Software Alternatives, Accelerators & Startups

Walker Sands VS Azure Databricks

Compare Walker Sands VS Azure Databricks and see what are their differences

Walker Sands logo Walker Sands

Walker Sands is an award-winning B2B tech integrated marketing agency that executes comprehensive marketing strategies to drive results. Learn more about our agency here.

Azure Databricks logo Azure Databricks

Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
  • Walker Sands Landing page
    Landing page //
    2023-10-15
  • Azure Databricks Landing page
    Landing page //
    2023-04-02

Walker Sands videos

No Walker Sands videos yet. You could help us improve this page by suggesting one.

Add video

Azure Databricks videos

Azure Databricks is Easier Than You Think

More videos:

  • Review - Ingest, prepare & transform using Azure Databricks & Data Factory | Azure Friday
  • Review - Azure Databricks - What's new! | DB102

Category Popularity

0-100% (relative to Walker Sands and Azure Databricks)
Marketing Platform
100 100%
0% 0
Technical Computing
0 0%
100% 100
B2B SaaS
100 100%
0% 0
Business & Commerce
89 89%
11% 11

User comments

Share your experience with using Walker Sands and Azure Databricks. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Walker Sands Reviews

We have no reviews of Walker Sands yet.
Be the first one to post

Azure Databricks Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
Azure Databricks is a data analytics tool optimized for Microsoft’s Azure cloud services solution. It provides three development environments for data-intensive apps, namely Databricks SQL, Databricks Machine Learning, and Databricks Data Science & Engineering.The platform supports languages including Python, Java, R, Scala, and SQL, plus data science frameworks and...
Source: theqalead.com

Social recommendations and mentions

Based on our record, Azure Databricks seems to be more popular. It has been mentiond 2 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.

Walker Sands mentions (0)

We have not tracked any mentions of Walker Sands yet. Tracking of Walker Sands recommendations started around Mar 2021.

Azure Databricks mentions (2)

  • Top 30 Microsoft Azure Services
    In the big data space, Azure offers Azure Databricks. This is an Apache Spark big data analytics and machine learning service over a Distributed File System. The distributed cluster of nodes running analytics and AI operations in parallel allow for fast processing of large volumes of data and integration with popular machine learning libraries such as PyTorch unleash endless possibilities for custom ML. - Source: dev.to / almost 3 years ago
  • ZooKeeper-free Kafka is out. First Demo
    https://azure.microsoft.com/en-us/services/databricks. - Source: Hacker News / over 3 years ago

What are some alternatives?

When comparing Walker Sands and Azure Databricks, you can also consider the following products

OpenMoves - OpenMoves is an email and search marketing solution.

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.

KlientBoost - KlientBoost provides pay-per-click marketing and landing page solutions.

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

CIENCE - Managed sales acceleration company, where we help to grow your business.

Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.