Compare Databricks vs Hotjar vs Mixpanel

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84%
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52%
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Crozscore:

88%
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86%
56%
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Crozscore:

89%
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Databricks screenshot view 5 more Hotjar screenshot view 2 more Mixpanel screenshot view 3 more

Software Description:

Databricks is the solution that combines data science, engineering, and business to use the power of AI within a genuinely unified approach to data analytics. The solution is powered by Apache Spark, which is a completely open-source platform, hosted at the vendor-independent Apache Foundation.

Main users of Databricks are mostly used by data scientists and engineers in medium-sized and large enterprises, belonging to energy and utilities, financial services, advertising, and marketing industries. With this service, users can unify their analytics operations, streamline workflows, increase the productivity of data teams, reduce risk, optimize I/O performance, and many more. It also offers a collaborative workspace, so data teams are able to create data pipelines, test machine learning models, and provide insights to the business via the same platform.

When it comes to security, there are following solutions: role-based access management, identity management, data encryption, compliance standards support, and severe auditing. Databricks is used with the support of Microsoft Azure and Apache Spark.

Software Description:

Hotjar is the first cloud-based tool to give you unlimited insights from your web and mobile sites. With one simple affordable plan you can generate insights on an unlimited number of websites – and make these available to an unlimited number of users.

Using Hotjar, you can now reveal true website user behaviour and experiences with one central tool - giving you the big picture of how you can improve your site's UX and conversion rates. All your data, reports and data are securely stored in the cloud and are accessible at lightning speed.

Software Description:

Mixpanel is a custom event based analytics programme for mobile and web. The app allows users to go much further than measuring their site’s page views by reporting on visitor actions, not views.

Mixpanel is able to ask complex questions by breaking apart events (interactions between people and product) by the properties wanting to be explored. Questions such as, ‘which Google Adwords campaign gives us the most paying users?’ can be explored.

Mixpanel can help businesses to increase conversions by locating where customers are lost at any stage in a process, and run experiments to fix issues that are discovered.

Features:

  • 2-Factor Authentication
  • Data Import
  • Data Export
  • External Integrations
  • API
  • Notifications
  • Analytics
  • Dashboard
  • Data Visualization

Features:

Features:

  • Data Visualization
  • Scheduling

Summary:

  • Databricks runtime

  • Interactive exploration

  • Collaboration

  • Visualization

  • Notebook workflows

  • Notification and logs

  • Role based access control

  • Integrated identity management

  • Auditing

  • Compliance

Summary:

  • Heatmaps

  • Feedback and Exit Polls

  • Conversion Funnel Analysis

  • Form Abandonment Analysis

  • Visitor Session Platback

  • Proactive Chat

Summary:

  • Advanced analytics without programmers: Mixpanel’s segmentation tool simplifies queries by visualising the questions users are wanting to ask. No more need to write technical SQL queries.

  • Use funnels to increase conversions: Identify where customers are being lost and run experiments to fix these issues.

  • Cohorts: Group customers into cohorts when they sign up to get the full picture on the effects of any changes being made.

  • Online help, tutorials and support: Gain advice from experts to get data-driven quickly.

Databricks for Data engineering workloads

$0.20
per Databricks unit plus Amazon Web Services costs
Included in plan:
  • Apache Spark
  • Databricks I/O
  • Databricks jobs
  • Databricks operational security package

Databricks for Data analytics workloads

$0.40
per Databricks unit plus Amazon Web Services costs
Included in plan:
  • Databricks interactive clusters
  • Databricks workplace

FAQs:

    What are some applications this service is commonly used in tandem with?
  • It is mostly used together with Microsoft Azure and Apache Spark.

  • Does this service offer an API?
  • Yes, it offers an API.

  • Does this service integrate with any other apps?
  • Integrations: Looker, Amazon Redshift, Tableau, Talend, Amazon Kinesis, Alteryx, MnigoDB, TIBC Spotfire, Pentaho, Cassandra, and Redis.

  • Who are the main user groups of this service?
  • Databricks are mostly used by data scientists and engineers in medium-sized and large enterprises, belonging to energy and utilities, financial services, advertising, and marketing industries.

  • What platforms does this service support?
  • Databricks is designed native to the cloud and on top of the propriety platform which allows its runtime to optimize Apache Spark.

  • Does this service offer guides, tutorials and or customer support?
  • Support: Knowledge Base, Online Support, Training, Webinars, and Videos.

  • What is this service generally used for?
  • This service is generally used as a unified data analytic solution.

FAQs:

    No FAQs associated with this application.

FAQs:

    No FAQs associated with this application.

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
11k
Followers:
25.8k

Publisher:

Founded:
2014
Based in:
Sliema
Employees:
11-50
Likes:
Followers:

Publisher:

Founded:
2009
Based in:
San Francisco
Employees:
51-200
Likes:
Followers:

Other:

Who uses Databricks
  • SMEs
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English
Regional Restrictions:
No restrictions.

Other:

Regional Restrictions:
No restrictions.

Other:

Regional Restrictions:
No restrictions.
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