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It is designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. It also provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management.
3,400
companies
We have data on 3,400 companies that use Spring Batch. Our Spring Batch customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
CNAV | France | Government Administration | 2K | |
Sopra Banking Software | France | Software Development | 47K | $600M |
Zscaler | United States | Computer And Network Security | 8.1K | $1.1B |
Agirc-Arrco | France | Financial Services | 1.1K | $76M |
CNAF | China | Insurance | 110 | |
Phaedon | United States | Marketing Services | 189 | |
TECHNODYM | France | Staffing And Recruiting | 4 | |
Reactis | France | Software Development | 150 | |
CGLIA Solutions | India | It Services And It Consulting | 15 | |
Groupe Covéa | France | Insurance Agencies And Brokerages | 17K | $8M |
Securian Financial Group | United States | Insurance | 5K | $6.6B |
United States | It Services And It Consulting | 3 |
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Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
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Spring Batch is used in 56 countries
There are 113 alternatives to Spring Batch
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Spring Batch is a popular technology in the category of Frameworks (Full Stack), known for its robust capabilities in handling batch processing tasks within the Java environment. It provides functionalities to create and execute high-volume batch jobs, making it a go-to choice for developers aiming to automate and optimize batch processing workflows. Spring Batch simplifies the development of batch applications by offering features such as job processing, job scheduling, and job execution management.
Spring Batch was founded in 2007 by the Spring community with the aim of addressing the complexities involved in batch processing within enterprise applications. The motivation behind its creation was to streamline batch processing tasks, improve efficiency, and enhance maintainability for developers working on data-intensive applications. Over the years, Spring Batch has evolved into a mature framework, enjoying widespread adoption in various industries for its reliability and scalability.
In the current market scenario, Spring Batch continues to maintain a significant market share within the Frameworks (Full Stack) category. Its user-friendly interfaces, extensive documentation, and strong community support have contributed to its enduring popularity among developers and organizations worldwide. With the increasing demand for efficient batch processing solutions in modern applications, the forecast suggests that Spring Batch is poised for further growth in the future as more businesses recognize the advantages it offers in optimizing batch processing workflows.
Spring Batch is a powerful framework widely utilized by companies for efficient batch processing of large volumes of data. With its robust features and capabilities, Spring Batch offers numerous benefits that make it a preferred choice among businesses looking to streamline their data processing tasks.
Spring Batch provides optimized performance for batch processing operations by efficiently handling parallel processing and job scaling. Unlike traditional batch processing frameworks, Spring Batch offers enhanced performance capabilities, enabling faster processing of large datasets without compromising reliability.
One of the standout features of Spring Batch is its comprehensive error handling and retry mechanism. This functionality allows companies to build resilient data processing pipelines that can automatically detect errors, retry failed jobs, and ensure data integrity throughout the processing cycle, setting it apart from other frameworks in its category.
Spring Batch offers exceptional scalability, allowing companies to seamlessly scale their batch processing operations as data volumes grow. Additionally, its modular architecture and extensible design enable easy integration of custom components and functionalities, providing companies with the flexibility to adapt the framework to their specific needs.
Spring Batch benefits from a vibrant ecosystem and strong community support, ensuring regular updates, bug fixes, and a wealth of resources for developers and companies leveraging the framework. This active community involvement distinguishes Spring Batch as a reliable and well-supported technology choice in the realm of batch processing frameworks.
Spring Batch is a popular framework used by many companies to handle batch processing in their applications efficiently. Below are case studies of real companies leveraging Spring Batch to improve their operations:
1. Walmart Walmart, the multinational retail corporation, utilizes Spring Batch for its backend data processing tasks. They started using Spring Batch in 2018 to automate the processing of massive amounts of sales and inventory data. By implementing Spring Batch, Walmart was able to significantly reduce the time required for batch processing, leading to more timely insights on sales trends and inventory management.
2. IBM IBM, a leading technology company, incorporates Spring Batch in its software solutions for enterprise clients. IBM integrated Spring Batch into its data management platform in 2017 to streamline the processing of large datasets for its customers. With Spring Batch, IBM's clients experienced faster data processing times and smoother workflow automation, boosting overall operational efficiency.
3. Netflix Netflix, the renowned streaming service provider, has integrated Spring Batch into its content delivery system. Since 2016, Netflix has been using Spring Batch to manage the scheduling and execution of various data processing tasks related to content recommendation algorithms. By leveraging Spring Batch's capabilities, Netflix has enhanced its ability to personalize user recommendations and optimize content delivery mechanisms.
These case studies highlight how established companies like Walmart, IBM, and Netflix have successfully implemented Spring Batch in their technology stack to improve performance, increase efficiency, and enhance their services. The adoption of Spring Batch has enabled these companies to handle large-scale data processing requirements effectively, showcasing the versatility and reliability of this framework in real-world applications.
You can access an updated list of companies using Spring Batch by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 3,400 companies that use Spring Batch.
Spring Batch is used by a diverse range of organizations across various industries, including "Government Administration", "Software Development", "Computer And Network Security", "Financial Services", "Insurance", "Marketing Services", "Staffing And Recruiting", "Software Development", "It Services And It Consulting", "Insurance Agencies And Brokerages". For a comprehensive list of all industries utilizing Spring Batch, please visit TheirStack.com.
Some of the companies that use Spring Batch include CNAV, Sopra Banking Software, Zscaler, Agirc-Arrco, CNAF, Phaedon, TECHNODYM, Reactis, CGLIA Solutions, Groupe Covéa and many more. You can find a complete list of 3,400 companies that use Spring Batch on TheirStack.com.
Based on our data, Spring Batch is most popular in United States (1,129 companies), France (274 companies), Spain (201 companies), India (167 companies), United Kingdom (97 companies), Brazil (75 companies), Canada (51 companies), Singapore (42 companies), Germany (40 companies), Australia (28 companies). However, it is used by companies all over the world.
You can find companies using Spring Batch by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.