1010data vs IBM Cloud Databases

• To "pool" their data for market analysis
• Very large data analysis
• Performance and scalability

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• The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
• The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.

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• The ten.do interface could use more detailed documentation

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• Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
• Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.

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• Positive impact on help business make a data-drive decision
• Positive impact on big data analysis
• Negative impact on user friendly

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• At the beginning, VERY positive. I didn't know Mongo very well when I started this project, and I needed to get a POC up very quickly. Compose let me basically ignore all database management.
• Compose basically kept up its end of the deal... until a few months ago when we started pushing the envelope. Latency problems and, despite digging deep into documentation, etc, unable to really understand if/how much our Compose instance was to blame. In the end it wasn't, but trial and error was about all I was able to do with Compose.
• Globally, Compose had a very good ROI, since it allowed me to offload DB admin at a moment when having to do it would have seriously slowed our progress.

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