| Editorial information provided by DB-Tools |
| Comparison |
| Name |
Azure Data Lake |
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| Version |
NA |
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| Drawbacks |
NA |
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| Advantages |
Develop massively parallel programs with simplicity
Debug and optimize your big data programs with ease
Enterprise-grade security auditing. Start in seconds scale instantly pay per job.
Built on YARN and designed for the Microsoft cloud |
-- |
| Languages Supported |
Java
Python
Scala |
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| Website |
aws.amazon.com/rds/aurora/ |
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| XML Support |
no |
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| JSON Support |
yes |
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| Brief description |
Azure Data Lake Stores and analyze petabyte-size files and trillions of objects |
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| Database Model |
Relational Database |
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| Technical Documentation |
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Overview.html |
-- |
| License |
Commercial |
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| Cloud-based / SaaS |
SaaS Service from AWS |
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| Implementation Language |
NA |
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| Operating System Supported |
Not Applicable as its managed by Azure |
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| Options for Integration / Access API |
Restful HTTP |
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| Consistency |
NA |
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| Foreign Keys |
NA |
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| Streaming Support |
Yes |
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| Analytics Support |
NA |
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| Data Storage Schema |
NA |
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| Notable Users |
NA |
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| Key Differentiator |
Azure Data Lake is the most stable of all the out of the box data lake solutions in the market as of sep 2018 |
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| Concurrency |
Yes |
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| Partitioning |
No |
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| Replication |
Yes |
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| Secondary Indexes |
Yes based on secondary indexes using Solr |
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| SchemaLess |
Yes |
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| SQL Query |
NA |
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