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Prefect.io VS Databricks

Compare Prefect.io VS Databricks and see what are their differences

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Prefect.io logo Prefect.io

Prefect offers modern workflow orchestration tools for building, observing & reacting to data pipelines efficiently.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
Not present
  • Databricks Landing page
    Landing page //
    2023-09-14

Prefect.io

Website
prefect.io
Pricing URL
Official Prefect.io Pricing
$ Details
Release Date
2018 January
Startup details
Country
United States
State
District of Columbia
City
Washington D.C.
Founder(s)
Jeremiah Lowin
Employees
50 - 99
Edit details

Databricks

Website
databricks.com
Pricing URL
Official Databricks Pricing
$ Details
Release Date
-
Edit details

Prefect.io videos

No Prefect.io videos yet. You could help us improve this page by suggesting one.

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Databricks videos

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Introduction to Databricks

More videos:

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

Category Popularity

0-100% (relative to Prefect.io and Databricks)

Prefect.io

Databricks

Workflow Automation
100 100%
Workflow Automation
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Data Integration
100 100%
Data Integration
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using Prefect.io and Databricks. 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 Prefect.io and Databricks

Prefect.io Reviews

Top 8 Apache Airflow Alternatives in 2024
Prefect, similarly to Airflow, is designed to help user orchestrate their workflows using Python. This service is web-based and could be easily set up with containerization tools, such as Docker, and deployed on the Kubernetes clusters. As a result, Prefect offers a high grade of scalability to its users, which might be of particular value to rapidly growing companies.
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
Prefect blends the ease of the Cloud with the security of on-premises to satisfy the demands of businesses that need to install, monitor, and manage processes fast. It has helped businesses of all sizes realize the immediate financial benefits of being able to swiftly deploy, scale, and manage their processes. Unlike Apache Airflow’s heavily limited and verbose tasks,...
Source: hevodata.com

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

Social recommendations and mentions

Based on our record, Databricks seems to be more popular. It has been mentiond 17 times since March 2021. 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.

Prefect.io mentions (0)

We have not tracked any mentions of Prefect.io yet. Tracking of Prefect.io recommendations started around Mar 2024.

Databricks mentions (17)

  • 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 1 year 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 / almost 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 / about 2 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 2 years ago
  • data science workspace/notebook solution thoughts?
    I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
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What are some alternatives?

When comparing Prefect.io and Databricks, you can also consider the following products

Kestra.io - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.

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

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

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.

Dagster - The cloud-native open source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.

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.

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