Azure Database vs. IBM Cloudant vs. Docical

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

Our organization found Cloudant most suitable if One, a fixed pricing structure would make the most sense, for example in a situation where the project Cloudant is being used in makes its revenue in procurement or fixed retainer — thus the predictability of costs is paramount; Two, where you need to frequently edit the data and/or share access to the query engine to non-engineers — this is where the GUI shines.

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

• For us, performance and scalability is the key, and Cloudant DB backed by CouchDB is scalable and performant.
• IBM Cloudant dB is very easy to provision for sandbox, development, QA as well as production.
• Support for Java for CouchDB app server analytics enables a greater control for over developers.
• Schema free oriented very easy to program and build applications on it.
• We love it!!

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

• It was only after we went with the cloud-based solution that IBM rolled out an on-premise version.
• We found that a 3rd-party ODBC driver was required for a few applications that needed to pull data out of Cloudant.
• The sales process was difficult because the salesperson we used was not as versed on Cloudant as I had hoped.

Incentivized

the flexibility of NoSQL allow us to modify and upgrade our apps very fast and in a convenient way. Having the solution hosted by IBM is also giving us the chance to focus on features and the improvement of our apps. It's one thing less to be worried about

Incentivized

It's mostly just a straight forward API to a data store. I knock one off for the full text search thing, but I don't need it much anyways. Also, the dashboard UI they give is pretty nice to use. It provides syntax-highlighting for writing views and queries are easy to test. I wish other DBs had a UI like this.

Incentivized

it is a highly available solution in the IBM cloud portfolio and hence we have never had any issues with the data base being available - we also do continuous replication to be on the safer side just in case some thing goes awry. We also perform twice a year disaster recovery tests.

Incentivized

very easy to get started and is very developer friendly given that it uses couchDB analytics. It is a cloud based solution and hence there is no hardware investment in a server and staging the server to get started and the associated delays/bureaucracy involved to get started. Good documentation is also available.

Incentivized

Very happy by the commitment given by the team which has been really good over the last 7 years of usage.

Incentivized

online resources are good enough to understand but there is nothing like testing. In our case, we discovered some not documented behavior that we take in count now. Also, the experience in NodeJs is critical. Also, take in count that most of the "good practices" with cloudant are not in online courses but in blogs and pages from independent developers

Incentivized

• Test the architecture on CouchDB helped us to address initial design flaws.
• The migration to Cloudant as such was very painless.
• We have migrate our replication system to Cloudant Android Sync for mobile devices.
• We have regular informal contact with the Cloudant leadership to discuss our use cases and implementation strategies.

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

The feature-set, including security, is very comparable. Overall, IBM's services added to the product are mature and stable, although product support and engineers could be a little better. Global availability is improving, and Disaster Recover Capabilities are great. Overall, it's very comparable to MongoDB as a DBaaS offer, available globally and with great documentation.

Incentivized

The service scales incredibly well. As you would expect from CloudDB and IBM combination. The only reason I wouldn't score it a 10 is the fact that document trees can get nested and nested very quickly if you are attempting to do very complex datasets. Which makes your code that much more complex to deal. Its very possible we could find a solution to this problem with better database planning to begin with, but one of the reasons we chose a service over a self-hosted solution was so we could set it up quick and forget about it. So we weren't going to dedicate a team to architecture optimization.

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

• IBM Cloudant is very secure and we never have to worry about losing data/unauthorized access
• It is one of the best data backup system and works well
• Global availability means it is easy to connect to the nearest data center and this reduces load time which is great.