In our company, we used the solution to build a SnapLogic pipeline in a non-production environment. Presently, our company is releasing it to the production environment. We have used SnapLogic in our organization for integrations. An EDI pipeline is built first, and then SnapLogic is utilized to convert EDI format to JSON and vice versa. Leveraging the internal systems in our company we are connecting to the SnapLogic API and sending the data, and then the converted files are obtained from SnapLogic.
I work as a solution architect, mainly focusing on integrating new software entities. Due to a client's needs to evaluate products, SnapLogic was considered, and we conducted some Proof of Concepts and suggested its use. So, our end customer is one of the medical equipment companies. They were looking for an integration solution, so we analyzed their requirements and determined what would best suit their business.
It's similar to other tools like Boomi. But, it's a smaller player, not as widely adopted. SnapLogic may be easier to use, with less coding, but I think that more comprehensive solutions will handle a wider range of tasks. I found it difficult to achieve what I needed with SnapLogic.
System Engineer at Intelizign Engineering Services
Real User
Top 10
2024-01-16T07:37:22Z
Jan 16, 2024
SnapLogic and Pentaho are tools I use collaboratively for data integration. I have good experience with Pentaho and SnapLogic for data migration from one database to another database. The main use cases of the tool are for data integration and migration from databases. In most of the use cases, my company uses SnapLogic for the migration of flat files to S3 and other databases. If my company gets flat files, like CSV, PostgreSQL, and XML files, from our clients, what we do is based on some of the business logic and the implementation they send to us. For my company to apply some business logic and implement it on top of the flat files, we will transfer the file using transform logic, after which we will migrate the data into the database, like Oracle or PostgreSQL.
It's useful to move data from one environment to another one, for example, from one database to another one. I can also change data types, delete some dates, update data, and clean data, for example. So it's really useful for us.
IT Engineer at a computer software company with 1-10 employees
Real User
Top 20
2023-01-30T20:09:12Z
Jan 30, 2023
I was utilizing Azure Data Lake block storage as a data lake, and I was performing numerous source extractions from various sources and transferring them to the data lake.
Snaplogic architect / Senior tecnical consultant at a tech services company with 201-500 employees
Consultant
2022-09-16T17:41:17Z
Sep 16, 2022
Our company is a partner and uses the solution as our main tool for client integrations. The solution works for any sized company to integrate HR, financial, and operational processes that sync data between databases for ETO transformations. The solution is effective at syncing data between different sources and targets including Snowflake and other data warehouse systems. We also use the solution to build many asynchronous and synchronous APIs that serve as the backend for systems and are easy to maintain.
Technical Manager at a tech services company with 11-50 employees
Real User
2022-06-30T15:18:00Z
Jun 30, 2022
I used SnapLogic for ETL purposes, particularly for automating manual activities, for example, automating validation reports, checking and generating email, etc.
My major use case for SnapLogic is for ETL. It's for data migration purposes. For example, I've used it to move data from SAP systems, across SAP systems, or across Salesforce systems. I've also used SnapLogic to integrate data from Workday or from some downstream enterprise specific applications to Workday.
SnapLogic was used for building simple pipelines to call REST API, to get details from a file and call REST API and post those details. It was also used while working with expense solutions for finance posting and other complex solutions.
It's primarily for cloud-to-cloud application integrations. We are moving the data in Redshift that is from Amazon. Our primary use case is for data integration, data applications, and data migrations from SAP data to data in Amazon Redshift.
Software Engineering Manager at a transportation company with 10,001+ employees
Real User
2020-02-26T05:55:57Z
Feb 26, 2020
We primarily use the solution for integrating different applications. It's very flexible and we can use it as either a database or just a set of cloud-based applications.
The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With...
In our company, we used the solution to build a SnapLogic pipeline in a non-production environment. Presently, our company is releasing it to the production environment. We have used SnapLogic in our organization for integrations. An EDI pipeline is built first, and then SnapLogic is utilized to convert EDI format to JSON and vice versa. Leveraging the internal systems in our company we are connecting to the SnapLogic API and sending the data, and then the converted files are obtained from SnapLogic.
I work as a solution architect, mainly focusing on integrating new software entities. Due to a client's needs to evaluate products, SnapLogic was considered, and we conducted some Proof of Concepts and suggested its use. So, our end customer is one of the medical equipment companies. They were looking for an integration solution, so we analyzed their requirements and determined what would best suit their business.
It's similar to other tools like Boomi. But, it's a smaller player, not as widely adopted. SnapLogic may be easier to use, with less coding, but I think that more comprehensive solutions will handle a wider range of tasks. I found it difficult to achieve what I needed with SnapLogic.
SnapLogic and Pentaho are tools I use collaboratively for data integration. I have good experience with Pentaho and SnapLogic for data migration from one database to another database. The main use cases of the tool are for data integration and migration from databases. In most of the use cases, my company uses SnapLogic for the migration of flat files to S3 and other databases. If my company gets flat files, like CSV, PostgreSQL, and XML files, from our clients, what we do is based on some of the business logic and the implementation they send to us. For my company to apply some business logic and implement it on top of the flat files, we will transfer the file using transform logic, after which we will migrate the data into the database, like Oracle or PostgreSQL.
It's useful to move data from one environment to another one, for example, from one database to another one. I can also change data types, delete some dates, update data, and clean data, for example. So it's really useful for us.
We use SnapLogic to connect APIs for effectively transferring and integrating data across multiple systems.
I was utilizing Azure Data Lake block storage as a data lake, and I was performing numerous source extractions from various sources and transferring them to the data lake.
We are using it for ETL and application integration.
Our company is a partner and uses the solution as our main tool for client integrations. The solution works for any sized company to integrate HR, financial, and operational processes that sync data between databases for ETO transformations. The solution is effective at syncing data between different sources and targets including Snowflake and other data warehouse systems. We also use the solution to build many asynchronous and synchronous APIs that serve as the backend for systems and are easy to maintain.
I used SnapLogic for ETL purposes, particularly for automating manual activities, for example, automating validation reports, checking and generating email, etc.
When we get a requirement from the business, we'll get the mapping documents. Based on the mapping documents, we'll map the issues.
My major use case for SnapLogic is for ETL. It's for data migration purposes. For example, I've used it to move data from SAP systems, across SAP systems, or across Salesforce systems. I've also used SnapLogic to integrate data from Workday or from some downstream enterprise specific applications to Workday.
SnapLogic was used for building simple pipelines to call REST API, to get details from a file and call REST API and post those details. It was also used while working with expense solutions for finance posting and other complex solutions.
It's primarily for cloud-to-cloud application integrations. We are moving the data in Redshift that is from Amazon. Our primary use case is for data integration, data applications, and data migrations from SAP data to data in Amazon Redshift.
We primarily use the solution for integrating different applications. It's very flexible and we can use it as either a database or just a set of cloud-based applications.