Informatica Cloud Data Integration Reviews & Product Details

Informatica Cloud Data Integration provides robust connectivity to a variety of data sources and cloud platforms. I appreciate its extensive selection of connectors and built-in transformations, which are particularly helpful for regular ETL tasks which are used by me on daily basis. After configuring the pipelines, data transfers are both dependable and scalable, and the integration with cloud data warehouses such as Snowflake works seamlessly. Review collected by and hosted on G2.com.

The initial setup and configuration process can be quite complex, particularly for those who are new to the platform. Monitoring and debugging jobs often require additional effort, and optimizing performance is not always a simple task. The user interface could be more intuitive, and the response times from support may vary depending on the nature of the issue. Review collected by and hosted on G2.com.

I like Informatica Cloud Data Integration because it offers a vast set of tools and has drag and drop features, which means I don't have to manually script everything. I just need to specify parameters or connections, and most of it is SQL-based, making it very easy to use and understand, even for beginners. Review collected by and hosted on G2.com.

The thing I would like to say which can be improved is defining parameters. Defining parameters is somewhat easy, but I feel like it should have more intelligence. Even if we don't specify parameters in the parameter panel, it should be able to identify if a parameter file is mentioned. AI or on-device AI could be used for identifying parameters, like if a single dollar or double dollar parameter is passed, so it should be able to fetch from the parameter file and execute it in the workflow. Review collected by and hosted on G2.com.

There is no need to install any software like we use to do for On Premise system , here we can directly acces the tool via URl and use the service in efficieny way and the next thing is powerfull transformation , it can handle n number of transformation operation on the source data like aggregation, join, rank ,expression , union and so on Review collected by and hosted on G2.com.

there is no much tutorial on the internet to learn this technology and sometimes its weired error while working on tha mapping , luckly it get resolved by shifting the varibale here and there , although such error was not coming in the informatica powercenter Review collected by and hosted on G2.com.

Informatica Cloud Data Integration (CDI) is cloud-based ETL (Extract, Transform, Load) and data integration workflows. Some of the standout aspects include: User Friendly Interface,Scalability and Cloud-Native Architecture, Automation and Scheduling. Easy to Use and more user friebdly when compared to others. Review collected by and hosted on G2.com.

Informatica CDI is quite expensive when compared to other cloud-based data integration tools, particularly for smaller organizations and teams. Review collected by and hosted on G2.com.

It helps in streamlining and gathering data from multiple sources. It has inbuilt features of monitoring tasks .

It is easier for business users to adopt the features of IICS.

It has ability to access real time data, it improves customer experience. Its vast number of modules helps business users to perform various use cases for their digital transformation project Review collected by and hosted on G2.com.

There is less support found in the market today. There are still operational bugs present in the tool which sometimes makes life difficult for the developers Review collected by and hosted on G2.com.

My comfortability is growing and developing with our IICS. We are migrating and integrating our IICS with a newly provisioned Linux enivronment. It has been enlightening to recreate the mapping and the taskflows. The IICS really facilitates easy creation of intricate flows within our business requirements to external platforms and internally to other teams. Any piece of this flow can be readily categorized and identified from the UI.

In this migration, I had frequent configuration questions with IICS help team. They all have been incredibly knowleable and accommodating. Their help has been invaluable. Review collected by and hosted on G2.com.

This is a rather minor nitpick, but IICS UI readily logs me out after only 15-20 of being idle. If idle time prior to logout could be extended, this would be greatly appreciated. Review collected by and hosted on G2.com.

The Variety Of the Connectors & Ease of Use Review collected by and hosted on G2.com.

The Limitation of Running Tasks in Parllel Comparing Machine Size .

The Impact Analysis is Poor and Backup Process shell be easy. Review collected by and hosted on G2.com.

Everything, It has all the connector so no need to create any custome connection. Review collected by and hosted on G2.com.

none, Sometimes it buffers a lot, other than that everything is good. Review collected by and hosted on G2.com.

It is easy to use via browser. It is very fast and there is no platform related overheads. Review collected by and hosted on G2.com.

Maybe getting connectors for the first time is bit tricky. Review collected by and hosted on G2.com.

designs the ETL mapping process in a very large way. The solution can handle a large volume of data.

It has extensive built-in features that help define mapping as per the needs

You can manage the data pipelines

Option for transforming the data via scripting such as SQL, Python

Not necessary to write the complex code

Can be hosted on platform such as Azure

It offers support for different technologies such as Salesforce, MongoDB, Snowflake, PostgreSql, etc. Review collected by and hosted on G2.com.

It requires the configuration of separate plug-ins for connecting to various data sources.

It does not work well with the dynamic data as compared to structured data.

It can consume more time when there is bigger cloud replication Review collected by and hosted on G2.com.