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GraphXR VS Azure Databricks

Compare GraphXR VS Azure Databricks and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

GraphXR logo GraphXR

Delve Deeper. Kineviz is proud to introduce GraphXR. Explore data with unprecedented speed, power, and maneuverability. DM us to talk about arranging a Demo.

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.
  • GraphXR Landing page
    Landing page //
    2023-08-30
  • Azure Databricks Landing page
    Landing page //
    2023-04-02

GraphXR videos

+ Add

GraphXR & ArangoDB Integration

More videos:

  • Review - Neo4j & GraphXR Epidemic Simulator

Azure Databricks videos

+ Add

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 GraphXR and Azure Databricks)

GraphXR

Azure Databricks

Diagrams
100 100%
Diagrams
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Flowcharts
100 100%
Flowcharts
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

Share your experience with using GraphXR and Azure 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 GraphXR and Azure Databricks

GraphXR Reviews

We have no reviews of GraphXR 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.

GraphXR mentions (0)

We have not tracked any mentions of GraphXR yet. Tracking of GraphXR recommendations started around May 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 / about 3 years ago

What are some alternatives?

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

Cytoscape - Cytoscape Official Web Site

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.

Gephi - Gephi is an open-source software for visualizing and analyzing large networks graphs.

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.

ikolinks - Do everything with one platform. The #1 no code bio pages tool using AI.

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

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