Informatica Intelligent Data Management Cloud (IDMC) vs Toad Data Point comparison

Informatica Intelligent Data Management Cloud (IDMC) vs. Toad Data Point

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Review summaries and opinions

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

Categories and Ranking

Informatica Intelligent Dat...

Ranking in Data Integration

2nd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

214

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (2nd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)

Toad Data Point

Ranking in Data Integration

32nd

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Preparation Tools (6th)

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.5%, down from 5.3% compared to the previous year. The mindshare of Toad Data Point is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	3.5%
Toad Data Point	0.8%
Other	95.7%

Data Integration

Featured Reviews

Divya-Raj

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

Handles large data volumes effectively and offers competitive pricing

There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

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reviewer2686479

Works

Facilitates seamless connections and automation across multiple data sources

Toad Data Point should include more features for utilizing AI, which can automatically perform many tasks. The tool should have a feature where, if I convert my Oracle connection, the code, whether a select statement or anything else, should automatically convert into Oracle format. The same with SQL. When connecting to SQL, the code should be in SQL format, and when connecting to Teradata, it should be in Teradata format. Since not everyone knows all languages, there should be a feature that automatically converts code into the desired format. It's not user-friendly. Once you start using it, you eventually get to know the features.

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Quotes from Members

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

Pros

"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."

"Whether we need data cleansing or data mastering, we get it all in one platform."

"I like the fact that you can find almost any product connection that you need and the list is always expanding."

"The most valuable feature of Informatica MDM is hierarchy management. It's not something that's typically available and effective within ERPs."

"The quality of the data improves with Informatica Cloud Data Quality."

"I think the integration feature is probably one of the key features in Informatica MDM...Stability-wise, I rate the solution a ten out of ten."

"MDM doesn't require a separate IDQ."

"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."

"With Toad Data Point, I can automate most steps automatically."

"I have never experienced any issues with customer service."

"We love it."

"It provides better SQL development tooling than SQL Developer, which is not a sufficient tool for all development use cases. It offers power developers the tools they need."

"One of the greatest features is that you can get data from anywhere to anywhere with Toad Data Point."

"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."

"The best thing about it is its automation features."

Cons

"I think they should work really hard on UI."

"The downside of Informatica Cloud Data Quality is that it requires a developer to write rules and maintain the systems. This creates a significant cost and time burden."

"The product's pricing is definitely an area where a bit of improvement is needed."

"They need more feature flexibility, as it is not fully developed."

"In terms of what could be improved, they need to create a rules repository. Business rules for the attributes that you have, keeping them in that central repository, and governance of them is something which Axon is lacking a bit. The Informatica Data Quality tool actually caters to that, so that's probably why they have not built that up in the Axon, but it is definitely something that can be built in to this product, as well."

"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."

"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."

"I have received feedback from certain teams and there is a steep learning curve to use this solution."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."

"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."

Pricing and Cost Advice

"It's a costly solution"

"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."

"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."

"The licenses attached to the solution are highly priced."

"We are quite happy with the licensing model."

"It's pretty high for us. It's more on the higher side, like low to middle high."

"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."

"I rate the licensing cost of Informatica MDM a five out of ten."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

"The price of Toad Data Point was approximately $500 annually."

"The cost of this product is reasonable."

"The Mac licenses are expensive, costing 1,600 dollars each. This is much higher than for the Windows version. I maintain a very limited number of licenses due to this cost."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

10%

Computer Software Company

Retailer

Financial Services Firm

28%

Healthcare Company

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	51
Midsize Enterprise	27
Large Enterprise	153

No data available

Questions from the Community

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 ...

What is your experience regarding pricing and costs for Toad Data Point?

The pricing for Toad Data Point is where it gets into trouble. Microsoft is free, so if you get SQL Server, you get all the other stuff with it. You have to use several Microsoft tools that don't a...

What needs improvement with Toad Data Point?

I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky.

What is your primary use case for Toad Data Point?

When I use it, I'm using it for writing SQL or testing SQL code. I used to use it for moving data, loading files into database tables, from tables to other tables.

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Product Reports

Informatica Intelligent Data Management Cloud (IDMC)

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Informatica Intelligent Data Management Cloud (IDMC) report

Toad Data Point

Download Toad Data Point product report

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

No data available

Overview

Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.

IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.

What are the key features of IDMC?

Integration Capabilities: Ensures seamless connectivity between on-premise and cloud environments.
Master Data Management: Centralizes and streamlines data processes for enhanced quality.
Data Quality: Employs tools for cleansing and standardizing data accuracy.
Address Validation: Features AddressDoctor for precise address verification.
Real-Time Processing: Supports real-time data handling for critical operations.
Connectivity Options: Offers a wide array of connectors for easy data source interaction.

What benefits and ROI should users consider?

Scalability: Cloud-native design boosts system agility, adapting to data volume changes.
Security: Enhances data protection with robust encryption and compliance measures.
Efficiency: Automates processes to reduce manual effort and errors.
Flexibility: Supports diverse data management styles, offering adaptability to business changes.
Governance: Empowers effective data governance through comprehensive metadata management.

In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.

Informatica

Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.

Quest Software

Sample Customers

The Travel Company, Carbonite

Concordia University

Informatica Intelligent Data Management Cloud (IDMC) vs. Toad Data Point