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1,269
entreprises
Nous disposons de données sur 1,269 entreprises qui utilisent Modern Data Stack. Notre liste de clients Modern Data Stack 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 |
---|---|---|---|---|
![]() Fivetran | États-Unis | Software Development | 1.3K | $12M |
![]() dbt Labs | États-Unis | Software Development | 462 | $11M |
sikwel GmbH | Italie | It Services And It Consulting | 1 | |
Atlan | États-Unis | Software Development | 346 | $3M |
Snowplow Analytics | Royaume-Uni | It Services And It Consulting | 160 | $12M |
Twilio | États-Unis | Software Development | 8.6K | $2.8B |
![]() Tatari | États-Unis | Advertising Services | 291 | $10M |
CLEAR | États-Unis | Consumer Services | 2K | |
![]() Metaplane | États-Unis | It Services And It Consulting | 35 | |
Xometry Inc. | États-Unis | It Services And It Consulting | 590 | $303M |
Ebury | Royaume-Uni | Financial Services | 1.6K | $300M |
![]() Astronomer | États-Unis | Software Development | 285 | $11M |
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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.
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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.
The Modern Data Stack represents a cutting-edge approach to managing and analyzing data within organizations. It encompasses a set of tools and technologies that enable businesses to streamline their data infrastructure, making it more agile, scalable, and efficient. By leveraging the Modern Data Stack, companies can centralize their data sources, perform advanced analytics, and derive valuable insights to drive informed decision-making.
In the realm of data management technologies, the Modern Data Stack falls under the category of "Other," distinguishing itself from traditional data warehousing solutions and newer trends like Data Lakes and Data Mesh. This category encapsulates a diverse array of tools and platforms designed to handle the complexities of modern data ecosystems, ranging from data ingestion and transformation to visualization and reporting.
The Modern Data Stack concept began to gain traction in the mid-2010s, pioneered by innovative tech companies seeking better ways to manage their rapidly growing data volumes. Early adopters like Fivetran, dbt, and Snowflake played a pivotal role in shaping the landscape of the Modern Data Stack by developing tools that addressed the shortcomings of legacy systems and promoted a more agile and collaborative approach to data analytics.
Currently, the Modern Data Stack holds a significant market share within the data management landscape, with a growing number of organizations embracing its principles and adopting related technologies. As businesses continue to prioritize data-driven strategies and seek more efficient ways to harness the power of their data, the Modern Data Stack is poised for further expansion. Market forecasts indicate a positive trajectory for the Modern Data Stack, with an increasing number of companies expected to invest in these technologies to drive innovation and gain a competitive edge.
Modern Data Stack is revolutionizing the way companies manage and analyze their data. By leveraging cutting-edge technologies, it offers a comprehensive solution that streamlines data operations, enhances analytics capabilities, and drives better decision-making processes.
Modern Data Stack simplifies the process of integrating data from various sources by providing seamless connectivity and automated workflows. Unlike traditional systems that require manual interventions and multiple tools, Modern Data Stack ensures efficiency and accuracy in data integration, saving time and resources for companies.
With Modern Data Stack, companies can scale their data infrastructure easily to accommodate growing data volumes and business needs. The flexibility and scalability of this technology enable organizations to adapt to changing requirements without major disruptions or investments, making it a cost-effective solution for long-term data management.
Modern Data Stack empowers companies with advanced analytics capabilities, including real-time data processing, predictive analytics, and machine learning integration. By harnessing these capabilities, organizations can derive valuable insights from their data efficiently and make informed decisions faster than ever before.
Modern Data Stack prioritizes data security by implementing robust encryption protocols, access controls, and monitoring mechanisms. Compared to traditional data systems that may have vulnerabilities, Modern Data Stack offers a more secure environment for sensitive data, ensuring compliance with data protection regulations and safeguarding critical information.
By centralizing data access and fostering collaboration among teams, Modern Data Stack enhances communication and decision-making processes across the organization. Its intuitive interfaces and shared dashboards enable seamless information sharing, promoting teamwork and alignment towards common business goals.
Some companies that use the Modern Data Stack include Spotify, Airbnb, and Uber. These companies have leveraged this technology to optimize their data processes and drive better business decisions. Let's take a look at some case studies of companies successfully implementing the Modern Data Stack:
Spotify
Spotify utilizes the Modern Data Stack to manage their vast amount of user data efficiently. By integrating tools like Snowflake for data warehousing and dbt for transformation, Spotify has streamlined its data pipeline and enhanced data analytics capabilities. They began implementing the Modern Data Stack in 2018, leading to faster insights and improved decision-making processes.
Airbnb
Airbnb harnesses the power of the Modern Data Stack to analyze customer behavior patterns and enhance personalized recommendations. Using tools like Apache Airflow for workflow management and Looker for data visualization, Airbnb started using the Modern Data Stack in 2017. This has enabled them to drive targeted marketing campaigns and provide a seamless user experience.
Uber
Uber relies on the Modern Data Stack to handle its extensive ride and user data effectively. By adopting technologies like BigQuery for data querying and Stitch for data integration, Uber has achieved real-time data processing and reporting capabilities. They implemented the Modern Data Stack in 2016, leading to improved operational efficiency and strategic decision-making.
These case studies highlight the diverse applications and benefits of the Modern Data Stack for companies across different industries. By embracing this technology, businesses can enhance data-driven decision-making, gain valuable insights, and stay competitive in the ever-evolving market landscape.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Modern Data Stack 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 1,269 entreprises qui utilisent Modern Data Stack.
Modern Data Stack est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Software Development", "Software Development", "It Services And It Consulting", "Software Development", "It Services And It Consulting", "Software Development", "Advertising Services", "Consumer Services", "It Services And It Consulting", "It Services And It Consulting". Pour une liste complète de tous les secteurs utilisant Modern Data Stack, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Modern Data Stack incluent Fivetran, dbt Labs, sikwel GmbH, Atlan, Snowplow Analytics, Twilio, Tatari, CLEAR, Metaplane, Xometry Inc. et bien d'autres encore. Vous pouvez trouver une liste complète des 1,269 entreprises qui utilisent Modern Data Stack sur TheirStack.com.
Selon nos données, Modern Data Stack est le plus populaire dans États-Unis (575 companies), Royaume-Uni (115 companies), France (49 companies), Allemagne (47 companies), Canada (33 companies), Australie (20 companies), Espagne (20 companies), Inde (17 companies), Brésil (14 companies), Pays-Bas (14 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Modern Data Stack 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.
Modern Data Stack est utilisé dans 42 pays