Asana vs. Elasticsearch vs. Hive

The usability of Asana is broad since it's available in a variety of platforms that are widely used nowadays. I think that it would be great for people who are constantly on the move and switching devices, since it has allowed me to work from my phone, too. I also think that Asana has proven itself to handle a large quantity of work

Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly. Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly. Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it. Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.

Incentivized

Hive is a powerful tool for data analysis and management that is well-suited for a wide range of scenarios. Here are some specific examples of scenarios where Hive might be particularly well-suited: Data warehousing: Hive is often used as a data warehousing platform, allowing users to store and analyze large amounts of structured and semi-structured data. It is especially good at handling data that is too large to be stored and analyzed on a single machine, and supports a wide variety of data formats. Batch processing: Hive is designed for batch processing of large datasets, making it well-suited for tasks such as data ETL (extract, transform, load), data cleansing, and data aggregation.Simple queries on large datasets: Hive is optimized for simple queries on large datasets, making it a good choice for tasks such as data exploration and summary statistics. Data transformation: Hive allows users to perform data transformations and manipulations using custom scripts written in Java, Python, or other programming languages. This can be useful for tasks such as data cleansing, data aggregation, and data transformation. On the other hand, here are some specific examples of scenarios where Hive might be less appropriate: Real-time queries: Hive is a batch-oriented system, which means that it is designed to process large amounts of data in a batch mode rather than in real-time. While it is possible to use Hive for real-time queries, it may not be the most efficient choice for this type of workload. Complex queries: Hive is optimized for simple queries on large datasets, but may struggle with more complex queries or queries that require multiple joins or subqueries.Very large datasets: While Hive is designed to scale horizontally and can handle large amounts of data, it may not scale as well as some other tools for very large datasets or complex workloads.

Incentivized

• Through it, we were able to communicate and cooperate with the rest of the team to complete the work in the required manner and at the appropriate time.
• Available for free on Android and iPhone.
• Asana has a simple and easy user interface

• As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
• Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
• Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.

Incentivized

• Simplicity, it offers a clean environment without risking the outcome. An example of this are the timesheets that allow a fast way to keep track of progress
• Interaction, the different options make it faster and easier to interact and collaborate in the development of a product. An example of this would be Hive Notes for meetings
• The different visualisations it offers allow to explore the best ways to affront your projects. I really like the Gantt mappings view to understand who can be contacted at each point

Incentivized

• Asana is not really a project management tool, it is good for simple projects only
• UI has some glitches (doesn't save preferences, etc.)
• Integration with other tools (Office 365, MS Project)
• No reminders if the working period you entered is on holidays

Incentivized

• Joining data requires duplicate de-normalized documents that make parent child relationships. It is hard and requires a lot of synchronizations
• Tracking errors in the data in the logs can be hard, and sometimes recurring errors blow up the error logs
• Schema changes require complete reindexing of an index

Incentivized

• Organizing tasks by assignees could be better. It's a little cumbersome to check off each person you want. Can you group these?
• I don't really use any view besides task view. Is there something better I could be using?
• It would be nice if attachments showed up in a nicer format, maybe with a preview?

Incentivized

• Mobile + Desktop capabilities - Able to use it anywhere, anytime.
• Task management - Easy to view projects and their progress.
• Time management - Easy to see what elements require time / how they interrelate and manage the project on an overall basis.
• Company management - Be able to see from a master dashboard perspective where each project is in its stages of completion.
• Clear communication - It's visually documented who is doing what at what time so that the whole project gets done.

Incentivized

We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.

Incentivized

It is very user-friendly. Takes a new employee an hour to start figuring out how the system works. That's an important factor. You don't want to encounter the issue where employees need a week to understand how the system works. For example, JIRA, I tried using it for a week and I still don't understand the complicated layout. Asana has a simple interface. Once you see it, you get it type of program.

Incentivized

To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching. If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.

Incentivized

Its a easy tool, the best way to organize the workflow but has room for more improvements.

Working with Asana on a daily basis

I haven't had to use their support so I can't rate it. The fact that I haven't needed them reflects the ease of use of the product. I would recommend that any new users schedule a complete demo of the product to ensure that they are using it to it's fullest (there's a lot of useful features).

Incentivized

We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.

Incentivized

Our CSR is easily accessible and they have support built into the app itself. They also have a pretty robust support site. We also took advantage of the free trial and learned so much by putting Hive through the paces and figuring out the best way to mold it to our needs.

Incentivized

Do not mix data and master roles. Dedicate at least 3 nodes just for Master

Incentivized

Asana is a top-tier project management software that helps us organize and track projects from start to finish. It allows us to apply tasks/to-dos to multiple projects without duplication, divide complex projects into smaller tasks, and track project progress. It also helps us organize work on Kanban boards or linear lists. It stands out from the crowd in a big way compared to the competition.

As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.

Incentivized

Hive is a bit different than Jira and Monday, which I used mostly. Overall does a great job managing project and helps with team communication. Removes dependency of asking team members for updates by going to conference rooms. With Hive, the team updates the status, and we can easily track it.

Incentivized

I used this tool on a daily basis at work and it runs as a solid rock

• Productivity - Most of all, it allows me to be more productive and have a good sense of where I am with projects and deadlines.
• Easy to use - I can make the most of my time to get up (and stay) up and running.
• Project coordination - Allows me to assign tasks to my interns and communicate directly within the platform to keep the work train moving.

Incentivized

• We have had great luck with implementing Elasticsearch for our search and analytics use cases.
• While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
• We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.

Incentivized

• Workflow Management will help you better move your projects along which saves time and money.
• Time tracking will allow you to better manage the hours and keep your contractors accountable.
• Overall visibility of projects allow you to keep your margins down and combat "bleeding" and hidden costs or surprises.

Incentivized