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Fivetran vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 3, 2024
 

Categories and Ranking

Fivetran
Ranking in Data Integration
13th
Ranking in Cloud Data Integration
6th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
25
Ranking in other categories
Data Replication (3rd)
Informatica Intelligent Dat...
Ranking in Data Integration
3rd
Ranking in Cloud Data Integration
3rd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
181
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (3rd), API Management (7th), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (4th), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Featured Reviews

Erik Jones - PeerSpot reviewer
Solution reduces time-to-value; high ROI
Fivetran has room for improvement in data pipeline observability. The Fivetran logs are fairly basic, compared to, for example, the insight Fivetran gives into helping users understanding the performance of data pipelines. So I think their observability into the pipeline itself could be improved. In addition, Fivetran is in the very early stages of allowing other companies to access its metadata API, but that's something that could use improvement, and I know that they're working on right now. We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool. It would be nice if Fivetran offered both their regular offering plus the reverse ETL option as well.
Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The product has some seamless connectors, which are readily available."
"The portal is very intuitive and easy to use."
"The general data ingestion is valuable. It's used for a lot of data. It provides about 90% of the data we use in our data warehouse without needing data engineering."
"The simplicity and scalability are the strongest features of Fivetran."
"The most important feature of the solution is its ability to build data pipelines in less time."
"It is not like a traditional ETL, but it gives quite a lot of flexibility."
"Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly."
"The most valuable feature of Fivetran is that it only synchronizes what needs to be synchronized."
"The most valuable feature of Informatica MDM is hierarchy management. It's not something that's typically available and effective within ERPs."
"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"It is one of the best tools available for data integration."
"There isn't any human touch involved. It's just an automated business process to build different applications and talking to various APIs using the client's ecosystems. We then build new functionalities out of it."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"A great product enrichment tool."
"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."
 

Cons

"I would like Fivetran to implement additional resource monitoring and restriction policies."
"The interface needs to be more user-friendly."
"The biggest area for improvement is in customization, particularly in how Fivetran socializes its tools."
"The customization could improve because Fivetran gives more thought to people who don't want to manage analytics workflows rather than engineers who want to be able to customize pipelines more thoroughly."
"The environment must be more development-friendly."
"Some of the pain points we're looking at are trying to integrate some of the items in the Microsoft stack, so SharePoint and Excel, and then some of the newer Azure services."
"Fivetran could improve in the area of customization, especially in how they socialize their tools."
"There is not a lot of options to customize the pipeline, and the cost is high."
"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."
"While my company operates on the cloud, we have seen that Informatica Cloud Data Integration has some performance issues causing it to lag."
"Cost-wise, it could be better."
"The solution still is a bit manual in its functionality. We want t to be more automation-driven."
"The on-prem solution is harder to learn than the cloud-based versions."
"The ability of the product to leverage the power of big data could be improved."
"I think they should work really hard on UI."
"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
 

Pricing and Cost Advice

"I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."
"In the first year, we were given a very good discount. It was approximately 20,000 Euros per year. In the third year, we purchased credit for two years and the price was 33,000 Euros per year."
"The licensing costs are extremely high for the usage of somebody who has one GB or two GB of usage per day for real-time traffic. There are many other players in the market which are similarly priced or competitively priced. On average per month, it used to come around 12,000-15,000 USD, which is very high."
"The product is reasonably expensive"
"I don't have the exact information, but I know it is high, and it is on a yearly basis. There is no additional cost for what we're doing. We're always open to doing things cheaper, so we might potentially implement a different solution."
"I would say they're a little bit on the expensive side, and their contract process is not particularly good, but there is a lot of potential flexibility."
"The pricing model is okay and mid to large companies will not have an issue with it."
"The solution is affordable."
"The platform has a premium cost. I rate the pricing as seven out of ten."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"We got a 50% discount."
"The product is highly-priced."
"The solution's pricing model is easy, but it is very expensive."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
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Top Industries

By visitors reading reviews
Educational Organization
29%
Computer Software Company
12%
Financial Services Firm
10%
Manufacturing Company
8%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What's the deal with the HVR software acquisition?
As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become som...
Does HVR Software provide reliable insights?
I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can ...
How much traffic can HVR Software handle?
As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Softwar...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
 

Also Known As

No data available
ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

Overview

 

Sample Customers

DocuSign, Oldcastle Infrastructure, Crossmedia, Talkdesk, Chubbies, Brandwatch
The Travel Company, Carbonite
Find out what your peers are saying about Fivetran vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: November 2024.
824,067 professionals have used our research since 2012.