Amazon CloudSearch vs. IBM Watson Content Analytics

Amazon Cloudsearch can be suitable for some queries that require fast data. For example, in our case, we used CloudSearch, in a tool called Global Search. That will search everything like names, emails and a lot of stuff in our application. If you want fast data and you have a simple query, Global Search isn't appropriate for you.

Incentivized

If one is looking for a content crawling search engine (think "Google" but on your own private system), IBM Watson does a great job. It is also very good for locating duplicate files/folders and lost items. If document organization and searching is the goal, IBM Watson hits the nail on the head.

Incentivized

• Really fast queries
• Good Reporting
• Reduce the cost of the server

Incentivized

• Easy Interface - Drag and click based UI.
• Good amount of tools for visualization.
• Less amount of time taken to perform analysis.

Incentivized

• Can take some time to implement
• The initial configuration can be tricky
• Takes some time to update the values

Incentivized

• The software is semi-limited to indexing and searching.
• Software does not force a specific "structure" as some document management systems do.

Incentivized

I didn't investigate the best alternatives to CloudSearch, but did help with implementing this feature in our application. But from what i tested and used - Cloudsearch is very fast to get queries. Some negative points can be the time to implement this and some configurations that can be tricky.

Incentivized

IBM Watson is not quite in the same category as Worldox or NetDocuments as both are full-fledged document management. However, both vendors provide a similar searching and indexing product. Worldox provides searching and indexing but the Indexer is somewhat prone to issues. IBM Watson does not have the stability/consistency issues. NetDocuments is cloud-hosted document management and its index does not seem to have issues. That being said, there is a large premium as the data is all stored in a cloud container with the management system.

Incentivized

• Positive Point - Reduced the server load
• Negative point - Not suitable for all queries
• Negative Point - Time to implement this feature

Incentivized

• It has provided a positive work environment.
• Since its easy and understandable good amount of team communication improved.

Incentivized