What users are saying about
2 Ratings
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Score 6 out of 101
16 Ratings
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Score 8.7 out of 101

Likelihood to Recommend

Analyza

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

Databricks Unified Analytics Platform

Databricks has helped my teams write PySpark and Spark SQL jobs and test them out before formally integrating them in Spark jobs. Through Databricks we can create parquet and JSON output files. Datamodelers and scientists who are not very good with coding can get good insight into the data using the notebooks that can be developed by the engineers.
No photo available

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

Analyza

  • Easy to use
  • Focus on analyzing and not on finding and loading data
  • "One version of the truth"
Christophe Wins profile photo

Databricks Unified Analytics Platform

  • Process raw data in One Lake (S3) env to relational tables and views
  • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
  • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
  • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
No photo available

Cons

Analyza

  • I would like to have more modules. Eg. : supply chain tool.
Christophe Wins profile photo

Databricks Unified Analytics Platform

  • 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

Analyza

No score
No answers yet
No answers on this topic

Databricks Unified Analytics Platform

Databricks Unified Analytics Platform 9.0
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

Analyza

Cognos is very expensive and needs heavy IT-team to implement it.
Christophe Wins profile photo

Databricks Unified Analytics Platform

I also use Microsoft Azure Machine Learning in parallel with Databricks. They use different file formats which teach me to be flexible and able to write different programs. They are equally useful to me and I would like to master both platforms for any future usage. I do prefer Databricks because it could be free if I decided to go with the Databricks Community Edition only.
Ann Le profile photo

Return on Investment

Analyza

No answers on this topic

Databricks Unified Analytics Platform

  • Machine learning is a very new concept and not many universities offer to teach it. My school and a few others have been utilizing Databricks as one of the tools to teach and learn machine learning. By doing this, my university is creating a strong future workforce for the job market.
Ann Le profile photo

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

Add comparison