Google Cloud Dataflow vs. Smarsh

It is best in cases where you have batch as well as streaming data. Also in some cases where you have batch data right now and in future you will get streaming data. In those cases Dataflow is very good. Also in cases where most of your infra is on GCP. It might not be good when you already are on AWS or Azure. And also you want in-depth control over security and management. Then you can directly use Apache beam over Dataflow.

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This appliance is well suited for organizations that have a need to monitor, moderate, or log social networking site use or the use of any website. It is a very solid tool for any information security department to have at their disposal.

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• Streaming, Real time work load
• Batch processing
• Auto scaling
• flexible pricing

• Discovery: It allows for easy discoveries by the compliance and cyber security departments.
• Ethical walls: This keeps certain departments from talking to each other.
• Very granular control. This is a big product meaning you can get very detailed with it.
• Once it's configured and running, we hardly ever have any issues.

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• More templates for Bigquery and App Engine. There is only limited options for templates so the things we use can limit.
• I would like native connectors for Excel (XLSX) to reduce the need for custom wrappers in financial pipelines.
• Debugging Google Cloud Dataflow using only logs in Cloud Logging can be overwhelming sometimes, and it’s not always obvious which specific element in the flow caused a failure. IT uses a lot of time.

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• Its configuration options were very large and required a good deal of time to learn all of the various settings.

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It's the only product at this time that meets all of our requirements.

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It really saved a lot of time and it's flexibility really can give you infra which is future-proof for most of the use cases may it be streaming or batch data. And with this you can avoid use of resource-heavy big data offerings.

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Google Cloud Dataproc Cloud Datafusion

This was the only appliance of its kind that I have used. Other devices have different capabilities for web filtering such as the checkpoint firewalls, but none of them offered the overall solution that was deployed with this product at that time.

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• cost saving from managing our own data center for ETL servers
• consumption based pricing
• with auto scaling feature, we were able to expand components to support work load

• Faster investigative work has led to increased employee efficiency when working on security investigations.

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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