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Google Cloud Datalab pros and cons

Vendor: Google
3.9 out of 5

Pros & Cons summary

Buyer's Guide

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Prominent pros & cons

PROS

All features are quite good.
Designing the data pipeline is easy in Google Cloud.
The infrastructure is highly reliable and efficient.
Google Cloud Datalab is very customizable.
APIs are valuable.

CONS

Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience.
Challenges in data control and segmentation during the transition period require precise control due to unique characteristics of each channel and data structure.
The complexity of allocation increases due to the different time zones and geographic locations of clients.
The process involves migrating existing database sets to GCP while ensuring data integrity is maintained.
Processing can be cumbersome even if the application is always connected to its database.
 

Google Cloud Datalab Pros review quotes

LJ
Jun 18, 2024
For me, it has been a stable product.
TuPhan - PeerSpot reviewer
Nov 24, 2023
The infrastructure is highly reliable and efficient, contributing to a positive experience.
DerekBonafede - PeerSpot reviewer
Feb 13, 2024
The APIs are valuable.
Learn what your peers think about Google Cloud Datalab. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
824,053 professionals have used our research since 2012.
Nilesh Gode - PeerSpot reviewer
Nov 1, 2023
In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud.
DW
Jan 18, 2024
Google Cloud Datalab is very customizable.
Kerem Celenli - PeerSpot reviewer
Mar 30, 2020
All of the features of this product are quite good.
 

Google Cloud Datalab Cons review quotes

LJ
Jun 18, 2024
Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated.
TuPhan - PeerSpot reviewer
Nov 24, 2023
Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience.
DerekBonafede - PeerSpot reviewer
Feb 13, 2024
The product must be made more user-friendly.
Learn what your peers think about Google Cloud Datalab. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
824,053 professionals have used our research since 2012.
Nilesh Gode - PeerSpot reviewer
Nov 1, 2023
There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option.
DW
Jan 18, 2024
We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience.
Kerem Celenli - PeerSpot reviewer
Mar 30, 2020
The interface should be more user-friendly.