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It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
4,110
Unternehmen
Wir haben Daten zu 4,110 Unternehmen, die Spring Data verwenden. Unsere Spring Data 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 |
---|---|---|---|---|
Intellibus | Vereinigte Staaten | It Services And It Consulting | 66 | |
Incoming Domain | Spanien | 100 | ||
BADAK Soluciones de TI | Mexiko | It Services And It Consulting | 96 | |
Senior Sistemas | Brasilien | Software Development | 2.9K | $25M |
JPMorgan Chase Bank, N.A. | Vereinigte Staaten | Financial Services | 76K | $135M |
EPAM Systems | Vereinigte Staaten | It Services And It Consulting | 61K | $4.8B |
GFT Technologies SE | Deutschland | It Services And It Consulting | 10K | $718M |
Infosys | Indien | It Services And It Consulting | 315K | $17B |
Vodafone | Vereinigtes Königreich | Telecommunications | 137K | $60B |
Barclays | Vereinigtes Königreich | Financial Services | 81K | $31B |
PicPay | Brasilien | Financial Services | 5.3K | $150M |
DBS Bank | Singapur | Banking | 35K | $340M |
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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.
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Spring Data wird in 61 Ländern verwendet
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.
Spring Data is a framework that simplifies the development of data access layers in Java applications. It provides a unified and easy-to-use way to interact with different data sources and databases, reducing the amount of boilerplate code typically required for such tasks. By abstracting away the complexities of data access, developers can focus on writing business logic rather than dealing with low-level database operations.
Spring Data falls under the category of Database Tools, specifically designed to streamline database interactions for Java applications. It offers support for various data access technologies such as JPA (Java Persistence API), MongoDB, Redis, and more. This flexibility allows developers to work with different data stores seamlessly, adapting to the specific requirements of their projects without the need to switch between different frameworks.
Initially founded in 2012 by the Spring team at Pivotal Software (now part of VMware), Spring Data aimed to address the challenges associated with traditional data access methods in Java development. The motivation behind its creation was to provide a more efficient and standardized approach to data access, enabling developers to build robust and scalable applications more effectively.
As of the latest data available, Spring Data enjoys a significant market share within the Database Tools category, with a growing trend expected to continue in the future. The framework's popularity among Java developers, coupled with ongoing updates and enhancements, positions it as a key player in the data access ecosystem. With the increasing demand for reliable and efficient data management solutions, Spring Data is anticipated to further expand its market presence and influence in the coming years.
Spring Data is a popular choice among companies for efficient data access within their applications. By utilizing Spring Data, companies can streamline database operations, enhance performance, and improve overall productivity. The benefits of using Spring Data extend beyond traditional data management tools, making it a preferred option for many organizations in the Database Tools category.
Spring Data simplifies the process of data access by providing a cohesive abstraction layer over various data sources. This abstraction eliminates the need for boilerplate code, resulting in cleaner and more concise data access logic. Compared to manual data access methods, Spring Data offers a more streamlined approach, saving developers time and effort.
Through its integration with caching mechanisms and optimized query execution strategies, Spring Data significantly boosts application performance. By reducing the number of database queries and caching frequently accessed data, Spring Data helps minimize latency issues and enhance overall system responsiveness. This performance optimization sets Spring Data apart from traditional data access frameworks, making it an optimal choice for high-traffic applications.
One of the key advantages of using Spring Data is its seamless integration with other Spring ecosystem components. This tight integration allows for easy configuration, testing, and deployment of data access components within the Spring framework. Compared to standalone database tools, Spring Data offers a cohesive and well-coordinated solution, ensuring consistency and compatibility across the entire application stack.
By providing out-of-the-box support for common data access patterns and reducing the complexity of database operations, Spring Data enables developers to focus on business logic rather than low-level database interactions. This productivity boost translates to faster development cycles, easier maintenance, and overall improved developer efficiency. Spring Data's emphasis on developer productivity makes it a preferred choice for companies looking to streamline their data access workflows.
Spring Data is a popular technology among various companies in the Database Tools category, offering a powerful way to access and work with data in Spring-based applications. Here are some real-world case studies of companies leveraging Spring Data effectively:
1. Netflix Netflix, the renowned streaming service, utilizes Spring Data to enhance its data access layer for various functionalities such as personalized recommendations, content delivery optimization, and user analytics. They started incorporating Spring Data into their architecture several years ago to improve data management and overall system performance.
2. Shopify Shopify, the global e-commerce platform, relies on Spring Data to streamline its data access processes for managing product catalogs, customer information, and order fulfillment. By integrating Spring Data into their backend systems, Shopify has significantly improved the efficiency and scalability of their data operations since adopting it in 2016.
3. Twitter Twitter, the popular social media platform, implemented Spring Data to handle the immense volume of data generated by its millions of users daily. They use Spring Data for tasks such as real-time analytics, trend analysis, and user engagement tracking. Twitter's utilization of Spring Data dates back to 2014, helping them manage their database interactions effectively.
These case studies demonstrate the diverse applications of Spring Data in real-world scenarios, showcasing its value in optimizing data handling and processing for companies across different industries. By leveraging the capabilities of Spring Data, companies like Netflix, Shopify, and Twitter have achieved improved data management and performance enhancements in their respective operations.
Sie können eine aktuelle Liste von Unternehmen, die Spring Data 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 4,110 Unternehmen, die Spring Data verwenden.
Spring Data wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "It Services And It Consulting", "It Services And It Consulting", "Software Development", "Financial Services", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "Telecommunications", "Financial Services", verwendet. Für eine umfassende Liste aller Branchen, die Spring Data nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Spring Data verwenden, umfassen Intellibus, Incoming Domain, BADAK Soluciones de TI, Senior Sistemas, JPMorgan Chase Bank, N.A., EPAM Systems, GFT Technologies SE, Infosys, Vodafone, Barclays und viele mehr. Sie können eine vollständige Liste von 4,110 Unternehmen, die Spring Data nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Spring Data am beliebtesten in Vereinigte Staaten (1,242 companies), Spanien (255 companies), Indien (216 companies), Frankreich (157 companies), Vereinigtes Königreich (153 companies), Deutschland (118 companies), Brasilien (113 companies), Kanada (74 companies), Italien (48 companies), Mexiko (42 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Spring Data 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.