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Score 8.2 out of 101
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Score 8.6 out of 101

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Likelihood to Recommend

Analyza

It is well suited when you have several sources of data.
Christophe Wins profile photo

Databricks Unified Analytics Platform

Right now, I am learning about Spark ML and general machine learning concepts. It is a good practice space to run different Spark ML codes. Databricks does provide valid errors and detailed descriptions of where I can fix my code. And to run a set of codes is very easy to maneuver around. If you do not know how to code, it might be less appropriate to use Databricks. But then again, they do have a large community where help can be found.
Ann Le profile photo

Feature Rating Comparison

BI Standard Reporting

Analyza
7.6
Databricks Unified Analytics Platform
Pixel Perfect reports
Analyza
7.3
Databricks Unified Analytics Platform
Customizable dashboards
Analyza
8.2
Databricks Unified Analytics Platform
Report Formatting Templates
Analyza
7.3
Databricks Unified Analytics Platform

Ad-hoc Reporting

Analyza
8.4
Databricks Unified Analytics Platform
Drill-down analysis
Analyza
9.1
Databricks Unified Analytics Platform
Formatting capabilities
Analyza
8.2
Databricks Unified Analytics Platform
Integration with R or other statistical packages
Analyza
8.2
Databricks Unified Analytics Platform
Report sharing and collaboration
Analyza
8.2
Databricks Unified Analytics Platform

Report Output and Scheduling

Analyza
8.9
Databricks Unified Analytics Platform
Publish to Web
Analyza
8.2
Databricks Unified Analytics Platform
Publish to PDF
Analyza
9.1
Databricks Unified Analytics Platform
Report Versioning
Analyza
9.1
Databricks Unified Analytics Platform
Report Delivery Scheduling
Analyza
9.1
Databricks Unified Analytics Platform

Data Discovery and Visualization

Analyza
7.3
Databricks Unified Analytics Platform
Pre-built visualization formats (heatmaps, scatter plots etc.)
Analyza
7.3
Databricks Unified Analytics Platform
Predictive Analytics
Analyza
7.3
Databricks Unified Analytics Platform

Access Control and Security

Analyza
7.7
Databricks Unified Analytics Platform
Multi-User Support (named login)
Analyza
7.3
Databricks Unified Analytics Platform
Multiple Access Permission Levels (Create, Read, Delete)
Analyza
8.2
Databricks Unified Analytics Platform

Mobile Capabilities

Analyza
8.2
Databricks Unified Analytics Platform
Responsive Design for Web Access
Analyza
9.1
Databricks Unified Analytics Platform
Dashboard / Report / Visualization Interactivity on Mobile
Analyza
7.3
Databricks Unified Analytics Platform

Platform Connectivity

Analyza
Databricks Unified Analytics Platform
8.3
Connect to Multiple Data Sources
Analyza
Databricks Unified Analytics Platform
9.0
Extend Existing Data Sources
Analyza
Databricks Unified Analytics Platform
9.0
Automatic Data Format Detection
Analyza
Databricks Unified Analytics Platform
7.0

Data Exploration

Analyza
Databricks Unified Analytics Platform
6.0
Visualization
Analyza
Databricks Unified Analytics Platform
6.0
Interactive Data Analysis
Analyza
Databricks Unified Analytics Platform
6.0

Data Preparation

Analyza
Databricks Unified Analytics Platform
8.0
Interactive Data Cleaning and Enrichment
Analyza
Databricks Unified Analytics Platform
8.0
Data Transformations
Analyza
Databricks Unified Analytics Platform
9.0
Data Encryption
Analyza
Databricks Unified Analytics Platform
7.0
Built-in Processors
Analyza
Databricks Unified Analytics Platform
8.0

Platform Data Modeling

Analyza
Databricks Unified Analytics Platform
8.3
Multiple Model Development Languages and Tools
Analyza
Databricks Unified Analytics Platform
9.0
Automated Machine Learning
Analyza
Databricks Unified Analytics Platform
8.0
Single platform for multiple model development
Analyza
Databricks Unified Analytics Platform
9.0
Self-Service Model Delivery
Analyza
Databricks Unified Analytics Platform
7.0

Model Deployment

Analyza
Databricks Unified Analytics Platform
7.5
Flexible Model Publishing Options
Analyza
Databricks Unified Analytics Platform
7.0
Security, Governance, and Cost Controls
Analyza
Databricks Unified Analytics Platform
8.0

Pros

  • Easy to use
  • Focus on analyzing and not on finding and loading data
  • "One version of the truth"
Christophe Wins profile photo
  • There is databricks community, which is a free version. It is available for beginners to have an easy start with a big data platform. It does not have every feature of the full version but is still adequate for extremely new coders.
  • There are many resourceful training elements that are available to developers, data scientists, data engineers and other IT professionals to learn Apache Spark.
Ann Le profile photo

Cons

  • I would like to have more modules. Eg. : supply chain tool.
Christophe Wins profile photo
  • The navigation through which one would create a workspace is a bit confusing at first. It takes a couple minutes to figure out how to create a folder and upload files since it is not the same as traditional file systems such as box.com
  • Also, when you create a table, if you forgot to copy the link where the table is stored, it is hard to relocate it. Most of the time I would have to delete the table and re-created.
Ann Le profile photo

Usability

No score
No answers yet
No answers on this topic
Databricks Unified Analytics Platform9.0
Based on 1 answer
This has been very useful in my organization for shared notebooks, integrated data pipeline automation and data sources integrations. Integration with AWS is seamless. Non tech users can easily learn how to use Databricks. You can have your company LDAP connect to it for login based access controls to some extent
No photo available

Alternatives Considered

Cognos is very expensive and needs heavy IT-team to implement it.
Christophe Wins profile photo
Databricks was picked among other competitors. Closest competition in our organization was H2O.ai and Databricks came out to be more useful for ROI and time to market in our internal research.We could have used AWS products, however Databricks notebooks and ability to launch clusters directly from notebooks was seen as a very helpful tool for non tech users.
No photo available

Return on Investment

No answers on this topic
  • ROI for us has been tremendous. Time to market by processing raw data in our big data infrastructure has been pretty fast.
  • Non engineers can easily use Databricks, hence helping business customers.
  • Thousands of different data combinations can easily be joined and used by our data teams.
No photo available

Screenshots

Databricks Unified Analytics Platform

Pricing Details

Analyza

General
Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Required
$15,000*
1.  per installation (including licences and maintenance for 3 years)
Analyza Editions & Modules
Analyza
On-premise Edition
Analyza Standalone
$15,0001
1. per installation (including licences and maintenance for 3 years)
SaaS Edition
Analyza Cloud
$15,0001
1. per installation (including licences and maintenance for 3 years)
Additional Pricing Details
The On-Premise or SaaS solutions are the same price; we provide a dedicated machine or virtual machine for both. For 10 users, the budget is from $15,000 to $90,000 for a full Business Intelligence solution (including licenses and maintenance for 3 years). The installation and configuration cost depends on customer's data architecture, volume and number of sources. It also depends on customizations required (i.e.: exporting pixel to pixel PDF files to a SharePoint platform).

Databricks Unified Analytics Platform

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Databricks Unified Analytics Platform Editions & Modules
Databricks Unified Analytics Platform
Additional Pricing Details