Google Cloud Bigtable vs. Redis Cloud

It works great for any use case that requires high throughput for reads and writes, for key-value kinda data. This enables you to use it for usecases where you need to retain data for a long term or even short term but then use it in pipelines to enrich data, sync states between backend and frontend or to quickly lookup say a user.

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Redis Cloud is very well suited for scenarios where fast data access is required or somewhat unstructured data needs to be stored. For us, it has worked very well for user session storage. However, if you have large amounts of structured data that is not frequently accessed, Redis is not the solution and a traditional relational database is likely more appropriate.

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• Analytics: is at Google's heart. No on can beat Google in this space and BigTable is one of its implementation of this. The insights you gain from BigTable are simply usable in your day to day activities and can help you make real difference.
• Speed: Processing TBs and PBs of data under minutes needs real efficient platform which is capable of doing much more than just processing data. All this data cannot be processed by a single machine, but rather huge pairs of machines working in conjuction with each other. BigTable's implementation is one of the finest and allows you achieve great speeds!
• Interface: is great. Google has segregated required task under logically placed buttons which takes no time by users to understand and get habituated.

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• Ease of setup and deployment via Heroku
• Reliability and splicity
• Fair pricing

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• Global replication
• Complete SQL support
• Size limit of 1MB

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• The only area of improvement I have found is the documentation is sometimes lacking and could be a little more comprehensive.

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For big IT firms like us, data is very important and it only holds its value if it can make sense to us. Therefore, Bigtable's usability is priceless when it comes to decision making based on data.

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Google provides premium support services for BigTable which is absolutely blazing fast similar to Bigtable's performance.

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As a hosted solution, that can be managed easily from the Google cloud platform, it enables the teams to think about business use cases vs thinking about the management of the database itself. It is easily to scale it up when you need more throughput or storage. This keeps the developers and the product folks happy.

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I've used Heroku Redis and RedisToGo. Redis Cloud has the best free/developer plan, and we have never had an issue.

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• Building new features that can leverage storage on the edge
• Realtime decision making
• Data enrichment

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• Redis Cloud is very affordable and therefore the cost is negligible when compared to the benefits— immediate ROI with very little startup costs.

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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