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Databricks VS Apify

Compare Databricks VS Apify and see what are their differences

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Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Apify logo Apify

Apify is a web scraping and automation platform that can turn any website into an API.
  • Databricks Landing page
    Landing page //
    2023-09-14
  • Apify Landing page
    Landing page //
    2023-09-30

Apify is a JavaScript & Node.js based data extraction tool for websites that crawls lists of URLs and automates workflows on the web. With Apify you can manage and automatically scale a pool of headless Chrome / Puppeteer instances, maintain queues of URLs to crawl, store crawling results locally or in the cloud, rotate proxies and much more.

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

Apify features and specs

  • Ease of Use
    Apify provides a user-friendly interface that makes it easy for users of all technical levels to create and manage web scraping tasks.
  • Scalability
    Apify is built to handle tasks of various sizes, from small-scale projects to enterprise-level operations, making it a scalable solution.
  • Integration and API Support
    It offers extensive API support, allowing for seamless integration with other tools and systems to enhance automated workflows.
  • Customizability
    Users can customize their scraping bots (actors) with different settings and scripts to fit specific needs and requirements.
  • Cloud-based
    Being a cloud-based platform, Apify allows users to run their scraping tasks without needing local resources, which is convenient and efficient.
  • Comprehensive Documentation
    Apify provides thorough documentation and tutorials, which help users get started quickly and solve issues efficiently.
  • Community and Support
    Apify has an active community and solid customer support to assist users with their needs and enhance their overall experience.

Possible disadvantages of Apify

  • Learning Curve
    While the interface is user-friendly, there may still be a learning curve for those new to web scraping and automation.
  • Cost
    Apify can be expensive compared to other web scraping tools, particularly for extensive use cases that require high volumes of data.
  • Dependency on External Factors
    Web scraping often depends on the stability of the target websites. Changes in website structures can break scripts, requiring ongoing maintenance.
  • Performance Limitations
    The performance of cloud-based scraping tasks can be affected by network latency and other external factors beyond user control.
  • Potential Legal Issues
    Web scraping can raise legal concerns, particularly when scraping data from websites that restrict such activities in their terms of service.
  • Resource Intensity
    Complex scraping tasks can be resource-intensive, potentially requiring higher-tier subscriptions and more computing resources, driving up costs.

Databricks videos

+ Add

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Apify videos

+ Add

Apify product news - 2019/01/30

Category Popularity

0-100% (relative to Databricks and Apify)

Databricks

Apify

Data Dashboard
100 100%
Data Dashboard
0% 0
Web Scraping
0 0%
Web Scraping
100% 100
Database Tools
100 100%
Database Tools
0% 0
Data Extraction
0 0%
Data Extraction
100% 100

User comments

Share your experience with using Databricks and Apify. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Databricks and Apify

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Source: www.shipyardapp.com
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.
Source: blog.bismart.com

Apify Reviews

Top 15 Best TinyTask Alternatives in 2022
This is another tinytask alternative. For you to link various web services and APIs, Apify has provided many web integration options. You can add data processing and customised computation processes in addition to letting the data flow between them. With the data that is freely accessible on the web, you may provide crucial insights, and easy lead creation allows you to...
Source: www.dashtech.org

Social recommendations and mentions

Apify might be a bit more popular than Databricks. We know about 26 links to it since March 2021 and only 18 links to Databricks. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / 7 months ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 2 years ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / over 2 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / almost 3 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 3 years ago
View more

Apify mentions (26)

  • How to scrape TikTok using Python
    For deployment, we'll use the Apify platform. It's a simple and effective environment for cloud deployment, allowing efficient interaction with your crawler. Call it via API, schedule tasks, integrate with various services, and much more. - Source: dev.to / 4 days ago
  • How to scrape Bluesky with Python
    We already have a fully functional implementation for local execution. Let us explore how to adapt it for running on the Apify Platform and transform in Apify Actor. - Source: dev.to / about 1 month ago
  • Web scraping with GPT-4o: powerful but expensive
    We've had the best success by first converting the HTML to a simpler format (i.e. markdown) before passing it to the LLM. There are a few ways to do this that we've tried, namely Extractus[0] and dom-to-semantic-markdown[1]. Internally we use Apify[2] and Firecrawl[3] for Magic Loops[4] that run in the cloud, both of which have options for simplifying pages built-in, but for our Chrome Extension we use... - Source: Hacker News / 8 months ago
  • Current problems and mistakes of web scraping in Python and tricks to solve them!
    Developed by Apify, it is a Python adaptation of their famous JS framework crawlee, first released on Jul 9, 2019. - Source: dev.to / 9 months ago
  • Show HN: Crawlee for Python – a web scraping and browser automation library
    Hey all, This is Jan, the founder of [Apify](https://apify.com/)—a full-stack web scraping platform. After the success of [Crawlee for JavaScript](https://github.com/apify/crawlee/) today! The main features are: - A unified programming interface for both HTTP (HTTPX with BeautifulSoup) & headless browser crawling (Playwright). - Source: Hacker News / 10 months ago
View more

What are some alternatives?

When comparing Databricks and Apify, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Scrapy - Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.

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