Question 1

What is the source of this data?

Accepted Answer

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.

Question 2

How often is the data updated?

Accepted Answer

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.

Question 3

What is Apache Spark?

Accepted Answer

Apache Spark is a powerful opensource unified analytics engine designed for big data processing and analytics It provides a lightningfast cluster computing framework for largescale data processing tasks Spark supports a variety of programming languages and offers highlevel APIs in Java Scala Python and R One of the key features that sets Apache Spark apart is its inmemory computing capabilities which enable data processing at lightning speeds by caching data in memory across multiple nodes in a cluster

Apache Spark falls under the category of Big Data Tools specifically within the realm of distributed data processing frameworks It excels in handling complex data processing tasks across large datasets by leveraging inmemory computing and parallel processing Sparks ability to seamlessly integrate with other big data technologies like Hadoop and support various data sources makes it a versatile tool for data engineers and data scientists working on big data analytics projects

Founded in 2009 by researchers at the UC Berkeley AMPLab Apache Spark was initially motivated by the limitations of the MapReduce framework in Hadoop for iterative and interactive processing The creators sought to address the shortcomings of MapReduce by developing a faster and more efficient data processing engine leading to the birth of Apache Spark Since its inception Apache Spark has gained significant traction in the big data industry and has become a preferred choice for organizations dealing with largescale data processing and analytics tasks

Apache Spark currently holds a substantial market share in the Big Data Tools category with a growing trend expected in the future As more businesses recognize the importance of realtime data processing and analytics the demand for robust big data tools like Apache Spark is projected to increase With its ability to handle diverse data processing workloads efficiently Apache Spark is likely to see continued growth and adoption in the big data analytics landscape

Question 4

How to get an updated list of companies that use Apache Spark?

Accepted Answer

You can access an updated list of companies using Apache Spark by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

Question 5

How many customers does Apache Spark have?

Accepted Answer

As of now, we have data on 66,378 companies that use Apache Spark.

Question 6

Who uses Apache Spark?

Accepted Answer

Apache Spark is used by a diverse range of organizations across various industries, including "IT Services and IT Consulting", "Financial Services", "Professional Services", "Computer Hardware Manufacturing", "Software Development", "IT Services and IT Consulting", "Financial Services", "Financial Services", "Software Development", "IT Services and IT Consulting". For a comprehensive list of all industries utilizing Apache Spark, please visit TheirStack.com.

Question 7

What companies use Apache Spark?

Accepted Answer

Some of the companies that use Apache Spark include Lensa, Capital One, EY, Apple, Databricks, Capgemini, Citi, JPMorganChase, Amazon, Visa and many more. You can find a complete list of 66,378 companies that use Apache Spark on TheirStack.com.

Question 8

In which countries Apache Spark is used the most?

Accepted Answer

Based on our data, Apache Spark is most popular in Costa Rica (14 companies), Bolivia, Plurinational State of (4 companies), Czech Republic (20 companies), Ireland (148 companies), Poland (304 companies), Gibraltar (5 companies), Switzerland (348 companies), Tunisia (2 companies), Latvia (5 companies), Kenya (13 companies). However, it is used by companies all over the world.

Question 9

How to find companies that use Apache Spark?

Accepted Answer

You can find companies using Apache Spark 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.

Company	Country	Industry	Employees	Revenue
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Companies that use Apache Spark

How to target Apache Spark users

List of companies using Apache Spark

Apache Spark customers by country

What is the source of this data?

What is the source of this data?

How often is the data updated?

How often is the data updated?

What is Apache Spark?

What is Apache Spark?

How to get an updated list of companies that use Apache Spark?

How to get an updated list of companies that use Apache Spark?

How many customers does Apache Spark have?

How many customers does Apache Spark have?

Who uses Apache Spark?

Who uses Apache Spark?

What companies use Apache Spark?

What companies use Apache Spark?

In which countries Apache Spark is used the most?

In which countries Apache Spark is used the most?

How to find companies that use Apache Spark?

How to find companies that use Apache Spark?

United States

United Kingdom

India

France

Canada

Germany

Spain

Brazil

Netherlands

Australia

Apache Spark alternatives and competitors

Apache Spark Streaming

Apache Flink

Kafka Streams

PM2

Microsoft App-V

KSQL

Apache Storm

Apache Heron

Heron

Redpanda

Faust

Apache Samza

Kapacitor

Azure Video Indexer

riko

Apama

Azure Text Analytics

Humanify

Amazon Kinesis Data Streams (KDS)

Apache Gearpump

Splunk Data Stream Processor (DSP)

Amazon WorkSpaces Streaming Protocol

Apama Streaming Analytics