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.
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
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
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
Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
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
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Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.
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Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.