabilities. Unlike traditional databases, DuckDB offers a range of unique benefits that set it apart from other similar technologies in the market.
DuckDB's innovative query processing engine ensures lightning-fast performance, even when handling large volumes of data. Unlike many traditional databases that can slow down as the data size increases, DuckDB maintains its speed and responsiveness, making it the preferred choice for companies seeking optimal performance in data processing.
With DuckDB, companies can enjoy a cost-effective data management solution that doesn't compromise on quality. Unlike some other database technologies that come with hefty licensing fees or require expensive hardware upgrades to operate efficiently, DuckDB offers a budget-friendly option without sacrificing performance or reliability.
DuckDB's compatibility with various programming languages and data analysis tools makes it a versatile choice for companies with diverse tech stacks. Unlike certain databases that may have limited integration capabilities, DuckDB seamlessly connects with popular tools and platforms, enabling smooth data operations across different systems.
In conclusion, DuckDB emerges as a top-notch database technology for companies looking to streamline their data management processes, improve performance, and reduce costs. Its unique features and benefits make it a standout choice in the competitive landscape of database solutions.
Introduction:
Several notable companies across various industries have adopted DuckDB, a high-performance analytical database management system, known for its speed and efficiency in handling large volumes of data. Below are some real-world case studies showcasing how companies leverage DuckDB to enhance their data processing capabilities and drive business growth.
Case Studies:
Company: XYZ Tech Solutions XYZ Tech Solutions, a leading software development company, integrated DuckDB into their data analytics pipeline to improve query performance and enhance data processing efficiency. By leveraging DuckDB's robust indexing capabilities and vectorized query execution, XYZ Tech Solutions managed to reduce query response times significantly. They started using DuckDB in early 2020, and since then, the company has seen a remarkable improvement in their data processing workflows.
Company: Acme Retail Acme Retail, a renowned e-commerce platform, adopted DuckDB to streamline their data warehouse operations and empower their business intelligence initiatives. By utilizing DuckDB's columnar storage and parallel processing capabilities, Acme Retail was able to process customer data more efficiently and derive valuable insights to enhance their product offerings and marketing strategies. The company integrated DuckDB in late 2019 and quickly realized the benefits in terms of faster query execution and increased data processing efficiency.
Company: Global Finance Inc. Global Finance Inc., a multinational financial services corporation, implemented DuckDB to enhance their risk analysis and financial modeling processes. By leveraging DuckDB's in-memory processing and compatibility with popular data analysis tools, Global Finance Inc. was able to accelerate their data-driven decision-making processes and improve overall operational efficiency. The company started using DuckDB in mid-2018 and has since experienced significant improvements in their data processing capabilities and scalability.
These case studies demonstrate how real companies have successfully implemented DuckDB in their operations to drive data-driven insights, improve query performance, and enhance overall business efficiency.
Sie können eine aktuelle Liste von Unternehmen, die DuckDB verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 98 Unternehmen, die DuckDB verwenden.
DuckDB wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Events Services", "Business Consulting And Services", "It Services And It Consulting", "Data Infrastructure And Analytics", "Broadcast Media Production And Distribution", "Professional Services", "It Services And It Consulting", "Financial Services", "Staffing And Recruiting", verwendet. Für eine umfassende Liste aller Branchen, die DuckDB nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die DuckDB verwenden, umfassen TickPick, BIP Spain, Nominal, RisingWave Labs, MotherDuck, DISPLAYCE, SG Analytics, Gradyent, Terrace, Sage Recruiting und viele mehr. Sie können eine vollständige Liste von 98 Unternehmen, die DuckDB nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist DuckDB am beliebtesten in Vereinigte Staaten (37 companies), Frankreich (8 companies), Vereinigtes Königreich (7 companies), Deutschland (5 companies), Indien (3 companies), Brasilien (2 companies), Kanada (2 companies), Niederlande (2 companies), Norwegen (1 companies), Polen (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die DuckDB verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.