IBM StreamSets

At Unify Logistics Solutions, we use IBM StreamSets to manage real-time data pipelines across our hybrid cloud and on-prem systems. It helps us solve key challenges like data drift, inconsistent formats, and latency in logistics tracking. With StreamSets, we can ingest, transform, and deliver data from IoT sensors, warehouse systems, and partner APIs into our analytics platforms with minimal manual effort.

• Time savings – Automated data pipelines reduced manual processing by 60%, freeing up engineering hours.
• Easily scaled pipelines across cloud and on-prem systems, supporting business growth without major rework.

Fivetran

IBM FileNet Content Manager, Canva, IBM Cloud Object Storage

So in my organisation we majorly use IBM StreamSets to automate data flows between our CRM and analytics tools. Before it, we used to do it manually/ some other non effective tool and spend hours moving and cleaning data which was quite frustrating to be honest. Now we can set up pipelines that run quite smoothly and also keeps the reports accurate.

• Reduced manual handling, cutting down operational costs for our team.
• It also accelerated our time to Insight, which has eventually led to faster decision making.
• Data quality is improved.

Snowflake, IBM Planning Analytics

I mainly use IBM StreamSets to stream data from our on-prem systems to cloud applications and use them in real-time user applications to give them the latest information of various business reports that users create on different systems like client onboarding applications etc which then gets streamed to advisor applications where the advisor users create reports out of this available data and use it in their regular day to day work activities.

• With IBM StreamSets we are able to do realtime data integration from our data warehouse to various user facing applications in cloud without much overheads.
• Also, the low code pipeline design and reusable templates helps me create more pipelines at faster pace and make things prod ready in short time.
• One negative thing that I can say is the licensing cost. Initially when we started using we had very less data pipeline so our usage was very minimal during the POC stage. Later when we started creating pipelines, we started seeing the licensing cost go up huge. So this is the only negative thing I feel.

Informatica Cloud API & App Integration

Snowflake, Liquibase, Denodo

I used IBM StreamSets for data analysis. It is a brilliant tool for monitoring data for analysis and provide pie charts and graphs in an easily readable format which lets even a not so well trained but knows enough person it read it efficiently and accurately. The charts and graphs give thorough information about the data without missing any key points.

• Good for the Analysis and the product team to decide what to work on next. So, we have a better video watch time.
• What are the pages, sections of the websites that are less touched, so they can be changed or removed altogether to save company's money.
• What are the areas we need to improve on, on the basis of categories and sub-categories that are less watched.

Fivetran, AWS Glue and Informatica PowerCenter (legacy)

IBM API Connect, TemplateToaster, AWS Chatbot

the solution allows a live ingestion of data from different sources and create customized pipelines, monitor them and use them for many different scopes. data are real time and can have various format, are then integrated and collected into one unique layer from which are available for control and execution

• time saving for automatic collection and integration of data
• time saving thanks to live monitoring and reaction
• time saving for standardization of data

AWS Glue

DELMIA Apriso, FactoryTalk by Rockwell Automation, SAP Manufacturing Execution