Software Alternatives, Accelerators & Startups

StreamSets VS Spark Streaming

Compare StreamSets VS Spark Streaming and see what are their differences

StreamSets logo StreamSets

StreamSets provides Continuous Ingest technology for the next generation of big data applications.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • StreamSets Landing page
    Landing page //
    2023-09-13
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

StreamSets videos

What is StreamSets Transformer?

More videos:

  • Review - Making Apache Kafka Dead Easy With StreamSets | DZone.com Webinar
  • Review - Power Your Delta Lake with Streaming Transactional Changes - Rupal Shah (StreamSets)

Spark Streaming videos

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to StreamSets and Spark Streaming)
DevOps Tools
100 100%
0% 0
Stream Processing
0 0%
100% 100
Continuous Integration And Delivery
Data Management
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Spark Streaming should be more popular than StreamSets. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

StreamSets mentions (2)

  • Best way to automate JSON to CSV/Relational Tables at scale? Anyone have used Flexter?
    If you would like to take a look at https://streamsets.com/ the Data Collector product can handle this for you as well as dynamically generate the target tables. It has a number of functions to handle your JSON no matter the complexity. However, given the dynamic nature it may benefit to touch base so please feel free to chat or message me. Source: about 2 years ago
  • Data engineering in reality
    StreamSets offers a free tier and free option for training. You can build, run, and manage your pipelines in one place. Source: over 2 years ago

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing StreamSets and Spark Streaming, you can also consider the following products

Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Packer - Packer is an open-source software for creating identical machine images from a single source configuration.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.