StreamSets Data Collector
StreamSets | 3.22.3Linux/Unix, Amazon Linux Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)
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StreamSets : Review
What do you like best about the product?
I love using streamsets because it helps in moving data and make necessary transformations to the data by using processors.
What do you dislike about the product?
As of now I haven't faced any issues for this.
What problems is the product solving and how is that benefiting you?
StreamSets helps me in transforming the data and move it from one place to another with ease.
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StreamSets make data pipelining seamless
What do you like best about the product?
The support for multi cloud makes it a wonderful choice for having data pipelining seamless. In a organisation where multiple cloud infras are used and these data pipeline needs to be shared, StreamSets makes it seamless.
What do you dislike about the product?
Didn't really find any so far, they are doing great job.
What problems is the product solving and how is that benefiting you?
Multi cloud shareing the data pipelining
Streamsets Review & ratings
What do you like best about the product?
Best things i liked of streamsets is pipeline creation using mulyiple options of data sources and destination storage options & also very easy of processsing & transformation of data.
What do you dislike about the product?
Need more options in streamsets for data transformation & availability/integration of streamsets products in other products like GCP.
What problems is the product solving and how is that benefiting you?
Streamsets helped in transformation of data in very easy and efficient way. Also reusibility of pipelines into other pipelines helps making quick data transformation.
Best Enterprise Grade Modern Data Integration Platform
What do you like best about the product?
Best UI/UX in terms of modern day ETL tools, it enhanced the working machenism thinking and good product support.
What do you dislike about the product?
Transformer still misses some basic functionality, and doesn't work well in Google cloud.
What problems is the product solving and how is that benefiting you?
Majorly for all Batch and Streaming Scenarios we are designing StreamSets pipelines, few best suited and tried out use cases below :
1. JDBC to ADLS data transfer based on source refresh frequency.
2. Kafka to GCS.
3. Kafka to Azure Event.
4. Hub HDFS to ADLS data transfer.
5. Schema generation to generate Avro.
The easy to design Canvas, Scheduling Jobs, Fragment creation and utilization, an inbuilt wide range of Stage availability makes it an even more favorable tool for me to design data engineering pipelines.
1. JDBC to ADLS data transfer based on source refresh frequency.
2. Kafka to GCS.
3. Kafka to Azure Event.
4. Hub HDFS to ADLS data transfer.
5. Schema generation to generate Avro.
The easy to design Canvas, Scheduling Jobs, Fragment creation and utilization, an inbuilt wide range of Stage availability makes it an even more favorable tool for me to design data engineering pipelines.
Easy interface for users
What do you like best about the product?
personally i liked the interface of the Streamsets
What do you dislike about the product?
some times faced endpoint issue in etl , no more dislikes about it
What problems is the product solving and how is that benefiting you?
access to data is very fast, low risk and costs.
Streamsets revolution in data integration
What do you like best about the product?
StreamSets makes designing and managing data pipelines easy-peasy. Its versatility and vast array of connectors simplify the process of handling different data sources. It's like having a smooth operator for your data flow.
What do you dislike about the product?
While StreamSets offers many benefits, some users find its learning curve a bit steep initially. Additionally, the complexity of certain configurations might be overwhelming for beginners.
What problems is the product solving and how is that benefiting you?
StreamSets simplifies data integration and real-time processing, boosting operational efficiency and enabling faster insights from data.
Very smooth experience
What do you like best about the product?
All in one place solution for ETL transformations of various kinds
What do you dislike about the product?
Ui can be made more sophisticated, detailing can be added
What problems is the product solving and how is that benefiting you?
We tried it out for one of our spark related batch job, it performed really well. User friendly and sharing options
My feedback on StreamSets
What do you like best about the product?
The GI makes it easy to design and implement data pipelines. It has an active community to which I could rely for support. Well suited for real-time data streaming scenarios making it suitable for frequent use.Offers a diverse set of features such as data drift handling, and monitoring tools.
What do you dislike about the product?
It can be resource-extensive, therefore careful consideration of infrastructure is required for handling high volumes of data. Issues with highly customized or specific integration requirements.
What problems is the product solving and how is that benefiting you?
It helps in data drift handling and real-time data streaming.
Advanced Cloud Data Pipeline
What do you like best about the product?
StreamSets provides management control and operational visibility in data overall project pipeline. StreamSets is fast , easy to use and allowing us to create integration real-time data pipelines. It is also suppting Hybrid-cloud.
What do you dislike about the product?
New version update needed for increase performance.Connectors are too frequently removed.
What problems is the product solving and how is that benefiting you?
Processing data and management control of all data.
Must Use ETL Tool.
What do you like best about the product?
It is best for it's ease of use in intregation, desining,deploying and operating data pipelines. I like It's ease of Implementation, frequent uses, features and customer support system.
What do you dislike about the product?
Sometimes I faced challange while dealing with very complex and customized data integration scenarios.
What problems is the product solving and how is that benefiting you?
Streamsets addressed the challanges associated with managing and integrating diverse data sources in real time. It helps me easy data integration, accurate real time processing and in maintaing data quality through ETL process.
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