Navicat Premium is a multi-connection database development and administration tool which can simultaneously connect 7 databases (MySQL, MariaDB, MongoDB, SQL Server, Oracle, PostgreSQL, and SQLite) from a single application. Compatible with cloud databases like Amazon RDS, Amazon Aurora, Amazon Redshift, Microsoft Azure, Oracle Cloud, Google Cloud, Alibaba Cloud, Tencent Cloud, MongoDB Atlas and Huawei Cloud, developerws can quickly and easily build, manage and maintain databases.
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Tableau Desktop
Score 8.3 out of 10
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Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
While Sequel Pro is a great shareware tool, it's limited to MySQL databases; while our department does use MySQL databases, we also use Oracle databases, so Navicat Premium's multi-product support is an absolute requirement. Navicat Premium also provides data browser support, …
Navicat Premium is a very well-rounded tool with a reasonable licensing fee given its feature set. It is primarily suited for technical resources who must work with a variety of different database systems, but who may not be database or command line tool wizards. However, its query building and job batch scheduling feature support end-users as they build competency, and it continues to hold its value even as users outgrow their training wheels. Navicat is probably not so appropriate for DBAs and others for whom database development and management is already a career path; these folks have their preferred toolsets, both vendor-supplied and homegrown, and they might consider the additional licensing cost to outweigh the value they'd personally get out of Navicat.
Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
Navicat Premium's documentation can be hit-or-miss, as there are several versions available, and it's not always clear which documentation is current for the version at hand.
Navicat Premium's query building interface is not as easy to use or feature-rich as standard IDE and text editor tools, and I've had some issues in the most recent release build with queries auto-running in the middle of making edits, causing a lack of responsiveness in the inbuilt editor -- however, Navicat offers users the ability to edit queries via an external editor, which mitigates these issues to some degree.
In the data browser view, paged data navigation sometimes behaves unexpectedly or fails to work whatsoever, requiring a session restart to correct.
The process of saving a data export file is cumbersome, requiring navigation through several windows, and I believe it could be significantly streamlined to improve user experience.
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
Very robust online community and well as excellent support staff. Easy to follow video tutorials. Detailed sample configurations are provided with guided walk-throughs via remote classroom instruction. Very fast response from support staff. No internal hires were necessary for support as vendor support staff fully met all technical expertise. 24/7 incident reporting and tracking is great.
I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
While Sequel Pro is a great shareware tool, it's limited to MySQL databases; while our department does use MySQL databases, we also use Oracle databases, so Navicat Premium's multi-product support is an absolute requirement. Navicat Premium also provides data browser support, including filtering, to empower less technically-minded users to query and manipulate databases, an option not available in Sequel Pro. And the job scheduling and batching features of Navicat Premium further distinguish it above the admirable, if limited, Sequel Pro.
If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.
