I use the solution for financial institutions, where we push our data into the warehouses and analytics platforms. We query the Kafka messaging services and see whatever message we get. We used to take the API responses and load them into different target systems, some cloud-based and some on-prem. For some security reasons, we used to push the data to the on-prem and then the cloud versions.
Director of Sales and Marketing at Informatic Technologies, Inc
Real User
Top 10
2024-03-21T08:34:00Z
Mar 21, 2024
A stand-alone application used for any integration with third party tools, like Oracle, it may be SAP, or it can be their local in-house build, or HRMS. It can be any application from A to Z. But this acts like in the web services.
We use Informatica Cloud Data Integration to migrate to the cloud, upgrade our data warehouse, and implement master data management. It helps us with in-depth analysis, leveraging shared history, and addressing data governance questions.
In my company, we use Informatica Cloud Data Integration because I work in the insurance sector, where we use the tool for data migration from one environment to another. We also use Informatica Cloud Data Integration in scenarios where the clients switch from their legacy system to Informatica Cloud using Azure Synapse, because of which we have to migrate all the data to Azure Synapse.
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
We use Informatica as our one-stop cloud integration solution. We are connecting two different data systems like SAP or Salesforce, integrating on-site financial data with some applications that process financial information like an ERP to plan budgets and forecast revenue. I'm creating a data warehouse and using that with tools like Power BI to create reports and dashboards.
Data Engineer at a pharma/biotech company with 10,001+ employees
Real User
Top 5
2022-12-02T14:37:58Z
Dec 2, 2022
We are using Informatica Cloud Data Integration in a large organization, and we have customers all across the world. Informatica Cloud Data Integration is for migrating data from a source to a target. The major advantage of working with this solution is that it can handle large amounts of data. The drawback is the performance is a bit slow but it can handle a large amount of data compared to other tools.
We are currently working on a project with the Oracle Fusion system, so we have multiple use cases and often need to pool data in different source systems. In the project, we have multiple sources and target systems. Based on the requirements, clients, and what they propose, we need to make decisions or check the technical feasibility of whether it is possible to complete the integration.
We are using Informatica Cloud Data Integration to take sources from databases to flat files or from web service to flat files. We do data integration with the tool.
Enterprise Architect at a consumer goods company with 501-1,000 employees
Real User
2022-05-16T18:32:00Z
May 16, 2022
We use it to take data from one source to another. It's a subscription service. It's in Informatica's cloud, and because we have the cloud version, we are up to date in terms of its version.
Informatica Product Manager at a tech services company with 11-50 employees
Real User
2021-11-17T07:05:57Z
Nov 17, 2021
Our primary use case of this solution is for data integration; integrating cloud warehouse or cloud layout. Cloud Data Integration offers capabilities that didn't exist in the on-prem version. I'm the company product manager.
Senior Technical Architect at Larsen & Toubro Infotech Ltd.
Real User
2020-06-08T06:11:07Z
Jun 8, 2020
We use the solution for cloud-to-cloud migration so our clients have all applications and data on their Oracle solutions, and we move it from there to AWS cloud and then to Salesforce. We're an implementation partner with Informatica and I'm the senior technical architect in the company.
BI Consultant at a computer software company with 1,001-5,000 employees
Real User
2020-05-27T16:23:42Z
May 27, 2020
Our primary use case is connecting to the AWS S3 buckets and AWS instances in the cloud, extracting data from on-premises, and pushing it to the cloud. I think that's a perfect use case for Informatica Cloud.
We use Informatica Cloud Data Integration mainly for monthly mapping tasks. We work with it on cloud because we help customers to use the solution and to integrate it on their database and on their information systems.
Data Governance & Lineage Product Manager at Primeur
Real User
2019-08-21T06:36:00Z
Aug 21, 2019
Our primary use case for this solution is managing different environments. We have some applications on our site and some applications on the cloud so we use Informatica to integrate everything.
Software Architect at a manufacturing company with 501-1,000 employees
Real User
2018-10-24T14:07:00Z
Oct 24, 2018
Our primary use case for this product is two-fold: * Reporting- If the users want to visualize into a meaningful report then they would pass on that as a requirement to the Informatica team. This goes to the Informatica team, which will then apply the business rules and validation, cleansing or whatever else is needed on top of the data set. * ETL-There is a lot of information that is required by multiple downsizing applications. So, if the file of information is huge, it does not fit into application integration use case so then Informatica can take a huge set of data and pass it onto several downsizing applications.
Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.
IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and...
I use the solution for financial institutions, where we push our data into the warehouses and analytics platforms. We query the Kafka messaging services and see whatever message we get. We used to take the API responses and load them into different target systems, some cloud-based and some on-prem. For some security reasons, we used to push the data to the on-prem and then the cloud versions.
A stand-alone application used for any integration with third party tools, like Oracle, it may be SAP, or it can be their local in-house build, or HRMS. It can be any application from A to Z. But this acts like in the web services.
I use the solution for preparing the data according to the data quality rules.
We use Informatica Cloud Data Integration to migrate to the cloud, upgrade our data warehouse, and implement master data management. It helps us with in-depth analysis, leveraging shared history, and addressing data governance questions.
In my company, we use Informatica Cloud Data Integration because I work in the insurance sector, where we use the tool for data migration from one environment to another. We also use Informatica Cloud Data Integration in scenarios where the clients switch from their legacy system to Informatica Cloud using Azure Synapse, because of which we have to migrate all the data to Azure Synapse.
We use the solution for data modularization.
Informatica Cloud Data Integration is being used to transform data. Primarily, it is for creating data pipelines.
We use Informatica as our one-stop cloud integration solution. We are connecting two different data systems like SAP or Salesforce, integrating on-site financial data with some applications that process financial information like an ERP to plan budgets and forecast revenue. I'm creating a data warehouse and using that with tools like Power BI to create reports and dashboards.
We use the solution for Salesforce data integration, multi-cloud approaches and processing bottlenecks. We deploy the solution in a hybrid format.
We are using Informatica Cloud Data Integration in a large organization, and we have customers all across the world. Informatica Cloud Data Integration is for migrating data from a source to a target. The major advantage of working with this solution is that it can handle large amounts of data. The drawback is the performance is a bit slow but it can handle a large amount of data compared to other tools.
We are currently working on a project with the Oracle Fusion system, so we have multiple use cases and often need to pool data in different source systems. In the project, we have multiple sources and target systems. Based on the requirements, clients, and what they propose, we need to make decisions or check the technical feasibility of whether it is possible to complete the integration.
We are using Informatica Cloud Data Integration to take sources from databases to flat files or from web service to flat files. We do data integration with the tool.
We are resellers.
We use it to take data from one source to another. It's a subscription service. It's in Informatica's cloud, and because we have the cloud version, we are up to date in terms of its version.
We primarily use the solution for data integration, management, and more recently, data cataloging in the lineage.
Our primary use case of this solution is for data integration; integrating cloud warehouse or cloud layout. Cloud Data Integration offers capabilities that didn't exist in the on-prem version. I'm the company product manager.
We use the solution for cloud-to-cloud migration so our clients have all applications and data on their Oracle solutions, and we move it from there to AWS cloud and then to Salesforce. We're an implementation partner with Informatica and I'm the senior technical architect in the company.
Our primary use case is connecting to the AWS S3 buckets and AWS instances in the cloud, extracting data from on-premises, and pushing it to the cloud. I think that's a perfect use case for Informatica Cloud.
Our primary use case for the solution has been in some of our smaller pilot projects.
We use Informatica Cloud Data Integration mainly for monthly mapping tasks. We work with it on cloud because we help customers to use the solution and to integrate it on their database and on their information systems.
Our primary use case for this solution is managing different environments. We have some applications on our site and some applications on the cloud so we use Informatica to integrate everything.
We are using this solution for integration and development.
Migrate workloads from on-prem. That's the usual scenario for many customers in the past. The question is if IICS could help painlessly.
Our primary use case for this product is two-fold: * Reporting- If the users want to visualize into a meaningful report then they would pass on that as a requirement to the Informatica team. This goes to the Informatica team, which will then apply the business rules and validation, cleansing or whatever else is needed on top of the data set. * ETL-There is a lot of information that is required by multiple downsizing applications. So, if the file of information is huge, it does not fit into application integration use case so then Informatica can take a huge set of data and pass it onto several downsizing applications.