StreamSets Data Collector
StreamSets | 3.22.3Linux/Unix, Amazon Linux Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)
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Good integration tool
What do you like best about the product?
Streamsets is a good and lightweight integration tool with good ease of integration. It's fast and reliable. It has a decent library of connectors which are easy to use. I have been using streamsets for a year now and recently switched to data bricks. Customer support turnaround is decent. Ease of implementation is not that good as the learning curve is high without a good resource to study from
What do you dislike about the product?
lack of documentation and community support
What problems is the product solving and how is that benefiting you?
Stream sets have a good amount of pre-built connectors which accelerates the speed of data ingestion
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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.
Real time data process
What do you like best about the product?
StreamSets help to process data in real-time with drag and drop option .Minimum code change is required
What do you dislike about the product?
Should know all the menus. Issue with complex logic
What problems is the product solving and how is that benefiting you?
Solve complex data processing code
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
A good ETL tool for real time data streaming
What do you like best about the product?
It's very easy to build pipelines. Just drag and drop components and the coding can we done within the components. We can use a wide range of tech and languages to get our data transformation done. We can also connect to different DBs. Also modifying the pipelines and deploying it is very easy.
What do you dislike about the product?
Probably if we make a change to any jar components in the spark evaluator or add any component to the files in StreamSets , we need to restart the server.
What problems is the product solving and how is that benefiting you?
Building real time for a lot of attendance events, doing data transformation instantly and loading to DBs.
Good
What do you like best about the product?
Seemless integration with all the cloud and onprem apps
What do you dislike about the product?
Does not have inbuilt strong encryption.
What problems is the product solving and how is that benefiting you?
Develop pipelines on fly for our product
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.
Great data pipeline solution
What do you like best about the product?
The best I like about Streamsets is it's scalability . That it can scale horizontally and vertically making it easily usable.
What do you dislike about the product?
According to me, the procing model can be modified.
What problems is the product solving and how is that benefiting you?
The main problem Streamsets is solving is managing different data sources and formats. I benefit as a user from it is that it improves efficiency for operations.
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.
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