Databricks Data Analysis Software Pricing & Demo

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Databricks Data Analysis Software
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64 Buyers are Negotiating "Group Buyer Deal"

Databricks Data Analysis Software USP

Databricks is a cloud-based source for collaborative data science and large scale data engineering. It helps organizations in making all their data ready for analytics, empowering data science and data-driven decisions across the organization, and rapidly adopting machine learning to outpace the competition. It helps the organizations innovate faster and tackle challenges easily through rapid drug discovery, improvement in energy efficiency, and protecting the financial markets. 

Request Databricks Data Analysis Software Pricing to get more information.

Summary

This software is designed as a cloud-based service for massive-scale data engineering and collaborative data science. It helps the data teams in solving the world's toughest problems. The software aims at offering a wide range of benefits by putting hundreds of statistical tools at fingertips for improvement of customer satisfaction and ease.

Databricks Pricing  

Databricks pricing starts at $99.00 per month. It also offers a free trial that is valid for a limited period of time. Databricks pricing varies when there’s a custom requirement at the user end. For more Databricks pricing plans, contact vendor. Databricks pricing is in line with the competitors


Databricks Demo 

It provides a demo through documentation, FAQs, advisory services, forums, and training and certification on its website aiming to attract prospective customers. One can email/call to get better clarity on product pros.


Features-

Database
  • Allow for the dissemination of collected big data
  • Collect, store and organize massive, unstructured real-time data
  • Create repository to gather and store raw data

Platform  
  • Facilitates machine scaling
  • Curate collected data for big data analytics solutions for businesses
  • Align processing and distribution workflows

Cloud and Workload processing
  • Move big data collection and processing to the cloud
  • Process real-time and streaming data workload into a singular, multi-tenant, or cloud systems

Data transformation and modelling 
  • Provide an interface to design and refine dashboards and reports
  • (Re)structure data in a form that allows extracting insights fast and accurate
  • Transform data formats of source data into the required format for the reporting system accurately

 

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Databricks Data Analysis Software
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Strengths
  • +5
    Predictive Analytics
  • +14
    WYSIWYG Report Design
  • +12
    Consulting
  • +9
    Mobile App
  • +6
    Monthly Subsciption
  • +8
    Web-Based, Cloud, SaaS
  • +5
    Dashboards
  • +13
    Graphs and Charts
  • +11
    Reports Interface
  • +14
    Score Cards
  • +12
    Steps to Answer
  • +11
    Automodeling
  • +10
    Collaboration / Workflow
  • +7
    Data Column Filtering
  • +7
    Big Data Services
  • +13
    Data Modeling
  • +12
    Data Transformation
  • +6
    Data Visualization
  • +14
    Customer Service
  • +13
    System Integration
Weaknesses
  • -7
    Annual Subscription
  • -5
    Free
  • -11
    Mac Installation
  • -8
    One-Time Purchase
  • -10
    Windows Installation
  • -6
    Calculated Fields
  • -8
    Data Discovery
  • -9
    Search

Databricks Data Analysis Software Reviews

user-icon

Buyer, Finance, SME

3
Apr 25, 2020

“Best scalability solutions”

it makes transitioning to Spark easier. It also has tutorials for beginners to help them onboard the platform. Its connection with Github makes it easy to share the projects with the world. It also provides ease of pipeline creation in any language. It provides ease of switching from Python to SQL to Scala from one cell to the next.
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user-icon

Buyer, Media & Entertainment, SME

5
Apr 25, 2020

“Great user experience”

It is easy to understand and use with ease of integration with other software with the ability to automatically load data for collection and analysis. It also customizes the notebooks and nodes. It is great for interacting with expansive datasets. It architects data delivery in an easy to use and intuitive manner providing comfort to non-data-savvy users.
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