Azure Database vs. Google Cloud BigTable

Azure Databases is suitable in situations where users require a cloud space, which holds or takes secure data and makes accessibility easy. More so, Azure Databases supports data migration, which is a professional process of data transfer. The analytical progress from Azure Databases is connected to AI power and has automated reporting.

Incentivized

Google Bigtable is ONLY suited for massive data sets which scale PetaBytes and TerraBytes. Anything under this can easily be done via dedicated VMs and open source tools. Google Bigtable is expensive and shall be used wisely. It should be utilised only where it is well suited else you would simply be wasting dollars and not utilizing its full benefits.

Incentivized

• Azure Databases is functional on cloud, giving the users flexibility and accessibility.
• Azure Databases has a high storage space, and high speed processing power.
• The tool is AI powered, hence, reputable for intelligent analysis.

Incentivized

• 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.

Incentivized

• Should develop a friendly and more intuitive dashboard and UI wizard
• Create smart package for fair ratings/prices.
• Improve on documentation and perfect the support response.

Incentivized

• User interface's responsiveness: I understand so much is going on under the hood, but laggyness is acceptable if a workload is running or being processed. In case their is not workload being process, GUI should work blazing fast. I have faced this at times, and this becomes frustrating as well.
• Nothing other than this - BigTable is quite efficient platform and does exactly what it is built for.

Incentivized

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.

Incentivized

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

Incentivized

Azure Databases has the data migrating power, which is done with just a press of a button and instant results are attained. Azure Databases has the optimization of performance, which includes an AI, which is intelligent based. Azure Databases has the recent or advanced SQL power, which is easily configurable and allows a safe cloud storage.

Incentivized

• Database security is a positive ROI for users.
• Undisputed cloud space, which control access, and smoothly accessible.
• Automated backup, which fully declassify or eliminate data loss.

Incentivized

• Positive return on investment.

Incentivized