Databricks Data Intelligence Platform vs ZenRows

by Gralio Feb 07, 2025

Databricks and ZenRows serve distinct needs. Databricks offers a comprehensive data platform for managing and analyzing data, while ZenRows focuses on web scraping. Choose Databricks for end-to-end data solutions and ZenRows for efficient web data extraction.

At Gralio.ai we help to simplify your decision-making process by offering detailed, side-by-side software comparisons like this one, to help you confidently choose the tool that aligns with your business goals.

This comparison was created by analysing 410 reviews and 60 websites, saving 2 hours, 46 minutes of reading.

About

Databricks Data Intelligence Platform is a cloud-based platform designed to help mid-size to large businesses manage and analyze data. It offers a range of tools for data warehousing, data engineering, data science, and machine learning, all in one place. Databricks aims to simplify data processes, reduce costs, and enable companies to build and deploy AI solutions. They are well-known for their work with open-source technologies, making them a popular choice for businesses invested in those ecosystems.
ZenRows is a tool that helps you extract data from websites, even those with complex anti-scraping measures. It uses rotating proxies, headless browsers, and CAPTCHA solving to bypass these obstacles, allowing you to collect the data you need through a simple API. This makes it easier to gather information from the web for use in your business.

Summary

Main difference
Databricks Data Intelligence Platform is a comprehensive data platform ideal for businesses needing robust data warehousing, engineering, science, and machine learning capabilities, especially within open-source ecosystems. ZenRows excels at web scraping, particularly for sites with anti-scraping measures, making it a better choice for businesses needing to extract data from complex websites.

Relative strengths of Databricks Data Intelligence Platform (compared to ZenRows)

  • Provides a unified platform for data warehousing, engineering, science, and machine learning.

  • Strong integration with open-source technologies.

  • Offers robust data governance features through tools like Unity Catalog.

Relative weaknesses of Databricks Data Intelligence Platform (compared to ZenRows)

  • Can be complex to set up and manage.

  • Pricing can be high for smaller businesses.

  • Limited web scraping capabilities compared to specialized tools.

Who should use Databricks Data Intelligence Platform VS. ZenRows

Databricks is a unified data and AI platform ideal for medium to large businesses, particularly those in the software, IT, and telecommunications sectors. Users praise Databricks SQL and Unity Catalog but note some issues with cluster startup times and documentation. It simplifies data processes, reduces costs, and enables building and deploying AI solutions, especially for companies invested in open-source technologies.

ZenRows helps businesses extract data from websites, especially those with anti-scraping measures. Its API, with rotating proxies and CAPTCHA solving, simplifies web data collection. Users praise its ease of use, excellent customer support, and effectiveness, while some note the cost for high-volume requests. ZenRows is best for medium to enterprise-level businesses in data-heavy industries like finance or software.

  • Best for medium to large businesses seeking unified data and AI solutions.

  • Ideal for the software, IT, and telecommunications industries.

  • Best for medium to large businesses.

  • Ideal for Finance, Banking, Insurance, and Software companies.

Databricks Data Intelligence Platform and ZenRows features

Supported
Partially supported
Not supported
Type in the name of the feature or in your own words tell us what you need
  • Lakehouse architecture
    Supported

    Databricks Data Intelligence Platform is built on a lakehouse architecture.

    Unknown

    ZenRows does not explicitly mention support for a Lakehouse architecture. More information is needed to determine compatibility.

  • Simplified data and AI acceleration
    Supported

    Databricks simplifies and accelerates data and AI initiatives, from ETL to warehousing and generative AI.

    Not supported

    ZenRows focuses on web scraping and data extraction, not simplified data and AI acceleration for ETL, data warehousing, or generative AI.

  • Data intelligence engine
    Supported

    Databricks Data Intelligence Platform leverages DatabricksIQ to understand data uniqueness, enabling tailored processing and analysis.

    Not supported

    ZenRows does not seem to have a data intelligence engine. It is mainly a web scraping API.

  • Data Warehouse Integration
    Supported

    Databricks Data Intelligence Platform is highly capable of integrating with other warehouse databases.

    Partially supported

    ZenRows does not directly integrate with data warehouses, but it can be indirectly integrated through platforms like Pipedream and n8n.

  • Data Source Integration
    Supported

    Databricks Data Intelligence Platform offers extensive options for integrating with external data sources, including built-in connectors, driver support, and integrations with BI and ETL tools.

    Partially supported

    ZenRows can be integrated with platforms like n8n and Clay for workflow automation, allowing data extraction and integration into other systems.

  • Data Governance Tool Integration
    Supported

    Databricks Data Intelligence Platform supports integration with data governance tools, such as Immuta.

    Not supported

    ZenRows does not directly integrate with data governance tools, but it can be integrated into workflows that might indirectly support data governance.

Qualities

  • Value and Pricing Transparency
    +0.14
    Neutral sentiment
    +0.14
    Neutral sentiment
  • Customer Service
    +1
    Strongly positive sentiment
    +0.9
    Strongly positive sentiment
  • Ease of Use
    +0.79
    Strongly positive sentiment
    +0.88
    Strongly positive sentiment
  • Reliability and Performance
    +0.8
    Strongly positive sentiment
    +0.82
    Strongly positive sentiment
  • Ease of Implementation
    +0.26
    Neutral sentiment
    +0.87
    Strongly positive sentiment
  • Scalability
    +0.93
    Strongly positive sentiment
    +1
    Strongly positive sentiment
Databricks Data Intelligence Platform and ZenRows Pricing
No data

User sentiment

Neutral
+0.14

See full Pricing page

No data

User sentiment

Neutral
+0.14
We couldn't find a pricing page for ZenRows.

Databricks Data Intelligence Platform and ZenRows review insights

404 reviews analysed from and

Users love

  • The Databricks SQL warehouse serverless feature is excellent.
  • Unity Catalog improves data governance and accessibility.
  • Lakehouse flow monitoring provides helpful insights into data processes.
  • Pandas Spark API allows for easy distributed computing with Python.
  • Excellent customer support, responsive and helpful.
  • Easy-to-use API and comprehensive documentation.
  • Effective at bypassing anti-bot protections, including Cloudflare.
  • Reliable and fast data extraction with a high success rate.
  • Flexible API with options for custom JS scripts, waiting for elements, and more.

Users dislike

  • Cluster startup times are slow.
  • Documentation could be improved with more examples.
  • AI assistant needs improvement, especially for complex SQL queries and errors.
  • Occasional unplanned downtime can be disruptive.
  • Pricing can be expensive, especially for high-volume requests or advanced features like JS rendering.
  • Occasional temporary issues accessing specific websites due to evolving anti-bot measures.
  • Limited control over proxy locations and types.
  • Some users desire more advanced analytics and user management features.

Databricks Data Intelligence Platform and ZenRows Ratings

  • G2
    4.5/5
    (319)
  • Glassdoor
    4.3/5
    (1199)
  • G2
    5.0/5
    (18)
  • Capterra
    4.8/5
    (67)
  • TrustPilot
    4.2/5
    (6)

Company health

Employee growth

23% increase in the last year
117% increase in the last year

Web traffic

7% decrease in the last quarter
30% increase in the last quarter

Financing

September 2024 - $14B
March 2022 - $1M

How easily can Databricks integrate with my existing data governance tools?

Databricks integrates with data governance tools like Immuta, allowing you to leverage existing governance frameworks. While the specific level of integration depth isn't detailed, the explicit mention of Immuta suggests a capability to connect with and utilize external governance functionalities within the Databricks environment. This likely facilitates enforcement of data policies, access controls, and other governance rules on data residing within the Databricks platform.

Which product offers better scalability for high-volume web scraping, ZenRows or Databricks?

ZenRows offers better scalability for high-volume web scraping. While Databricks is a powerful data platform, it's designed for broader data analysis and processing, not specifically web scraping. ZenRows has a perfect scalability score (1.0) compared to Databricks (0.93), and its features like rotating proxies and CAPTCHA solving are specifically designed to handle the challenges of large-scale web scraping. This makes ZenRows better suited for projects requiring extensive data extraction from the web.

What are the advantages of Databricks Data Intelligence Platform?

Databricks Data Intelligence Platform offers a unified environment for data warehousing, data engineering, data science, and machine learning, simplifying data processes and enabling AI solution development. Its lakehouse architecture and support for open-source technologies make it attractive to businesses invested in those ecosystems. Databricks also provides robust data governance features through integrations with tools like Immuta, and facilitates diverse data source integration. Furthermore, Databricks simplifies and accelerates various data and AI initiatives, including ETL, warehousing, and generative AI.

What are the disadvantages of Databricks Data Intelligence Platform?

Databricks suffers from slow cluster startup times, which can hinder productivity. Users also report that the documentation could be more comprehensive with additional examples. Furthermore, the AI assistant needs improvement, particularly when dealing with complex SQL queries and error handling. Finally, occasional unplanned downtime can disrupt workflows.

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Page co-authored by
MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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