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Azure Databricks VS CData Excel Add-Ins

Compare Azure Databricks VS CData Excel Add-Ins and see what are their differences

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.

CData Excel Add-Ins logo CData Excel Add-Ins

Excel Add-In for mass imports / exports / updates, data cleansing & de-duplication and data analysis.
  • Azure Databricks Landing page
    Landing page //
    2023-04-02
  • CData Excel Add-Ins Landing page
    Landing page //
    2023-07-26

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

CData Excel Add-Ins videos

CData Excel Add-Ins | Connect to Live Data Directly from Microsoft Excel

Category Popularity

0-100% (relative to Azure Databricks and CData Excel Add-Ins)
Technical Computing
68 68%
32% 32
Data Dashboard
57 57%
43% 43
Business & Commerce
100 100%
0% 0
Office & Productivity
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Azure Databricks and CData Excel Add-Ins

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

CData Excel Add-Ins Reviews

We have no reviews of CData Excel Add-Ins yet.
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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.

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 / about 3 years ago

CData Excel Add-Ins mentions (0)

We have not tracked any mentions of CData Excel Add-Ins yet. Tracking of CData Excel Add-Ins recommendations started around Mar 2021.

What are some alternatives?

When comparing Azure Databricks and CData Excel Add-Ins, you can also consider the following products

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.

Devart Excel Add-ins - Devart Excel Add-ins allow you to connect Microsoft Excel to live database and cloud data and work with them as with usual Excel spreadsheets.

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

Kutools for Excel - A handy Microsoft Excel add-ins collection to free you from time-consuming operations.

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.

Invantive Control for Excel - Invantive Control enables you to make decisions with Microsoft Excel and yet remain fully compliant...