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
entreprises
Nous disposons de données sur 98 entreprises qui utilisent DuckDB. Notre liste de clients DuckDB est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
![]() TickPick | États-Unis | Events Services | 69 | |
BIP Spain | Espagne | Business Consulting And Services | 196K | $8.9B |
![]() Nominal | États-Unis | 25 | ||
RisingWave Labs | États-Unis | It Services And It Consulting | 48 | |
![]() MotherDuck | États-Unis | Data Infrastructure And Analytics | 72 | |
DISPLAYCE | France | Broadcast Media Production And Distribution | 15 | |
SG Analytics | États-Unis | Professional Services | 5K | $25M |
Gradyent | Pays-Bas | It Services And It Consulting | 45 | |
Terrace | États-Unis | Financial Services | 23 | |
Sage Recruiting | Canada | Staffing And Recruiting | 6 | |
![]() Earth Blox | Royaume-Uni | Environmental Services | 29 | |
Evidence | Brésil | Legal Services | 33 |
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Inscrivez-vous et téléchargez la liste complète des 98 entreprises.
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
DuckDB est utilisé dans 13 pays
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
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.
Vous pouvez accéder à une liste actualisée des entreprises utilisant DuckDB en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 98 entreprises qui utilisent DuckDB.
DuckDB est utilisé par une large gamme d'organisations dans divers secteurs, y compris "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". Pour une liste complète de tous les secteurs utilisant DuckDB, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent DuckDB incluent TickPick, BIP Spain, Nominal, RisingWave Labs, MotherDuck, DISPLAYCE, SG Analytics, Gradyent, Terrace, Sage Recruiting et bien d'autres encore. Vous pouvez trouver une liste complète des 98 entreprises qui utilisent DuckDB sur TheirStack.com.
Selon nos données, DuckDB est le plus populaire dans États-Unis (37 companies), France (8 companies), Royaume-Uni (7 companies), Allemagne (5 companies), Inde (3 companies), Brésil (2 companies), Canada (2 companies), Pays-Bas (2 companies), Norvège (1 companies), Pologne (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant DuckDB en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.
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