Pre Sales
  • BDB Pre Sales
  • Manufacturing Use Case
    • Introduction
    • How is BDB different than Azure, AWS, or GCP?
    • Project Definition and Requirements
      • Functional Requirements
      • Technical Requirements
      • Non-Functional Requirements
      • Project Deliverables
    • Functional Requirements from Manufacturing
    • Technical Requirements
      • Data Ingestion
      • Data Processing (Batch Data)
      • Data Processing (Real-Time Data)
      • Data Preparation
      • Data Store(Data Lake)
      • Data Store (Enterprise Datawarehouse)
      • Query Engine
      • Data Visualization
      • BDB Search
      • Advanced Analytics and Data Science
    • Data Services
    • Security Requirements
    • Networking Requirements
    • Operational Requirement
    • Non-Functional Requirements
      • Scalability
      • Availability
    • Data Platform Benchmarking
    • Hardware Sizing Requirements
  • Data Platform Evaluation Criteria
    • Data Preparation
    • Data Platform Evaluation Highlights
    • Data Pipeline
    • Ingestion Connector
      • Seamless Handling of Data ops and ML ops
    • Ingestion Process
      • Building a path from ingestion to analytics
    • Data Preparation
      • Processing Modern Data Pipeline
  • BDB POC Approach
  • BDB Vertical Analytics
  • Technical FAQs
    • Data Platform
    • Administration
    • Data Security & Privacy
    • Analytics
    • Data Preparation
    • Data Pipeline
    • Dashboard Designer
    • Business Story
    • Performance & Scalability
    • Global and Embeddable
    • Deployability
    • User Experience
    • Support & Licensing
    • AI
    • Change Management
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  1. Manufacturing Use Case

How is BDB different than Azure, AWS, or GCP?

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Last updated 2 years ago

At a very high level, the above 3 are Cloud Offerings that have Cloud Servers (Hardware Farms), an entire Suite of Business Intelligence (Ingestion, Curation, AI/ML, Visualization, etc.) Software offered as Pay as Use Services, Data Lake (or Data Lake Houses) [Data Storage]. They are strong in Cloud; they do give customers on-premises services but those are at a very high price point. They try to tie enterprises to their ecosystem and after a certain point of time or maturity, their TCO is so high that most businesses feel cost pressures.

BDB is a suite of Business Intelligence Offering as a Single Platform that charges in a much more Predictable or Controlled way and gives the Flexibility required for the Enterprises to build their Data Platform.

BDB can be installed On-Premises & in Cloud (SaaS as well as Private Cloud) OR Hybrid (Cloud or On-Premises mode together). Just by using BDB as the BI Software, Customers can think of reducing TCO by 35-40% by implementing the following steps -