Companies that use Samza
It allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka.
230
companies
List of companies using Samza
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"samza\"
]
}"Technology
is any of
Samza
Employees940Technology, Information and InternetSamzaMedium confidence
Employees760kSoftware DevelopmentSamzaMedium confidence
Employees169kRevenue$17BInternet Marketplace PlatformsSamzaMedium confidence
Employees3.2kRevenue$1.2BFinancial ServicesSamzaMedium confidence
Employees915Revenue$116MBankingSamzaMedium confidence
Employees25kTechnology, Information and InternetSamzaMedium confidence
Employees1.1kRevenue$993MAdvertising ServicesSamzaMedium confidence
Employees180Revenue$7MSoftware DevelopmentSamzaMedium confidence- Employees48IT Services and IT ConsultingSamzaMedium confidence
Employees50IT Services and IT ConsultingSamzaMedium confidence
We have data on 230 companies and users that use Samza. Our Samza users and 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.
Technology Usage Statistics and Market Share
How to target Samza users
- How to customize this list?
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.
- How to be alerted when companies adopt this technology?
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
- How to import this data to my CRM?
You can export this data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
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.
Samza is a distributed stream processing framework that was originally developed by the team at LinkedIn in 2013. It is designed to handle large amounts of data in real-time, allowing for high scalability and fault tolerance. Samza is built to be both durable and lightweight, making it suitable for processing data from various sources efficiently. With its seamless integration with Apache Kafka, Samza has become a popular choice for organizations looking to process data streams.
In the category of Message Queue technologies, Samza plays a crucial role in enabling efficient data processing and messaging between different systems. It facilitates the reliable and real-time transfer of messages between producers and consumers, ensuring that data is processed quickly and accurately. Samza's architecture emphasizes fault tolerance and scalability, making it an ideal solution for companies dealing with massive data volumes and requiring low-latency processing.
Founded in 2013 by the LinkedIn team, Samza was motivated by the need for a robust stream processing framework that could handle the ever-increasing data volumes generated by the company's platform. LinkedIn wanted a solution that could process data in real-time while being reliable and fault-tolerant. This led to the creation of Samza, which has since gained popularity beyond LinkedIn and is now widely used in various industries for stream processing applications.
Currently, Samza holds a significant market share within the Message Queue category, with many organizations adopting it for their real-time data processing needs. As the demand for real-time data processing continues to grow, the market share of Samza is forecasted to increase further in the future. Its ability to handle massive data streams efficiently and reliably positions Samza as a leading contender in the stream processing landscape, poised for continued growth and adoption by businesses seeking robust data processing solutions.