Google Cloud Dataflow vs. Scality ARTESCA

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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The team in charge of implementing Scality has to be full stack in order to guarantee the correct functioning of the entire system. However, you have to think very carefully about the balance between servers and disks, perhaps adopting smaller fully populated servers instead of large semi-populated servers, which would mean that over time our disk updates will not have a fully useful life.

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

• I love the redundancy of the software.

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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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• The overall packaging is not very good. I think it could be more efficient for installation.
• There are many components in storage servers. This can generally be complex to understand, you have to be patient.

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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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As an organization, it took us a while to understand the shift from a traditional black box SAN to software-defined storage, but now we are much more certain of what this means. The time invested and the resources were not very high, thanks on the one hand to the technical support and on the other to the coherence and good development of the platform.

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I have seen Scality in the office meeting with our VP and get the feeling that they are here to support us.

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Google Cloud Dataproc Cloud Datafusion

Due to the nature of our business we require extensive encryption and availability for sensitive customer data. The erasure encoding that Scality provides gives us the assurance that documents are rest are never in a state of being downloaded or available to a casual data thief. This is something that can be found with other vendors but at a fraction of the same cost. Having this kind of performance, availability and redundancy at the cost that Scality provides has made a large difference to our organization.

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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

• Keeping sensitive customer data secure is a must for our organization and Scality has great features to make this happen.
• We replaced a single SAN with a Scality ring and found performance to improve as we store more and more customer data.
• Being able to lose various portions of our Scality ring and allow it to continue to service customers while maintaining high performance has been key to our business.

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