Apache Spark Streaming vs. Striim

Apache Spark Streaming is a tool that we are using for almost a year and is excellent in managing batch processing. It is user-friendly. Using it, we can even process our massive data in fractions of seconds. Its pricing is its other plus point. Only its In-memory processing is its demerit as it occupies a large memory.

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Below samples are the well suited use cases; - Change data capture feature seamlessly works on popular RDMS. You can make enrichments on several data sources within the same Striim application. - You can install stand alone agents and start streaming log files to Striim servers. This is mainly useful for security operations or audit trail use cases.

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• It is amazing in solving complicated transformative logic.
• It is straightforward to program.
• It is a very quick tool.
• It processes large data within a fraction of seconds.

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• GoldenGate Trail reader which iss faster than Oracle CDC. It does not used logminer, hence there is no load on source Oracle database.
• Easy installation and upgrade in 5 minutes
• Support is very good. Fast and user friendly.

• There must be more documentation.
• It is a profoundly complex tool.
• Its in-memory processing consumes massive memory.

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Independently Invited by TrustRadius

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• License a bit expensive

Apache Spark Streaming stands above all the huge data transformative tools because of its speed of processing which was quite slow in Presto as it takes a lot of our time in the data processing. Spark, comfortably provides integration with Jupyter like notebook environment. and Spark's combination with Jupyter and Python results in enhancing the speed .

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Independently Invited by TrustRadius

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Faster, checkpointing better. CDC works well. The loading is faster. Easy upgrade and installation. Uses less resource.

• Cost and time-effective tool for our business.
• We can integrate with Jupyter with many conveniences.
• Its high-speed data processing has proved beneficial for us.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• We got the license at a discount price