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BlueData VS Azure Databricks

Compare BlueData VS Azure Databricks and see what are their differences

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  2. » Videos
  3. » Reviews
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BlueData logo BlueData

BlueData's software platform makes it easier, faster and more cost-effective for organizations to deploy Big Data infrastructure on-premises.

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.
  • BlueData Landing page
    Landing page //
    2023-06-13
  • Azure Databricks Landing page
    Landing page //
    2023-04-02

BlueData videos

+ Add

HPE BlueData Software Demo | AI, Machine Learning and Data Science

More videos:

  • Review - Kumar Sreekanti, BlueData - #BigDataSV 2016 - #theCUBE

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 BlueData and Azure Databricks)

BlueData

Azure Databricks

Big Data
100 100%
Big Data
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Data Dashboard
34 34%
Data Dashboard
66% 66
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

Share your experience with using BlueData 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 BlueData and Azure Databricks

BlueData Reviews

We have no reviews of BlueData yet.
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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.

BlueData mentions (0)

We have not tracked any mentions of BlueData yet. Tracking of BlueData 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 / about 3 years ago

What are some alternatives?

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

BitRefiney - Bit Refinery is an enterprise VMware and Big Data hosting provider.

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.

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

MicroStrategy - MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.

Fujitsu Symfoware Analytics Server - Fujitsu Symfoware Analytics Server is a high-performance database software that is designed for use with data warehouses.

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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