Apache Spark vs. Zoho Projects

Well suited: To most of the local run of datasets and non-prod systems - scalability is not a problem at all. Including data from multiple types of data sources is an added advantage. MLlib is a decently nice built-in library that can be used for most of the ML tasks. Less appropriate: We had to work on a RecSys where the music dataset that we used was around 300+Gb in size. We faced memory-based issues. Few times we also got memory errors. Also the MLlib library does not have support for advanced analytics and deep-learning frameworks support. Understanding the internals of the working of Apache Spark for beginners is highly not possible.

Incentivized

My work involves projects of 5-15 people with numerous projects running simultaneously. Prior to Zoho, I did not have a central location from which to view all project statuses at once. Zoho looks to provide this and also looks like it will deliver. I am anxious to see how our organization's use of it develops. At this time, I feel I am likely to recommend Zoho Projects because my organization has made great software decisions in the past so I have a level of trust already that the research has been done that Zoho is the best solution for our line of work.

Incentivized

• Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
• Faster in execution times compare to Hadoop and PIG Latin
• Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
• Interoperability between SQL and Scala / Python style of munging data

Incentivized

• We use it to manage our sales orders as there are lots of moving parts which are necessary to get client orders done properly.
• I use it anytime I have a new idea I want to put into motion. As I can create a list for brainstorming, feedback, specific actions necessary in order to test and or implement the idea.
• Unrelated to business, it's a great way to plan travel in order to make sure you don't forget those important things like passport, flight arrangement, client meeting confirmation, and meeting prep as far as what specific documents or things do you need to bring with you.
• And since everyone is on the go and expected to keep up with work, the mobile/tablet app makes it a breeze to keep up, work on, and create new projects.

Incentivized

• Memory management. Very weak on that.
• PySpark not as robust as scala with spark.
• spark master HA is needed. Not as HA as it should be.
• Locality should not be a necessity, but does help improvement. But would prefer no locality

Incentivized

• There is no ability to add custom fields in the "Bugs" module - for example, if we want to add fields such as Version Number.
• Reporting is not integrated - its a fairly expensive add-on.
• There is no easy way to track actual and completed dates for tasks - so historical variance analysis is not easy.

Capacity of computing data in cluster and fast speed.

I've reviewed about 8 other project management solutions and Zoho Projects is the best I've seen without being overly complicated. Zoho Projects keeps getting better! Recent new enhancements makes it even easier to navigate. There are new keyboard shortcuts that cut my time way down. The tools are very easy to use.

If the team looking to use Apache Spark is not used to debug and tweak settings for jobs to ensure maximum optimizations, it can be frustrating. However, the documentation and the support of the community on the internet can help resolve most issues. Moreover, it is highly configurable and it integrates with different tools (eg: it can be used by dbt core), which increase the scenarios where it can be used

Incentivized

Zoho Project has been very user-friendly. As a small business, we have a diverse group of people with varying skill sets. This platform has been easy for our team to learn, implement, and succeed with. The mobile version is also very handy for our team.

Has not been down to my knowledge.

Speed meets my expectations.

1. It integrates very well with scala or python. 2. It's very easy to understand SQL interoperability. 3. Apache is way faster than the other competitive technologies. 4. The support from the Apache community is very huge for Spark. 5. Execution times are faster as compared to others. 6. There are a large number of forums available for Apache Spark. 7. The code availability for Apache Spark is simpler and easy to gain access to. 8. Many organizations use Apache Spark, so many solutions are available for existing applications.

Although it might lack intuitiveness, once you get a hang of how Zoho Projects works, you can do a LOT. The impact good project management has on profitability is huge, and it has helped not only improve communication and coordination when working on a project, but more importantly have adequate tracking of time, due dates and potential bottle necks

Incentivized

Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.

Incentivized

Zoho Projects provides a more limited set of functionality and customization options than other task/bug trackers on the market, but what it lacks in functionality it makes up for in ease of use. It probably has 80-90% of the features of its competitors but takes about a third of the time to get up and running and realizing value.

Incentivized

• Business leaders are able to take data driven decisions
• Business users are able access to data in near real time now . Before using spark, they had to wait for at least 24 hours for data to be available
• Business is able come up with new product ideas

Incentivized

• We needed a system to organize our growing business, so anything was better than what we had, which was nothing.
• Recording time spend is a huge reason for using project software. It has made me aware of the tasks that are taking too long and where we are not being profitable as a company.
• It has kept our team accountable for what needs to get completed and when projects are not in motion or completed timely. It's helpful to know in order to get billing out faster.

Incentivized