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Databricks, a key player in the data analytics and machine learning industry, is utilized by approximately 17,357 companies globally. This includes organizations across the Technology, Finance, Healthcare, Retail, and Media sectors. The platform is widely adopted for tasks such as data processing, advanced analytics, and machine learning, appealing to companies ranging from startups to large enterprises with annual revenues from $10 million to billions of dollars.
If you’re interested in companies using Shopify, consider alternatives like Agile and Salesforce, which offer flexible solutions tailored to different eCommerce needs.
Databricks is a complete data analytics platform that simplifies data processing, engineering, and machine learning workflows. Built on Apache Spark, Databricks offers powerful collaborative features through its data lakehouse architecture, combining the reliability of data warehouses with the scalability of data lakes. This open and unified environment enables data scientists, engineers, and analysts to collaborate on large-scale data projects and advance AI-driven initiatives. Databricks integrates seamlessly with popular cloud providers like AWS, Azure, and Google Cloud, making it highly adaptable for companies across diverse industries.
Databricks serves various industries, empowering companies to leverage big data for insights and innovation. Here are a few sectors that frequently benefit from Databricks:
Some of the prominent organizations utilizing Databricks include:
| Company | Country | Revenue | Company Size |
|---|---|---|---|
Shell  | UK/Netherlands | $261B | 90,000+ |
| Comcast | USA | $121B | 190,000+ |
| HSBC | UK | $56B | 220,000+ |
| Regeneron | USA | $13B | 11,000+ |
| Expedia Group | USA | $12B | 16,000+ |
Databricks is a top player in the data analytics and machine learning market, especially with companies managing large datasets across cloud environments. Competitors such as Snowflake, AWS SageMaker, and Google BigQuery also provide strong data management and analytics capabilities, making them popular alternatives for companies with specific data warehousing, machine learning, and analytics needs.
Databricks supports a wide array of industries by providing a unified platform that simplifies data operations, empowering businesses to gain insights faster:
Databricks is widely adopted across North America, Europe, and Asia-Pacific. Companies in these regions leverage the platform’s comprehensive data analytics and machine learning tools to advance their operations and deliver cutting-edge insights.
Reviewing customer success stories published by Databricks can highlight organizations that effectively use the platform. These narratives often detail specific applications, challenges overcome, and measurable outcomes, providing insight into potential leads.
Attending webinars or consuming educational content created by Databricks or data analytics thought leaders can reveal companies that share their experiences with the platform. These sessions often feature real-world examples and case studies showcasing successful implementations.
Observing partnership announcements between Databricks and other tech firms can indicate which companies are utilizing the platform. These collaborations often highlight organizations integrating Databricks into their data strategies for enhanced performance.
Engaging with online user communities, such as forums or discussion groups dedicated to data engineering and analytics, can help identify companies using Databricks. Users frequently share their experiences, challenges, and insights, which can lead to discovering organizations that rely on the platform.
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In conclusion, Databricks is a vital tool for organizations across several sectors, including Finance, Healthcare, Retail, Media, and Technology, with a significant global presence of over 17,000 companies leveraging its capabilities. Its innovative data lakehouse architecture, built on Apache Spark, enhances collaboration among data professionals, enabling them to process and analyze vast datasets efficiently. Organizations are increasingly looking to harness the potential of big data for competitive advantage, and alternatives like Snowflake and Google BigQuery are also compelling options. Choosing a proper platform will ultimately depend on a company’s specific needs. Still Databricks proven effectiveness in driving data-driven insights and AI initiatives makes it a formidable contender in the analytics landscape.
Tech data providers like TechDataPark update their lists every 45 days, ensuring accurate and relevant data for targeted outreach.
Databricks is a cloud-based platform specializing in data engineering, machine learning, and analytics. It empowers businesses with scalable solutions for big data and AI-driven insights.
A Databricks Users List helps connect with organizations leveraging Databricks, enabling targeted campaigns, improved lead generation, and strategic partnerships.
TechDataPark is a premier B2B data solutions provider headquarters located in Santa Clara. Specializing in providing high-quality contact data of potential prospects, TechDataPark enables businesses to connect with their ideal customers. By leveraging TechDataPark’s extensive databases, companies can drive targeted marketing campaigns, enhance customer engagement, and achieve better lead-generation outcomes.
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Verified lists reduce bounce rates, improve engagement, and ensure precise targeting, increasing the effectiveness of marketing campaigns.
Databricks user lists from providers like TechDataPark cover global marketplaces, helping firms broaden their presence across different regions.
Marketing agencies, cloud service providers, IT consultants, and analytics firms benefit from reaching companies that need data-driven and cloud-based solutions.
TechDataPark offers tailored, verified, and segmented contact lists, ensuring accurate and effective outreach for B2B campaigns.
TechDataPark lists seamlessly integrate with CRMs and email marketing tools, streamlining campaign execution and lead management.
Databricks enhance scalability, data unification, and advanced analytics, making it a preferred choice for finance, healthcare, and technology enterprises.
With 95% data accuracy and customizable segmentation, TechDataPark provides targeted databases, boosting engagement and conversion rates.
Databricks’s ability to combine big data with AI-driven analytics in a unified workspace is a game-changer for data science and engineering teams.
Mark Felix brings a unique blend of tech expertise and marketing know-how to his role at TechDataPark. With a background in data analytics and technology marketing, Mark is skilled at helping businesses leverage targeted tech users lists to expand their reach and drive conversions. His data-driven approach enables him to craft compelling marketing strategies that resonate with tech audiences. Outside of work, Mark enjoys staying on top of cutting-edge technology trends and exploring how data continues to transform the marketing landscape.
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