IT Central Station is now PeerSpot: Here's why
Buyer's Guide
Data Integration Tools
June 2022
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Machine Learning | Data Engineering | BI Consutlant and Lecturer at a consultancy with self employed
Real User
Top 20
Great logic and the ability to call outside API if needed. Key feature is management of different sources
Pros and Cons
  • "Connects to many APIs in the market and new ones are being added all the time."
  • "Lineage and an impact analysis or logic dependency are lacking."

What is our primary use case?

Our use case of this solution is as an ETL tool, or in the category of an IPAS, integration platform as a service. We use this to ingest data. Rivery is also our scheduler to run all our data procedures on our ETL engine. I'm a machine learning and data engineer and we are customers of Rivery. 

What is most valuable?

This solution has many data sources. They connect to many, many, APIs in the market and new ones are being added all the time. I like the logic of the product, the ability to call outside API if you need to. And I very much like how they manage different sources, like SQL server which is what we mostly work with.

What needs improvement?

I think lineage and an impact analysis or logic dependency are lacking. There's no dependency analysis and no connector to Elasticsearch, which I'd like to see. I'd also like to see them add Lineage and Python, that would be good. 

For how long have I used the solution?

I've been using this solution for a year.

What do I think about the stability of the solution?

The solution is stable. 

What do I think about the scalability of the solution?

The solution is completely managed and therefore it's scalable.

How are customer service and technical support?

The technical support is very good.

How was the initial setup?

The initial setup was simple and takes no time at all. It's an IPAS so there are setup steps like connecting it to our data sources, which are behind our VPC, and there is a very well documented procedure on how to do that. It was just a matter of sending it to our system administrator who did the rest of the work. There are three people in the company using this solution all the time. 

What's my experience with pricing, setup cost, and licensing?

I think the solution is reasonably priced and there are no fees in addition to the licensing cost. 

Which other solutions did I evaluate?

I compared Rivery with Fivetran, and Fivetran was missing all the scheduling options, which should really come built in with this kind of solution. Rivery is also more simple to work with. 

What other advice do I have?

I would recommend this solution and rate it a nine out of 10. 

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Suraj Kshirsagar - PeerSpot reviewer
Azure Architect\Informatica ETL Developer at Relativity
Real User
Top 20
A helpful and responsive GUI, but there are a lot of tasks for which you need to write code
Pros and Cons
  • "The most valuable feature is the ease in which you can create an ETL pipeline."
  • "The support and the documentation can be improved."

What is our primary use case?

I use this primarily for ETL tasks.

What is most valuable?

The most valuable feature is the ease in which you can create an ETL pipeline.

The GUI is very helpful when it comes to creating pipelines. The user interface is also very fast.

The connection to Snowflake is easy. I can store data and transform it during the ETL process before sending it to Snowflake.

What needs improvement?

Azure Data Factory is a bit complicated compared to Informatica. There are a lot of connectors that are missing and there are a lot of instances where I need to create a server and install Integration Runtime.

The support and the documentation can be improved.

There are a lot of tasks that you need to write code for.

For how long have I used the solution?

I have been using Azure Data Factory for about six months.

Which solution did I use previously and why did I switch?

I have experience with Informatica and I find it easier to use. For example, there are a lot of connectors that are directly available. Also, Informatica is able to take incremental copies, but with Azure, you have to write code to do that.

I have also worked with Matillion and Fivetran, and I feel that there are a lot of things that Azure can learn from these products. For example, with Fivetran there are very good connectors for copying data between other solutions. This is unlike Azure, where a lot of the time, I have to build my own logic.

How was the initial setup?

The initial setup is complex.

What other advice do I have?

I would rate this solution a seven out of ten.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Microsoft Azure
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
Buyer's Guide
Data Integration Tools
June 2022
Get our free report covering Microsoft, Matillion, HVR Software, and other competitors of Fivetran. Updated: June 2022.
610,045 professionals have used our research since 2012.