Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.
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DbVisualizer
Score 9.6 out of 10
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DbVisualizer is a universal database client and SQL tool for developers, analysts, DBAs, data engineers, and anyone who works with data, from beginner developers and startups to professional teams managing complex database environments. It provides a graphical interface for exploring database structures, managing schemas and database objects, and running SQL queries across multiple database systems through JDBC drivers, including MySQL, PostgreSQL, SQL Server,…
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Pricing
Apache Hadoop
DbVisualizer
Editions & Modules
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DbVisualizer Free
$0
DbVisualizer Pro with Basic support - Renewal
$89
per year per user
DbVisualizer Pro with Premium support - Renewal
$119
per year per user
DbVisualizer Pro with Basic support
$199
per year per user
DbVisualizer Pro with Premium support
$229
per year per user
Offerings
Pricing Offerings
Hadoop
DbVisualizer
Free Trial
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Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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New license cost includes a perpetual license, software upgrades and support for the length of the term. 1, 2 & 3 year terms are offered. Once license expires the user may access all Pro versions released before the license expiry indefinitely. To gain access to Pro versions released after the license expired, license renewal is offered. Volume discounts apply to both new and renewal licenses.
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.
Seamlessly querying PostgreSQL/PostGIS, Oracle, SQL Server, and SQLite from one interface without switching tools. The intelligent autocomplete and schema browsing make it ideal for writing queries and understanding unfamiliar databases. Complex performance tuning, deep monitoring, and automated backup/recovery require specialized DBA tools. Performance degrades with tens or hundreds of thousands of rows; command-line tools or ETL solutions are better suited to bulk data processing.
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
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.
It does what we need it for, which is manipulate data, check connections, visualize database structures, check on user rights, or even just version checks on the used databases. The 'type to get to table name' feature is often irrational in behaviour, which leads to frustration. The start-up time could be much better, and the UI changes between versions are sometimes a hassle for us when buttons are suddenly moved or their appearance changes. We use a wide variety of DBVis versions on customer installations (which use the once-bought version), and differences in the look and feel between versions sometimes slow us down.
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.
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.
[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.
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.
