Software Alternatives, Accelerators & Startups

Microsoft Azure Functions VS Databricks

Compare Microsoft Azure Functions VS Databricks and see what are their differences

Microsoft Azure Functions logo Microsoft Azure Functions

Serverless, also known as FaaS (Function-as-a-Service), is a new approach to application development. FaaS is a form of serverless computing with an infrastructure managed by the provider to upload functions and use them on a pay-per-request basis.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Microsoft Azure Functions Landing page
    Landing page //
    2023-02-09
  • Databricks Landing page
    Landing page //
    2023-09-14

Microsoft Azure Functions videos

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Databricks videos

Introduction to Databricks

More videos:

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

Category Popularity

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Cloud Computing
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Data Dashboard
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100% 100
Cloud Hosting
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Database Tools
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Reviews

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

Microsoft Azure Functions Reviews

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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...
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.

Social recommendations and mentions

Microsoft Azure Functions might be a bit more popular than Databricks. We know about 20 links to it since March 2021 and only 17 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.

Microsoft Azure Functions mentions (20)

  • A Brief History Of Serverless
    The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / about 1 month ago
  • Implementing serverless architecture in React Native apps
    Serverless technology helps React Native developers create more robust, adaptable, and efficient mobile applications that meet the demands of today's dynamic digital landscape. By seamlessly integrating cloud functions from providers like AWS Lambda or Azure Functions, developers can tap into a world of possibilities to enrich their mobile apps. - Source: dev.to / 7 months ago
  • Decoupler and future implications for legacy-proof UI code
    Azure Functions: Here’s the official Azure Functions product page, where you can learn about the features, benefits, and pricing of Microsoft’s serverless computing service. - Source: dev.to / 11 months ago
  • JDK 20 and JDK 21: What We Know So Far
    UNIX is irrelevant on the cloud, unless one is stuck deploying legacy workloads on VMs, this is what we use in modern applications not stuck in the past. https://aws.amazon.com/eks/ https://azure.microsoft.com/en-us/products/kubernetes-service https://cloud.google.com/kubernetes-engine/ https://cloud.google.com/appengine https://azure.microsoft.com/en-us/products/app-service https://aws.amazon.com/lambda/... - Source: Hacker News / over 1 year ago
  • .NET 7 for Azure Functions Isolated Worker Process Is Now Generally Available
    Microsoft recently announced the general availability of the .NET 7 for Azure Functions isolated worker process. Azure Functions will support .NET 7 serverless apps hosted on all Windows and Linux SKUs, including Consumption plan, Elastic Premium plan, and App Service plans.  More details: https://www.infoq.com/news/2022/11/azure-functions-dotnet-7/. Source: over 1 year ago
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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 Microsoft Azure Functions and Databricks, you can also consider the following products

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

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

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

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.

AWS Elastic Beanstalk - Quickly deploy and manage applications in the AWS cloud.

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.