StreamSets Data Collector
StreamSets | 3.22.3Linux/Unix, Amazon Linux Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)
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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.
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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
New Game Changer
What do you like best about the product?
Its interface and easy essentials components
What do you dislike about the product?
Why it didn't come early in market place for use
What problems is the product solving and how is that benefiting you?
The easy load of huge data with optimazaation and efficiency
Best UI for Pipelines
What do you like best about the product?
I love the StreamSets UI and its interface. The components in StreamSets are very useful and very easy to use. You can esily implement a pipeline using the desired origin from the lits of various origins. You can use it on daily basis for your pipeline review. The customer support from the StreamSets side is very appreciated.
What do you dislike about the product?
There is nothing to say bad about it. Just sometimes the preview field lacks in previeing the high intensity data.
What problems is the product solving and how is that benefiting you?
Streamsets is very useful for the big pipelines and the ease of use of the origins, processors and the executors are well managed. It helps me to reduce my time to building complex pipelines very easily.
StreamSets for building data pipelines
What do you like best about the product?
StremSets User interface is very useful friendly. It provides drag and drop facility which simplifies building, designing and managing the data pipelines.
It also handles a very large amount of data since it is scalable.
We can use it for building both batch pipelines and streaming pipelines.
It also provides security features such as encryption, access controls, data masking etc.
The team also provides a very good customer support.
Since it has drag and drop functionality we can easily implement and integrate it with different sources and destination.
It also handles a very large amount of data since it is scalable.
We can use it for building both batch pipelines and streaming pipelines.
It also provides security features such as encryption, access controls, data masking etc.
The team also provides a very good customer support.
Since it has drag and drop functionality we can easily implement and integrate it with different sources and destination.
What do you dislike about the product?
As of now I don't have any dislikes about StreamSets since it is improving a lot.
What problems is the product solving and how is that benefiting you?
Buliding the data integrations involves complex coding but with StreamSets we can drap and drop the data movements. It provides a very good intuitive visual interface. It also provides many kind of error handling mechanisms which is must during the data integrations. It also provides the monitoring capabilities for the data pipelines. Helps a lot in faster decision making capacity.
StreamSets
What do you like best about the product?
StreamSets Data Collector Engine is an easy-to-use data pipeline engine for streaming, CDC, and batch ingestion from any source to any destination. You don't need to know any code to use this user-friendly interface. It is reasonably priced and capable of resolving any integration issues without interference, particularly with data integration.
What do you dislike about the product?
Dealing with extremely intricate and unique data integration circumstances occasionally presented challenges for me. There also needs to be more learning materials and assistance because the idea is somewhat unique.
What problems is the product solving and how is that benefiting you?
We frequently had to source data from various platforms using different tools. Streamsets enable connectivity from a single tool to multiple data endpoints.
Data Integration and Migration Tool
What do you like best about the product?
Cloud Data Lake, Warehouse Integration and for Agile Reporting.
Implementation and Features are very useful.
Implementation and Features are very useful.
What do you dislike about the product?
Customer support is good but it can be further optimized.
What problems is the product solving and how is that benefiting you?
Technology Partners for product integrations is seamless.
Review for StreamSets
What do you like best about the product?
There are various upsides of using StreamSets as Many users appreciate StreamSets for its user-friendly interface and intuitive design. The platform aims to simplify the process of designing and managing data pipelines. StreamSets is very useful in terms of Data Drift Handling, Scalability, Extensibility, Monitoring and Management, Community Support, Real-time Data Processing, Customer Support and in many more.
What do you dislike about the product?
THere are not such any significant downside of using StreamSets but there are a few features in which StreamSets is laking behind are as Documentation Quality, Limited Transformations, Community and Ecosystem Maturity, Resource Intensive.
What problems is the product solving and how is that benefiting you?
StreamSets solves the problem related to Real-time Data Processing as Traditional batch processing may not meet the requirements of applications that demand real-time data processing, StreamSets supports real-time data processing, enabling organizations to analyze and act upon data as it is generated. This is crucial for use cases requiring low-latency insights and decision-making. Along with this StreamSets also resolve problem related to Scalability as data volumes grow, scalability becomes a concern for traditional data integration solutions, StreamSets is designed to scale horizontally, accommodating large volumes of data and adapting to changing processing needs. This scalability ensures that the platform can handle increased data loads as organizations grow.
StreamSets data pipelines
What do you like best about the product?
StreamSets has lot of out of box features to use for data pipelines and connect AWS Kinesis, DB or Kafka and send to HDFS & Hive.
What do you dislike about the product?
Some of features like Aerospike connectors has deprecated and MapReduce has issues in control hub running in cluster out of Cloudera.
What problems is the product solving and how is that benefiting you?
Easy integration with big data tools and real time data ingestion.
Data transformation workflow in LCNC model
What do you like best about the product?
It is very easy with LCNC framework and every workflow creation is about drag and drop of the components. It's really reduce lot of developement efforts. Anyone can operate from Day1.
What do you dislike about the product?
SDC needs much more configurable parameters to maintain the buffer config etc. It's always must to have to tool tip on when needed and keep more guided at places in chosing the component
What problems is the product solving and how is that benefiting you?
Event framework and processing events in lightspeed is amazing and i would see streamset gives me a option to see my real time metrics gathered from multiple source got into visibility with lot of transformations.
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