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Azure Databricks VS SQream

Compare Azure Databricks VS SQream and see what are their differences

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

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.

SQream logo SQream

SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.
  • Azure Databricks Landing page
    Landing page //
    2023-04-02
  • SQream Landing page
    Landing page //
    2023-09-17

SQream is a data analytics acceleration platform built especially for massive data - from terabytes to petabytes. SQream takes queries down from days to hours and hours to minutes. The SQream platform provides the ability to analyze more data, faster, with multiple dimensions and cuts data preparation significantly by enabling ad-hoc querying on raw data. Leading global organizations in telecommunications, healthcare, ad-tech, retail and more rely on SQream to achieve critical business insights and potentially valuable BI across their massive data stores.

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

SQream videos

+ Add

SQream DB v2020.1 - Product review and demo

More videos:

  • Review - Introducing SQream DB - The GPU-accelerated data warehouse for massive data
  • Review - SQream DB, GPU-accelerated data warehouse

Category Popularity

0-100% (relative to Azure Databricks and SQream)

Azure Databricks

SQream

Technical Computing
100 100%
Technical Computing
0% 0
Big Data
0 0%
Big Data
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Dashboard
72 72%
Data Dashboard
28% 28

User comments

Share your experience with using Azure Databricks and SQream. 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 Azure Databricks and SQream

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

SQream Reviews

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

Social recommendations and mentions

Based on our record, Azure Databricks should be more popular than SQream. 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

SQream mentions (1)

What are some alternatives?

When comparing Azure Databricks and SQream, 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.

Apache ORC - Apache ORC is a columnar storage for Hadoop workloads.

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.

Panoply - Panoply is a smart cloud data warehouse

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

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

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