StreamSets Data Collector
StreamSets | 3.22.3Linux/Unix, Amazon Linux Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)
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Review
What do you like best about the product?
The ease of development and it doesn’t have any windows OS level footprint.
What do you dislike about the product?
Metadata injection building transformation via template lot of python code a developer have to write down. Most of the ETL developers core and experienced one fear from python they know very well shell scripts due to Informatica and then most of the developers looks out. Try to build something from ui which inturn should generate a standard python code
What problems is the product solving and how is that benefiting you?
Lot of AI / ML . Like building transformations for the main build called for knowledge graph
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Good Streaming application with flexibility of use and set up
What do you like best about the product?
Easy setup , flexible product . Can work with variety of databases.
What do you dislike about the product?
Connection issues , at times data is captured during failure
What problems is the product solving and how is that benefiting you?
Using the toll as ETL job on regular basis
Recommendations to others considering the product:
Streamsets is highly customizable streaming application . However before selecting the application user needs to analyze data transfer requirement and mode of transfer (Batch or streaming). The data conversion nodes are good , but needs to be configured in proper way. Heavy processing or file conversion may slow down the process. Need to have enough memory to support requirement
Great product with a potential to become the best for Big Data
What do you like best about the product?
The sheer number of connections (origins, destinations, processors, etc) and additional things like webhook/notifications are among the best features offered by streamsets data collector.
What do you dislike about the product?
Too many frequent errors in some cases (like S3 destination) which are not internally retried seamlessly and ends up failing the pipeline. Due to this, a lot of manual intervention is required on a day to day basis
What problems is the product solving and how is that benefiting you?
Big data ETL is our primary problem to solve
Benefits - reasonable fast transfer, vast number of sources destination, prompt support etc
Benefits - reasonable fast transfer, vast number of sources destination, prompt support etc
Senior Data Architect
StreamSets DataOps Platform is an indispensable critical element of my overall data platform strategy in my organization. For instance, the Data Collector is the go-to Swiss Army knife for the ingestion and distribution of data in any enterprise. It is certainly mines!
Review
What do you like best about the product?
Good user interface, lots of capabilities, good documentation/help
What do you dislike about the product?
This is the only data collection tool I have used, so I don't have anything to compare this with. No complaints
What problems is the product solving and how is that benefiting you?
Pulling data from multiple different types of data sources that we were previously unable to connect to
Performance Management tool
What do you like best about the product?
Open source software for building batch and data stream flows.It measurers the data flow performance and data quality.
What do you dislike about the product?
User interface should be improved .Sometimes its very confusing to navigate with software
What problems is the product solving and how is that benefiting you?
It creates pipelines in minutes and design batch and steaming data with minimal coding and maximum flexibility.
Good Data Movement Software
What do you like best about the product?
It is drag and Drop software.Almost no coding is required to create the data flows with Streaming Sets.
It has intuitive interface and complete flow can be viewed.We can monitor the run time performance I like it very much.We can detect PII by pattern matching so that we can secure the data.This can be executed at enterprise scale.
It has intuitive interface and complete flow can be viewed.We can monitor the run time performance I like it very much.We can detect PII by pattern matching so that we can secure the data.This can be executed at enterprise scale.
What do you dislike about the product?
The application takes some time to load.Other wise its great software tool to be used for large scale applications.
What problems is the product solving and how is that benefiting you?
We are using Stream sets in our big data project.We are using it to move large data across.We are using it for real time data ingestion.The data is continuously streamed from external sources into our systems.This data we are using for analysis and DSS systems.
Recommendations to others considering the product:
I would recommend Stream Sets to others for Data Ingestion.Its great tool to be used .Very helpful.
Good Streaming Data Integration software
What do you like best about the product?
It provides visual UI for designing and deployment for the data flows. Also it is cloud based which is very helpful. Moreover creating data pipeline does not require coding which is very good.
What do you dislike about the product?
The application sometimes does not perform well. Sometime it takes time to load the software. Otherwise the tool is very good.
What problems is the product solving and how is that benefiting you?
We use it to injest and process data in hundreds of files. We use Data collector for it. Also we are using it with Hadoop system to process files.
Recommendations to others considering the product:
I would recommend the users to use Stream sets to process data specifically with large volume.
It is okay to use
What do you like best about the product?
I like the software. It’s fun to use and make my life easier
What do you dislike about the product?
The learning curve is steep and can be difficult for a newbie. Once learnt is great though.
What problems is the product solving and how is that benefiting you?
OST functionality scross our team has improved greatly.
StreamSets at Work
What do you like best about the product?
The way how data is used in the platform better than competitors
What do you dislike about the product?
The way the platform still has a few bugs
What problems is the product solving and how is that benefiting you?
Mass amounts of data
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