Apache Hadoop vs. DbVisualizer

Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.

Incentivized

DbVis is our tool of choice when we need to work with a wide variety of Db vendors and versions. It allows us to replace several proprietary tools for accessing and, in part, managing database systems. It gives our customers and us a single base to work on databases. No need for us or them to install, learn, and pay for multiple solutions. If one would, for example, use ONLY one dbms, e.g., PostgreSQL, then DBVis could be a bit of an overkill.

• Handles large amounts of unstructured data well, for business level purposes
• Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here.
• Decent for large ETL pipelines and logging free-for-alls because of this, also.

Incentivized

• Out-of-the-box support for many different databases.
• Intuitive UI for interacting with data.
• Flexibility of SQL Commander for writing scripts.
• Great support for working with JSON data in recent updates.
• Database connections over SSH.
• Table relationship visualization is very helpful.
• The tree view is well organized in how it splits out schemas.

• Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates
• Not for small data sets
• Data security needs to be ramped up
• Failure in NameNode has no replication which takes a lot of time to recover

Incentivized

• Small, but noticeable: it would be nice to be able to highlight just one column of a data output for copy/paste by clicking on the column header (a feature some of us are accustomed to from SQL Server Management Studio)
• Is there an ability to bulk import an excel file to a table in a connected SQL Server in DbVis? If so, I haven't figured that out yet. I still largely use Microsoft SSMS to import data to our team's personal SQL Server, but can easily query that server via DbVis)
• (I really don't have any major complaints - our company has tried to steer users toward DBeaver for YEARS, which I cannot stand. DbVis knocks the beaver out of the water)

Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free

We never had problems with it. It is able to connect to all data sources (Oracle, Informix, DB2, SQL Server) that we currently use.

Incentivized

As Hadoop enterprise licensed version is quite fine tuned and easy to use makes it good choice for Hadoop administrators. It’s scalability and integration with Kerberos is good option for authentication and authorisation. installation can be improved. logging can be improved so that it become easier for debugging purposes. parallel processing of data is achieved easily.

Incentivized

I use this tool for several hours each day, spanning many years in various projects. It's wide support for various database types while keeping consistency within the UI for each is important when working with various databases day in and day out.

It's a great value for what you pay, and most Data Base Administrators (DBAs) can walk in and use it without substantial training. I tend to dabble on the analyst side, so querying the data I need feels like it can take forever, especially on higher traffic days like Monday.

Incentivized

Never used

Incentivized

Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.

Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.

Incentivized

[DbVisualizer] is pretty easy to use compared to IntelliJ because of it's simplicity. The performance is very good, it feels as good as a native application compared to the other two softwares I used for the same purpose. It's very cheaper compared to the other two tools and that's a big selling point.

Incentivized

• There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
• Hadoop is quite interesting due to its new and improved features plus innovative functions.

Incentivized

• Positive: Real time saver when working across multiple databases. At least 30-40 mins a day are saved
• Positive: Helpful for the 'quick DBA' tasks without switching to the native tools: approx 1-2 hours saved weekly
• Positive: Easy switch between environments / schemas / etc without hassle: saved at least an hour daily