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gt0731
Contributor III
Contributor III

ETL Comparison

 Talend open source Vs Apache airflow  

1)      Scalability : can we run same jobs for multiple client

2)      What we are missing in Talend Open Studio compare to Talend enterprise?

3)      Any  limitation with respect to Google Cloud Platform , if any

4) can we use talend open source with airflow together for monitoring purpose.

Here is example

https://dzone.com/articles/airflow-to-manage-talend-etl-jobs

 

5) My data sources mainly related to social feeds like 

google analytics , adword , Doubleclick manager , DBM 

Facebook,twitter, linkedin , infinity call tracker etc  is it talend open source is good choice for it. 

 

target is Google bigquery service.

6. is it possible to achieve scalable architecute in talend open studio. Please advice on it.  what can be the good choice here.

 

Any help on it would be much appreciated ?

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1 Solution

Accepted Solutions
manodwhb
Champion II
Champion II

1) you can run same job with multiple clients.but you may find the error some time that same time job is running with multiple clients.

2) you will find few components diffrence like Talend Schedular,tParallel,CDC.etc., compare to community edition.

View solution in original post

3 Replies
manodwhb
Champion II
Champion II

1) you can run same job with multiple clients.but you may find the error some time that same time job is running with multiple clients.

2) you will find few components diffrence like Talend Schedular,tParallel,CDC.etc., compare to community edition.

gt0731
Contributor III
Contributor III
Author

 

you can run same job with multiple clients.but you may find the error some time that same time job is running with multiple clients.

How come  we overcome this some time error for permanently. is there any solution for it?

gt0731
Contributor III
Contributor III
Author

can you please elaborate with example point number 1 ?

 

1) you can run same job with multiple clients.but you may find the error some time that same time job is running with multiple clients. 

 

@manodwhb