Companies that use rdkafka
This gem is a modern Kafka client library for Ruby based on librdkafka. It wraps the production-ready C client using the ffi gem and targets Kafka 1.0+ and Ruby 2.3+.
6
companies
List of companies using rdkafka
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\": [
\"rdkafka-ruby\"
]
}"Technology
is any of
rdkafka
Employees99Gambling Facilities and CasinosrdkafkaLow confidence
Employees5.2kRevenue$786MIT Services and IT ConsultingrdkafkaLow confidence
Employees398Software DevelopmentrdkafkaLow confidence
We have data on 6 companies and users that use rdkafka. Our rdkafka 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 rdkafka 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.
Rdkafka is a powerful and efficient library for Apache Kafka written in the C language. It provides high-performance Kafka producer and consumer capabilities, allowing developers to interact with Kafka clusters easily and efficiently. Rdkafka is designed to be fast and reliable, making it a popular choice for applications requiring real-time data streaming and processing.
Rdkafka falls under the category of Kafka Tools, which encompasses various tools and libraries specifically tailored for working with Apache Kafka. Kafka Tools are essential for managing Kafka clusters, developing Kafka applications, and monitoring Kafka performance. Rdkafka, being a high-performance Kafka client library, plays a crucial role in this category by enabling seamless integration with Kafka clusters and ensuring optimal data handling.
Initially founded in 2013 by Magnus Edenhill, rdkafka was created to address the need for a robust and efficient Kafka client library in the C language. Edenhill's motivation stemmed from the increasing popularity of Kafka as a distributed streaming platform and the lack of a high-performance C library that could effectively interact with Kafka clusters. Since its inception, rdkafka has gained a strong following in the Kafka community due to its reliability and speed.
In terms of market share, rdkafka has established itself as a popular choice among developers seeking high-performance Kafka client capabilities. With the continuous growth of Kafka adoption in various industries, the market share of rdkafka is expected to rise in the future as more organizations leverage Kafka for real-time data processing and analytics. The robustness and efficiency of rdkafka position it well for sustained growth within the Kafka Tools category.