DbVisualizer is a feature rich, intuitive multi-database tool for developers, analysts and database administrators, providing a single powerful interface across a wide variety of operating systems. With its easy-to-use and clean interface, DbVisualizer has proven to be one of the most cost effective database tools available, yet to mention that it runs on all major operating systems and supports all major RDBMS that are available. Users only need to learn and master one application. DbVisualizer integrates transparently with the operating system being used.
DbVis Software offers only one product and tries to make it the best possible without offering a vast variety of versions/editions of the same software (many times with reduced set of features as You will see with some of the competitors offers ) and without any additional set of tools to complete the package.
Sometimes less is more and doing one thing and doing it right even if not “absolutely perfect” while being much more affordable to its customers is a Win-Win in my opinion.
Installation and Support Documentation
( Knowledge base, Users Guide)
DbVisualizer is a multi platform tool ( based on Java) able to run on nearly any platform ( Windows , Macintosh , Linux , UNIX ) which makes it platform agnostic in this sense.
Another good thing is that there is only ONE version/installer for both Free and Pro (paid) versions. Pro features are enabled via a license key from within the application itself.
It has an extensive Users Guide ( 430 some pages) kept up to date with each release / new version which is available as an online version which is a browsable HTML and a PDF compiled version for those who prefer a more book / admin manual kind of experience ( I am one of those people)
The above is reinforced with an active Community Forum and an extensive Knowledge Base.
While many other companies also offer similar tools to DbVis Software’s DbVisualizer Pro from Navicat to Quest to DbForge more often than not the competitive offers from the mentioned companies might not be the best choice for everyone (price or missing features between editions/software sets)
- Instead of a single version of the tool/solution which does it all for MySQL, SQL,Oracle, etc. what many of the competitors do instead is creating separate tools for separate segments of the market/customers with the aim to reduce cost/price for the customer while offering a limited feature set of the core application.
the above is mostly true for DbForge and less to Navicat
DbForge does not offer to my knowledge a single application which does it all ( work with all databases instead of having to purchase for SQL, MySQL, Oracle, etc.)
(( I tried to find a single application which is the most similar to Navicat 15 Premium and DbVis Software’s DbVisualizer Pro but I could not figure it out on DbForge’s website myself … ))
Navicat in the other hand offers its Premium version which in my opinion is the best equivalent of DbVis Software’s DbVisualizer Pro however for a much higher price.
- The competitors many times offer a lot of additional tools for customers working with Databases both from Navicat and DbForge ( Comparison tools, Dummy Data Creators, Data Compare, Query Builder, Navicat Monitor and Data Modeler) again as a separate product for a separate price instead of baking it all into one unified single application which does all what it can/possible. They do bundle them into packs to offer even more discount on them most of the time.
I guess it is just another type of business model.
Sometimes certain vendors like Quest only focuses on one set of Databases (SQL,Oracle) Vs trying to provide tools for all available out there ( from Quest: Toad for Oracle , Toad for SQL Server, SQL Navigator (for Oracle 12c) )
If You need those extra bits You need to pay for them as they are not in the core utilities provided.
Many times customers need those extra tools apart from the core utility and they are willing to pay for it.
I leave the links to both Navicat 15 Premium‘s feature set here together with DbVis Software’s DbVisualizer Pro feature set here for you to compare them both and decide which one fits best for your use case / scenario.
Connect to all major databases with a smart and powerful database tool built for efficiency. Improve your productivity and decrease time to learn by using one single tool for all your databases and OSes.
Multi-database and cross-platform Database Management Tool
- Work with multiple database brands and perform many development and administration tasks from a single tool
- Easily explore your databases
- Automatic graphs of primary/foreign-key constraints
Visually create and manage the database
- Construct and manage database objects with ease
- Multiple object action executions
- Create, Compile and Run functions and procedures
- Object scripting
- Visually compare table and result set data
- Powerful data editing
Write and execute SQL scripts
- SQL IDE with syntax highlighting
- Auto completion
- Parameterized SQL execution
- Chart any result set in nice diagrams
- Tune your queries with integrated explain plans
- Query builder using drag and drop, no manual SQL required
- Visually compare SQL scripts
Data and database transfer
- Export table data in CSV, SQL, HTML, XML,Excel, JSON, Text
- Export multiple objects in the database including table data or all objects for a specific type
- Import table data from CSV files into existing table or create table from import data
- Tasks are executed in background allowing for parallel operations
- Auto save of the workspace
- Resume where you left off with editors preserved between sessions
- Flexible workspace based on a tabbed interface supporting customized layout that is saved between sessions
- Tag DB objects and SQL script files as favorites for instant loads
- A dark theme (Darcula)
Where to Start with Relational Databases and SQL
You can start your journey into the world of Relational Databases and SQL by signing up to an online course ( free or paid) from the many courses out there from the likes of Udemy to LinkedIn Learning or CBT Nuggets this would be the first piece ( knowledge )
( left some links on the bottom of this page) ( They have a lot on the topics of the SQL language and working with Relational Databases to get you started even on the Cloud with Microsoft Azure and Amazon )
Perhaps picking up some literature from Pearsons Introduction to SQL: Mastering the Relational Database Language, 4th edition works best for those who prefer old school books (ebooks) compared to video courses / online training platforms
— For me to see it happen on the screen while explained by an instructor is way better and easier to grasp than reading raw words on a piece of paper but YMMV —
The second piece You require to start with SQL and Relational Databases apart from acquiring (knowledge) would be some tools to work with practicing your newfound skills and abilities.
You could start by downloading DbVisualizer either the Free limited functionality version or evaluate the Pro version for 21 days in a non-commercial scenario from here.
You can compare the Free Vs Pro edition on this link here.
You could also set up SQLite on Your computer and connect it with DbVisualizer to start practicing immediately.
There is a great article written by Scott A. Adams explaining just how to do that uat this link
Scott also did a great webinar regarding DbVisualizer which worth to look at (see below)
Taking it one step further – a career in Data Science Boost it with a Bootcamp
There is a lot of Data Science related bootcamps out there if You want to take your journey even further after gaining some knowledge ( can also do a bootcamp from zero no problem ) and experience with the tool DbVisualizer and try to get into the profession of a Data Scientist for a living.
What kind of jobs? What job can I do with these skills / skill sets?
(( If You combine database and database languages skills/knowledge with Mathematics and a high level programming language like Python or R You can work in many different Data Science related fields as You will learn below ))
Key Responsibilities of a Data Analyst
The answer to the question “What does a data analyst do?” will vary depending on the type of organization and the extent to which a business has adopted data-driven decision-making practices. Generally speaking, though, the responsibilities of a data analyst typically include the following:
- Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.
- Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
- Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
- Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
- Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
- Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
- Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.
Most Valuable Skills for Data Analysts
Effective data analysts possess a combination of technical skills and leadership skills.
Technical skills include knowledge of database languages such as SQL, R, or Python; spreadsheet tools such as Microsoft Excel or Google Sheets; and data visualization software such as Tableau or Qlik. Mathematical and statistical skills are also valuable to help gather, measure, organize, and analyze data.
Leadership skills prepare a data analyst to complete decision-making and problem-solving tasks. These abilities allow analysts to think strategically about the information that will help stakeholders make data-driven business decisions and to communicate the value of this information effectively. For example, project managers rely on data analysts to track the most important metrics for their projects, to diagnose problems that may be occurring, and to predict how different courses of action could address a problem.
Data Analysis vs. Data Science vs. Business Analysis
The difference in what a data analyst does as compared to a business analyst or a data scientist comes down to how the three roles use data.
- The data analyst serves as a gatekeeper for an organization’s data so stakeholders can understand data and use it to make strategic business decisions. It is a technical role that requires an undergraduate degree or master’s degree in analytics, computer modeling, science, or math.
- The business analyst serves in a strategic role focused on using the information that a data analyst uncovers to identify problems and propose solutions. These analysts typically earn a degree in a major such as business administration, economics, or finance.
- The data scientist takes the data visualizations created by data analysts a step further, sifting through the data to identify weaknesses, trends, or opportunities for an organization. This role also requires a background in math or computer science, along with some study or insight into human behavior to help make informed predictions.
At startups and other small organizations, it is not uncommon for a data analyst to take on some of the predictive modeling or decision-making responsibilities that may otherwise be assigned to a data scientist.
Many courses – nanodegrees (paid) and non-nanodegree (free) courses from udacity
Intro to Data Science (free)
Intro to Data Analyst (free)
Intro to Relational Databases (free)
Data Analyst Nanodegree Program
Programming for Data Science with Python Program
Become a Data Scientist Nanodegree
the author’s work on this article was supported by DbVisualizer. The author is responsible for the content produced, including any errors or omissions.