Apache Hive Customer List

Do you sell to companies who use Apache Hive? Do you have a product that works with Apache Hive? Do you offer Apache Hive consulting and implementation services? If you do, then you’ll love our actively-managed database of Apache Hive users.

10,639 Companies
  • Company Name
  • Website
  • Phone Number
  • Mailing Address
  • Industry
  • Employee Range
Last Updated :
BY MARKETING LEADERS

"After piloting various data vendors, it was easy to see that ReadyContacts is a cut above."

Anna Jensen
Anna Jensen Director of Marketing, DigitalShadows

TRUSTED BY LEADING COMPANIES

salesforce
gartner
ca technologies
equifax
IBM
zuora

Sample Records of the Companies that use Apache Hive :

Company Name Industry Country Company Size
InMobi Advertising technology India 1K-2K
Squarespace Website building and hosting USA 1K-2K
Skyscanner Travel metasearch UK 1K-2K
Financial Fusion Financial technology Singapore 1K-2K
Flipkart E-commerce India 10K-20K
AutoGrid Energy technology Canada 1K-2K
Thumbtack Local services marketplace USA 1K-2K
Treatwell Beauty booking app UK 1K-2K
Happiest Minds IT services India 1K-2K
Cinch Used car sales UK 1K-2K
Ola Cabs Ridesharing India 10K-20K
InvisionApp Design collaboration USA 1K-2K
Zoopla Real estate UK 1K-2K

Get a targeted slice of Apache Hive customers for your campaigns

How do we build this data

At Ready, we use state-of-the-art software and context-driven human research to identify and track companies that use Apache Hive across global markets. We use a multi-step process to validate and weed out false positives, and we refresh our data every 90 days.

How to customize this data for your needs:

You can requested a customized slice of our full Apache Hive customers database by sharing filters for geography, industry, size and other specific needs you may have. We also identify specific decision makers based on titles & roles.

Apache Hive Customers Coverage

If you're wondering, "How many customers does Apache Hive have?" we've got you covered. We track Apache Hive customer insights globally and across verticals. Here’s a quick snapshot of the coverage we have for a list of companies that use Apache Hive and where they belong.

Verified Stamp Request a customized sample for this criterion

Apache Hive customers Worldwide

Apache Hive customers by US States

Apache Hive customers by Metro Areas

Apache Hive customers by Industry

Here’s why our data is better

We put freshness & accuracy ahead of everything here at ReadyContacts and it shows in our data that is software-powered & human-curated.

  • Freshness Our data is always freshly validated prior to delivery.
  • Accuracy Our multi-step software & human review process ensures the highest accuracy.
  • Targeting We are able to find highly specific target audiences for your needs.
  • Comprehensive We find every prospect out there for your campaign specification.
  • Intelligence Our datasets come backed with detailed & actionable intelligence.
  • Guarantee We promise 90% accuracy across all datasets & stand by it.

How to get a list of Apache Hive customers from Ready

1

Share your spec &
request a sample

Submit your specifications for a Apache Hive customer list based on your sales & marketing campaign needs.
2

Get a personalized
sample & counts

Ready creates a freshly validated sample dataset of Apache Hive customers with contacts & shares the overall counts for your specification.
3

Finalize specs &
purchase dataset

Once you review the sample, you can finalize any tweaks to the dataset of companies using Apache Hive with your own specifications and purchase the full set of records or a part of them.

Apache Hive Customers List: FAQs

What is Apache Hive?

Apache Hive is an open-source data warehouse software built on top of Apache Hadoop for providing data query and analysis. It allows querying and managing large datasets stored in Hadoop's Distributed File System (HDFS) and compatible storage systems like Amazon S3 using a SQL-like language called HiveQL. Hive abstracts the complexities of MapReduce and provides a high-level querying interface that makes it easier for developers and analysts to process and analyze large datasets.

Who uses Apache Hive?

Apache Hive is used by a diverse set of organizations and individuals, including:

  1. Data analysts and data scientists who need to extract, transform, and analyze large datasets
  2. Big data engineers and architects who build and maintain data processing pipelines and data lakes
  3. IT professionals and database administrators responsible for managing and querying large-scale data environments
  4. Developers who build applications that require interactive SQL-like access to Hadoop-based data
  5. Researchers and academics working with large, unstructured datasets
The flexibility and scalability of Apache Hive make it a popular choice for organizations of all sizes across various industries, including technology, finance, healthcare, retail, and more.

Which companies use Apache Hive?

Apache Hive is widely used by a variety of companies and organizations across different industries. Some prominent examples of companies that use Apache Hive include:

  1. Tech giants like Facebook, Netflix, Amazon, and Google
  2. Financial institutions like JP Morgan Chase, Bank of America, and Goldman Sachs
  3. Retail and e-commerce companies like Walmart, Target, and Wayfair
  4. Healthcare organizations like Kaiser Permanente and Anthem
  5. Telecommunications companies like AT&T and Verizon
  6. Media and entertainment companies like The New York Times and ESPN
  7. Transportation and logistics firms like FedEx and UPS
The versatility and scalability of Apache Hive make it a go-to choice for organizations with large, complex data environments that need to leverage the power of Hadoop and perform interactive SQL-like queries.

What industries is Apache Hive most popular in?

Apache Hive has widespread adoption across a variety of industries, but it is particularly popular in the following sectors:

  1. Technology and IT: Hive is heavily used by tech companies, cloud providers, and data-driven organizations to process and analyze large datasets for various applications, such as web analytics, customer behavior analysis, and AI/ML model training.
  2. Finance and Banking: Financial institutions leverage Hive to handle massive amounts of transaction data, risk analysis, fraud detection, and regulatory reporting.
  3. Retail and E-commerce: Retailers and e-commerce companies use Hive for customer segmentation, inventory optimization, and targeted marketing campaigns by analyzing shopping behaviors and trends.
  4. Healthcare and Life Sciences: Hive is employed in the healthcare industry to manage and analyze electronic medical records, genomic data, and clinical trial information.
  5. Media and Entertainment: Media companies and content providers use Hive to process and analyze viewership data, user engagement metrics, and content recommendations.
  6. Logistics and Transportation: Logistics firms and transportation companies utilize Hive to optimize supply chain operations, fleet management, and route planning by analyzing large volumes of sensor data and operational logs.

What are some popular alternatives to Apache Hive?

While Apache Hive is a widely-used data warehouse solution, there are several other alternatives that organizations may consider, depending on their specific requirements and the characteristics of their data environments. Some popular alternatives to Apache Hive include:

  1. Google BigQuery: A fully-managed, serverless data warehouse service offered by Google Cloud Platform, which provides a SQL-like querying interface and scalable storage for large datasets.
  2. Amazon Athena: An interactive query service provided by Amazon Web Services that allows analyzing data stored in Amazon S3 using standard SQL.
  3. Presto: A distributed SQL query engine designed to handle large-scale data processing, often used as an alternative to Hive for interactive analytics.
  4. Spark SQL: A module within the Apache Spark ecosystem that provides a SQL-like interface for data analysis and processing, with the ability to work with a variety of data sources.
  5. Impala: An open-source, distributed SQL engine designed to provide low-latency queries on data stored in Apache Hadoop and cloud-based object stores.
  6. Azure Synapse Analytics: A cloud-based data warehouse and analytics service offered by Microsoft, which integrates with various data sources and provides a SQL-based querying interface.

What is to be expected from Ready's Apache Hive client list?

By obtaining Ready's Apache Hive client list, you can expect to gain valuable insights and information about the companies and organizations that are actively using Apache Hive in their data environments. This list can provide you with the following benefits:

  1. Identify potential customers: The client list can help you identify companies that have already adopted Apache Hive, which can be valuable targets for your products or services related to Hive.
  2. Understand industry trends: Analyzing the industries and sectors represented in the client list can give you a better understanding of the industries where Apache Hive is most widely used, allowing you to tailor your marketing and sales efforts accordingly.
  3. Benchmark against competitors: Knowing the companies that use Apache Hive can help you understand the competitive landscape and identify opportunities to differentiate your offerings or position your solutions more effectively.
  4. Gather market intelligence: The client list can provide insights into the specific use cases, pain points, and requirements that organizations have when working with Apache Hive, which can inform your product development and service offerings.
  5. Expand your network: The client list can serve as a starting point for outreach and networking, potentially leading to new business relationships, partnerships, or collaborations within the Apache Hive ecosystem.


The numbers above are continuously changed. For the latest numbers, feel free to contact our team.

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Anna Jensen testimonial

Anna Jensen

Director Marketing of Digital Shadows

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We had a need for a very specialised dataset to launch a campaign. I approached Ready Contacts to see if they could provide this dataset having tried other providers without any success. ReadyContacts rose to the challenge and provided us with a reliable dataset that met our criteria and allowed us to take on a campaign that we would otherwise have had to abandon.
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ReadyContacts has been instrumental in our demand generation strategy at Smartling. ReadyContacts continues to clearly understand our ideal customer profiles and buyer personas to curate accounts & contacts. ReadyContacts ability to deliver high quality leads while being flexible with our timelines has been instrumental in growing our pipeline. They have been a true partner!
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Global Marketing Director at pega

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