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It replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git, while storing the file contents on a remote server like GitHub.com or GitHub Enterprise.
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Unternehmen
Wir haben Daten zu 70 Unternehmen, die Git LFS verwenden. Unsere Git LFS 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 |
---|---|---|---|---|
Epoch Games | Vereinigte Staaten | Computer Games | 34 | |
Interior Logic Group | Vereinigte Staaten | Architecture And Planning | 1.2K | $1.8B |
Torch Technologies, Inc. | Vereinigte Staaten | Defense And Space Manufacturing | 1.1K | |
Mindera | Vereinigtes Königreich | Software Development | 949 | $26M |
Beechwoods Software | Vereinigte Staaten | Software Development | 17 | $35M |
Technicolor Creative Studios | Vereinigte Staaten | Entertainment Providers | 16K | |
Paramount | Vereinigte Staaten | Entertainment Providers | 41K | $30B |
Cisco Systems | Vereinigte Staaten | It Services And It Consulting | 101K | $53B |
Cisco | Vereinigte Staaten | Software Development | 98K | $52B |
Future Processing | Polen | It Services And It Consulting | 870 | $60M |
dSPACE GmbH | Deutschland | It Services And It Consulting | 1.1K | $350M |
Warner Bros. Discovery | Vereinigte Staaten | Entertainment Providers | 39K |
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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.
Git LFS wird in 11 Ländern verwendet
Es gibt 12 Alternativen zu Git LFS
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.
Git LFS, or Git Large File Storage, is a technology designed to handle large files within the Git version control system. It functions as an extension to Git and replaces large files such as audio samples, datasets, and graphics with text pointers inside the Git repository. By doing so, it allows efficient storage and versioning of large files without compromising on performance. Git LFS is particularly beneficial for teams working with large assets in their development projects.
Git LFS falls under the category of Git Tools, which encompasses various tools and extensions aimed at enhancing the functionality of the Git version control system. Git Tools are crucial for developers and teams working collaboratively on software projects, as they provide additional features and capabilities beyond the core Git functionalities. Git LFS specifically addresses the challenge of managing large binary files efficiently within the Git environment, thereby streamlining the workflow for teams dealing with multimedia or data-intensive projects.
Git LFS was founded in 2015 by GitHub, with the primary motivation being to improve the handling of large files in Git repositories. As software projects evolved to include more multimedia content and large datasets, the demand for a solution that could effectively manage such files within Git became apparent. GitHub's introduction of Git LFS aimed to address this need by providing a specialized tool for managing large files while leveraging the familiar Git workflow.
In terms of market share, Git LFS has gained significant adoption within the development community since its launch. As more teams adopt a version control system like Git for their projects, the need for efficient handling of large files continues to grow. Git LFS offers a robust solution to this specific challenge, making it a popular choice among development teams working with multimedia assets and large datasets. With the increasing emphasis on data-driven applications and multimedia content in software development, the market share of Git LFS is expected to continue growing in the future as more teams recognize the benefits it offers in managing large files within Git repositories.
Git Large File Storage (Git LFS) is a crucial technology utilized by companies to efficiently manage large files within their version control system. As modern projects often involve hefty files such as multimedia assets, databases, and more, Git LFS plays a vital role in enhancing version control capabilities.
Git LFS optimizes the handling of large files by storing them outside the regular Git repository. This results in faster cloning, fetching, and pushing processes compared to traditional Git, ensuring smoother collaboration and workflow efficiency.
By referencing large files instead of storing them directly in the repository, Git LFS helps in keeping the overall repository size manageable. This prevents the bloating of the repository with large, binary files, leading to quicker operations and lower storage costs.
Git LFS maintains file versioning while handling large assets seamlessly. This ensures that historical file versions are easily accessible, facilitating better traceability and collaboration across teams working on projects with significant file assets.
With Git LFS, teams can collaborate on projects containing large files without the common bottlenecks experienced with traditional Git. The ability to work on multimedia assets and other sizable files efficiently enhances team productivity and project delivery speed.
Git LFS provides granular control over large file versions, enabling teams to track changes and manage file history effectively. This level of versioning and tracking goes beyond what many other similar technologies offer, ensuring robust file management capabilities within the version control system.
Some notable companies that use Git LFS include Adobe, Unity Technologies, and NVIDIA. Git LFS (Large File Storage) is commonly employed by organizations that handle large files within their version control systems. Below are a few case studies of companies leveraging Git LFS in their workflows:
Adobe: Adobe, a global leader in digital media and creativity software, utilizes Git LFS for managing their extensive library of multimedia assets. Since adopting Git LFS in 2018, Adobe has been able to efficiently version control and collaborate on large files such as high-resolution images, videos, and design files across their diverse creative teams.
Unity Technologies: Unity Technologies, a renowned platform for creating and operating real-time 3D content, integrated Git LFS into their development pipeline to handle the increasing volume of large binary assets associated with game development. By incorporating Git LFS in 2017, Unity Technologies improved the speed and scalability of their version control system while enabling seamless collaboration among their distributed teams.
NVIDIA: NVIDIA, a prominent technology company known for its graphics processing units (GPUs) and AI solutions, relies on Git LFS to manage the large datasets and models involved in their deep learning projects. Since implementing Git LFS in 2016, NVIDIA has streamlined the storage and sharing of massive files crucial for training neural networks, enhancing productivity, and enabling rapid experimentation in their AI research and development endeavors.
These real-world examples demonstrate how companies like Adobe, Unity Technologies, and NVIDIA have successfully incorporated Git LFS into their tech stacks to address the challenges posed by handling large files effectively within their version control systems.
Sie können eine aktuelle Liste von Unternehmen, die Git LFS 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 70 Unternehmen, die Git LFS verwenden.
Git LFS wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Computer Games", "Architecture And Planning", "Defense And Space Manufacturing", "Software Development", "Software Development", "Entertainment Providers", "Entertainment Providers", "It Services And It Consulting", "Software Development", "It Services And It Consulting", verwendet. Für eine umfassende Liste aller Branchen, die Git LFS nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Git LFS verwenden, umfassen Epoch Games, Interior Logic Group, Torch Technologies, Inc., Mindera, Beechwoods Software, Technicolor Creative Studios, Paramount, Cisco Systems, Cisco, Future Processing und viele mehr. Sie können eine vollständige Liste von 70 Unternehmen, die Git LFS nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Git LFS am beliebtesten in Vereinigte Staaten (32 companies), Vereinigtes Königreich (9 companies), Frankreich (4 companies), Deutschland (3 companies), Kanada (2 companies), Indien (2 companies), Zypern (1 companies), Niederlande (1 companies), Philippinen (1 companies), Polen (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Git LFS 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.