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Azure Databricks VS LockerDome

Compare Azure Databricks VS LockerDome 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.

LockerDome logo LockerDome

LockerDome embeds interactive widgets across media properties to generate revenue by serving native ads.
  • Azure Databricks Landing page
    Landing page //
    2023-04-02
  • LockerDome Landing page
    Landing page //
    2022-10-23

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

LockerDome videos

+ Add

Lockerdome's Mark Lewis

More videos:

  • Review - Gabe Lozano: LockerDome
  • Review - Our Workplace: LockerDome

Category Popularity

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

Azure Databricks

LockerDome

Technical Computing
100 100%
Technical Computing
0% 0
Ad Networks
0 0%
Ad Networks
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Advertising
0 0%
Advertising
100% 100

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 LockerDome

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

LockerDome Reviews

We have no reviews of LockerDome 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

LockerDome mentions (0)

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

What are some alternatives?

When comparing Azure Databricks and LockerDome, 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.

Nativo - Nativo is an advertising technology platform for brand advertisers and publishers to scale, automate, and measure native ads

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.

MGID - MGID is a native advertising platform to acquire visitors, monetize websites, build​ new audiences, and grow traffic.

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

StackAdapt - Native advertising demand side platform.

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