Dexi.io with Mozenda vs. IBM DataStage

The Mozenda platform is well suited to some specific scenarios that may work well for your organization. It is especially helpful for basic scraping of information from simple websites. If the information you need to obtain is clearly stated on a website, then Mozenda is a simple solution to capture that data quickly and easily.

Incentivized

Excellent Cloud data mapping tool and easy creating multiple project data analytics in real-time and the report distribution are excellent via this IBM product. Easy tool to provide data visualization and the integration is effective and helpful to migrating huge amounts of data across other platforms and different websites insights gathering.

Incentivized

• Action Items. Mozenda is broken down into a series of actions that can be performed on a page. Some actions take you to other pages. The action list, while short, provides a comprehensive set of tools for scraping just about any website (I haven't met one where it didn't work yet).
• Error Handling. I've used some scraping tools that have virtually no error handling. Mozenda has great error handling; the software almost always pinpoints the exact action where the agent failed and why.
• Speed. Mozenda is very fast at obtaining results. Other "bot" software can be slow and cumbersome but Mozenda plows through pages rapidly and accurately aggregates information.
• XPath compatibility. One of the most powerful features of Mozenda is the integrated ability to use XPaths to get at the exact bits of information we're after on a particular website. Access to visible information is only limited by imagination.

• Data movement
• Seamless integration of scripts and etl jobs
• Descriptive logging
• Ability to work with myriad of data assets
• Direct integration for Governance catalog

Incentivized

• The user interface for managing agents can be improved
• When websites change, the agents could be better at dynamically updating
• The "credit" usage can be confusing

Incentivized

• Connector Stages to Snowflake on the cloud. We had some issues initially but since then had been corrected.
• Accessing tool from a browser (zero foot-print). Currently we need to either install locally or connect to a server to do ETL work.
• Diversify ways of authenticating users.

Incentivized

Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.

Incentivized

It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.

Incentivized

I believe that IBM generally has one of the worst and most complex assistance systems (physical and online) that exists.

Incentivized

I'm only personally experienced with UBot Studio and Scrapy. UBot Studio isn't a bad application, though it has quite a large number of bugs when compared to Mozenda. UBot touts itself as low-code, but requires a significant understanding of programming logic to use the program effectively. Using UBot, we were able to get virtually all the results we wanted, but at a much higher labor cost than Mozenda. During initial implementation of UBot, it took me a full week to develop a particularly complicated agent. Using Mozenda, I was able to recreate the same agent in 4 hours. The ROI has been remarkable, and Mozenda really is a low-code platform.

It's obvious since they both are from the same vendors and it makes it easier and can get better rates for licensing. Also, sales rapes are very helpful in case of escalations and critical issues.

Incentivized

• Stay relevant in the market
• Ensure product placement against competitors
• Dramatically enhance profitability

Incentivized

• Reduce development time by 65% compared with hand coding.
• Reduces ETL process maintenance times.
• Better data governance for technical and non-technical people.
• Improve time to market for initiatives that require data integration.

Incentivized