Databricks Pricing & Demo

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Databricks
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86 Likes
74 Buyers Negotiating

Databricks USP

Databricks is the output of the collaboration of Microsoft, Databricks, and Azure Spark. The tool offers the best cloud environment for data scientists, data engineers, and business analysts to perform the analysis fast with affordable Databricks Pricing models. Databricks can be integrated easily with other software allowing the users to share the workspace using a single interface.

Request Databricks Pricing to get more information.

Summary

Databricks is a complete data analytics platform created for machine learning, data engineering, and analytics. It offers unique and powerful features that allow organizations to support the power of AI. The key features include cost management, security tools, cloud environment, and built-in production tools, which provide the backbone for the businesses to perform streamlined and increase productivity.

Databricks Pricing

The Databricks pricing plans vary according to users. It offers three enterprise pricing options for its users. The Databricks pricing for Data engineering workloads is $0.20 per unit, and it is $0.40 per Databricks unit for Data analytics workloads. Apart from that, there is an Enterprise plan for contact vendors.

Databricks Demo

The Databricks provides a free trial period of 14 days. You can select from community editions or Databricks platform free trial. Both give the free Databricks unit, but the Databricks platform free trial is more flexible than the community edition.

Features-

  • Data Collection and Distribution-
  • It collects and organizes the huge and unstructured data in real-time.
  • It distributes the collected data using parallel computing clusters.
  • Machine Scaling and Data Preparation-
  • It provides machine scaling solutions to run and scale to various machines.
  • It assists in analyzing, manipulating, and modeling the collected data for big data analytics.
  • It aligns the processing and distribution workflows.

 

  • Processing-
  • It moves the collected big data and processes to the Cloud.
  • It processes the real-time, streaming, and batch data workload to Cloud systems.
  • Building Reports-
  • It can restructure the data for fast and accurate insights.
  • It converts the source data formats into the format required for the reporting.

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Strengths
  • +9
    Data Lake
  • +8
    Multi-Source Analysis
  • +7
    Spark Integration
  • +10
    Data Mining
  • +7
    Consulting
  • +5
    Ticketing
  • +10
    Cloud, Web-based, SaaS
  • +11
    Dashboards
  • +10
    Real-Time Reporting
  • +6
    Content Analytics
  • +14
    Decision Management
  • +8
    Predictive Analytics
  • +5
    Text Analytics
  • +6
    Hadoop Integration
  • +7
    Collaboration
  • +8
    Data Blends
  • +9
    Data Cleansing
  • +11
    Data Visualization
  • +12
    Data Warehousing
  • +13
    High Volume Processing
Weaknesses
  • -14
    No-Code Sandbox
  • -5
    Templates
  • -6
    Live Support Chat
  • -13
    Maintenance & Troubleshoot
  • -14
    System Integration
  • -12
    Hybrid
  • -12
    Location-Based Insights
  • -11
    On-Premise
  • -13
    Risk Analytics
  • -9
    Social Media Analytics
  • -7
    Statistical Analysis

Databricks Reviews

user-icon

Buyer, Finance, SME

2
May 08, 2020

“Great tool for distributed programming”

It gives a great user experience owing to ease of use and understanding. It can easily be integrated with other software such as Azure Services.
Useful (0) Not useful (0)
user-icon

Buyer, Software, SME

3
May 08, 2020

“One of the best scalability solutions”

Spark is the rapidly growing technology, and Databricks gives the platform that makes the transition to Spark easier even for the people using it for the first time. Databricks can be connected to Github to make the data sharing easy.
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Useful (0) Not useful (0)
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  SME
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