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It is a simple tool that helps you to build, run, schedule, and monitor complex pipelines of tasks. It handles dependency resolution so that tasks run in series or in parallel.
104
Unternehmen
Wir haben Daten zu 104 Unternehmen, die Digdag verwenden. Unsere Digdag 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 |
---|---|---|---|---|
Take-Two Interactive Software, Inc. | Vereinigte Staaten | It Services And It Consulting | 1K | $4.3B |
Meta | Vereinigte Staaten | Software Development | 120K | |
Sia Partners | Frankreich | Business Consulting And Services | 3.1K | $420M |
Facebook App | Deutschland | Technology, Information And Internet | 10K | |
IIRIS | Indien | Security And Investigations | 140 | $10M |
Alludo | Kanada | Software Development | 549 | $55M |
73rd Solution | Vereinigte Staaten | Nursing Homes And Residential Care Facilities | 14 | |
Fisker Inc | Vereinigte Staaten | Motor Vehicle Manufacturing | 1K | $75M |
Treasure Data | Vereinigte Staaten | Software Development | 1K | $80M |
イタンジ株式会社 | Japan | 24 | ||
![]() Mirakl | Frankreich | Software Development | 764 | $100M |
Sony Electronics | Vereinigte Staaten | Computers And Electronics Manufacturing | 22K | $75B |
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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.
Digdag wird in 10 Ländern verwendet
Es gibt 16 Alternativen zu Digdag
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.
Digdag is a modern workflow manager and scheduler written in Java that helps organizations orchestrate and automate their data workflows efficiently. It provides a simple and clean way to define workflows using YAML, giving users the flexibility to manage complex dependencies and schedule tasks easily. With Digdag, users can streamline their data pipelines, monitor job executions, and easily debug issues, making it a valuable tool for data engineers, analysts, and developers.
Digdag falls into the category of Workflow Managers, which specifically focus on coordinating the execution of tasks within a workflow to ensure seamless automation and efficiency. As a Workflow Manager, Digdag excels in handling data pipelines, job scheduling, and task dependencies, offering users a centralized platform to design, manage, and monitor their workflows. Its user-friendly interface and powerful features make it a popular choice among organizations looking to optimize their data processes.
Founded in 2013 by Sadayuki Furuhashi, Digdag was originally created to address the challenges faced by developers and data engineers in managing complex data workflows efficiently. Furuhashi's motivation behind Digdag was to simplify the process of defining and executing workflows, enabling users to focus on building robust data pipelines without the hassle of intricate configurations. Over the years, Digdag has evolved into a versatile workflow management tool, gaining traction in the tech community for its ease of use and scalability.
Currently, Digdag holds a significant market share within the Workflow Manager category, with a growing user base across various industries. As organizations continue to prioritize automation and streamlined workflows, the demand for efficient tools like Digdag is expected to increase. With its robust features, continuous updates, and strong community support, Digdag is poised to expand its market share and solidify its position as a leading workflow management solution in the foreseeable future.
Digdag is a versatile and innovative Workflow Manager tool that companies utilize to streamline their data processing and workflow orchestration. With its user-friendly interface and robust features, Digdag provides a wide array of benefits that set it apart from other similar technologies in the market.
Digdag allows companies to automate and schedule complex workflows with ease, reducing manual intervention and minimizing errors. Compared to traditional workflow management tools, Digdag offers a more intuitive and straightforward approach to creating and managing workflows, resulting in increased operational efficiency.
One of the key advantages of Digdag is its scalability, enabling companies to effortlessly scale their workflow operations based on evolving business needs. Unlike rigid workflow solutions, Digdag offers flexibility in adapting to changing requirements, making it a preferred choice for companies aiming for growth and agility.
Digdag provides real-time monitoring capabilities, allowing companies to track the progress of workflows and receive instant alerts in case of issues or failures. This proactive approach ensures timely intervention and prevents potential disruptions, giving companies a competitive edge in operations management.
Digdag offers seamless integration with a wide range of data sources and tools, making it easier for companies to connect various systems and applications within their workflow environment. This interoperability enhances data flow and collaboration across different platforms, promoting synergy and productivity within the organization.
With Digdag, companies can leverage advanced scheduling features to optimize workflow execution based on specific parameters such as time, dependencies, and resources. This granular control over scheduling allows for efficient resource allocation and prioritization, resulting in optimized performance and enhanced output delivery.
For companies looking to enhance their workflow management capabilities, Digdag stands out as a comprehensive and effective solution that empowers organizations to achieve operational excellence and drive business growth.
Some companies that leverage Digdag as a workflow manager include Uber, Twitch, and Rakuten. These organizations have successfully integrated Digdag into their tech stacks to streamline and manage their data workflows effectively.
Uber: Uber utilizes Digdag as its primary workflow manager tool to orchestrate various data pipelines, ensuring data consistency and efficiency across its operations. The company started using Digdag in 2017 to automate data processing tasks, allowing for faster insights generation and improved decision-making processes.
Twitch: Twitch, a popular live streaming platform, adopted Digdag to handle its complex data workflows seamlessly. By implementing Digdag in 2019, Twitch was able to automate data ingestion processes, monitor workflow executions, and enhance the scalability of its data infrastructure, leading to improved operational efficiencies.
Rakuten: Rakuten, a multinational e-commerce company, relies on Digdag to manage its data pipelines and facilitate data processing tasks smoothly. Since integrating Digdag into its tech stack in 2018, Rakuten has significantly optimized its data operations, enabling faster data analysis and enhancing overall data quality for better business insights.
These case studies highlight how prominent companies such as Uber, Twitch, and Rakuten have effectively implemented Digdag as a workflow manager, showcasing the tool's versatility and impact on optimizing data workflows and enhancing operational efficiency.
Sie können eine aktuelle Liste von Unternehmen, die Digdag 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 104 Unternehmen, die Digdag verwenden.
Digdag wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "It Services And It Consulting", "Software Development", "Business Consulting And Services", "Technology, Information And Internet", "Security And Investigations", "Software Development", "Nursing Homes And Residential Care Facilities", "Motor Vehicle Manufacturing", "Software Development", verwendet. Für eine umfassende Liste aller Branchen, die Digdag nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Digdag verwenden, umfassen Take-Two Interactive Software, Inc., Meta, Sia Partners, Facebook App, IIRIS, Alludo, 73rd Solution, Fisker Inc, Treasure Data, イタンジ株式会社 und viele mehr. Sie können eine vollständige Liste von 104 Unternehmen, die Digdag nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Digdag am beliebtesten in Vereinigte Staaten (27 companies), Japan (9 companies), Vereinigtes Königreich (6 companies), Kanada (4 companies), Spanien (4 companies), Indien (3 companies), Frankreich (2 companies), Österreich (1 companies), China, Volksrepublik (1 companies), Deutschland (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Digdag 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.