Databricks is a data lake house design that combines the advantages of data warehouses and data lakes. It works with you on all of your data, analytics, and AI workloads. for more info like these visit - https://www.forcebolt.com/

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2. Databricks is a data lake house design
that combines the advantages of data
warehouses and data lakes. It works
with you on all of your data, analytics,
and AI workloads.
What Is Databricks?
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Snowflake lets you to create data-
intensive apps with minimal operating
overhead. Snowflake, which is trusted by
fast-growing software firms, is a unified
platform that provides a wonderful cloud
experience with different workloads and
no data silos.
What Is
Snowflake?

4. Databricks vs Snowflake
An In-Depth Evaluation
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Structure
Of Data
Data
Ownership
Use Case
Versatility

5. Snowflake
Snowflake will automatically turn the data
into its internal organized format once it has
been uploaded.
Databricks
Databricks can be used as an ETL tool to
arrange unstructured data so that other
programmes, such as Snowflake, can work
with it.
Structure Of Data
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6. Data Ownership
Snowflake
Snowflake will tell you that, in comparison to
EDW 1.0, the storage and processing layers
have been decoupled.
Databricks
Databricks, on the other hand, completely
decouples the data storage and processing
layers. Databricks is more concerned with
the data processing and application layers.
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7. Snowflake
Working on data science and machine
learning use cases with Snowflake data will
almost certainly necessitate reliance on their
partner ecosystem.
Databricks
High-performance SQL queries are also
supported by Databricks for Business
Intelligence use cases. Databricks developed
open-source Delta Lake as an additional
layer of reliability on top of Data Lake 1.0.
Use Case Versatility
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8. Thank You!
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