Companies that use Avro
It is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.
5,193
companies
List of companies using Avro
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\": [
\"avro\"
]
}"Technology
is any of
Avro
Employees200kRevenue$75BFinancial ServicesAvroHigh confidence
Employees244kFinancial ServicesAvroHigh confidence
Employees61kFinancial ServicesAvroHigh confidence
Employees16kIT Services and IT ConsultingAvroHigh confidence
Employees94kRevenue$26BBankingAvroHigh confidence
Employees68kRevenue$4.8BIT Services and IT ConsultingAvroHigh confidence
Employees83Revenue$3.4MIT Services and IT ConsultingAvroHigh confidence
Employees37kRevenue$1.5BIT Services and IT ConsultingAvroHigh confidence
Employees235kRevenue$60BHospitals and Health CareAvroHigh confidence
Employees89kRevenue$9.5BIT Services and IT ConsultingAvroHigh confidence
We have data on 5,193 companies and users that use Avro. Our Avro 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 Avro 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.
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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.
Avro is a data serialization system developed within the Apache Hadoop project. It provides a compact, fast, and efficient binary data serialization format to enable data exchange between applications written in different languages. Avro is known for its schema-based approach, where data schemas are defined in the Avro IDL (Interface Description Language) for data serialization and deserialization. This makes Avro a popular choice for big data processing tasks, as it helps in optimizing data storage and transmission between systems.
Serialization Frameworks, the category to which Avro belongs, focuses on the process of converting complex data structures or objects into a format that can be easily stored or transmitted. This category includes various technologies like Protocol Buffers, Thrift, and of course, Avro. Serialization frameworks play a crucial role in distributed systems where data needs to be efficiently passed between different components or services, ensuring compatibility and performance.
Founded by Doug Cutting in 2009, Avro was created with the goal of providing a compact and efficient data serialization framework for the Apache Hadoop ecosystem. Doug Cutting, a well-known figure in the open-source community for his contributions to projects like Apache Lucene and Apache Hadoop, aimed to address the challenges of handling large volumes of data in a distributed environment. Avro's inception marked a significant milestone in improving data interchange and processing within the Hadoop ecosystem.
Currently, Avro holds a substantial market share within the Serialization Frameworks category, particularly in big data and analytics applications. Given its strong integration with Apache Hadoop and other big data technologies, Avro is expected to continue growing in relevance as organizations increasingly rely on data-driven insights. The forecast indicates that Avro's market share is likely to expand further as the demand for efficient data serialization solutions continues to rise in the industry.