Vad är DbVisualizer?
DbVisualizer är ett funktionsrikt och intuitivt multidatabasverktyg för utvecklare, analytiker och databasadministratörer som erbjuder ett enda kraftfullt gränssnitt över en mängd olika operativsystem. Tack vare det lättanvända och rena gränssnittet har DbVisualizer visat sig vara ett av de mest kostnadseffektiva databasverktygen som finns tillgängliga, värt att nämna är även att programvaran fungerar på alla större operativsystem och stöder alla större RDBMS som finns tillgängliga. Användarna behöver bara lära sig och behärska en applikation.
Vem använder DbVisualizer?
Utvecklare, databasadministratörer och analytiker på alla vertikala marknader.
Var kan DbVisualizer användas?
Mac (Desktop), Windows (Desktop), Linux (Desktop)
Om leverantören
- DbVis Software
- Grundades 2003
- Telefonsupport
- 24/7 (Live-support)
Tillgängliga länder
Afghanistan, Albanien, Algeriet, Amerikanska Jungfruöarna, Andorra och 193 andra
Språk
engelska
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Om leverantören
- DbVis Software
- Grundades 2003
- Telefonsupport
- 24/7 (Live-support)
Tillgängliga länder
Afghanistan, Albanien, Algeriet, Amerikanska Jungfruöarna, Andorra och 193 andra
Språk
engelska
DbVisualizer videor och bilder











Jämför DbVisualizer med liknande produkter
Funktioner i DbVisualizer
Recensioner av DbVisualizer
Genuine B.
Game changer!
Kommentarer: Mainly data collection from our standalone systems, to support advanced data analytics and reporting.
Fördelar:
DbVisualizer was a game changer for us when we were evaluating expensive products to do data collection. It provided as with cost effective options to collect large amount of data effortlessly.
Nackdelar:
None that I can think of. It worked great and met all our requirements.

Stephen B.
Övervägda alternativ:
DBVis for Analysts
Kommentarer: I've had a great experience using this product. We continue to use it, even after 4 years.
Fördelar:
I think the software is very easy to install and get going quickly. I helped choose the product for my team and picked it over many others, even the free ones! It works great for querying and updating data.
Nackdelar:
The free version is good but lacks a ton of power. You have to upgrade to the pro version to get most of the functionality that an analyst team needs.
Verifierad recensent
Fullt functional multi-platform database client
Kommentarer: Overall DbVisualizer has become a staple in my toolbox because I am able to access different platform databases without having to switch between the vendor-provided tools. It has many of the features that I need and would gain by using the other tools.
Fördelar:
The ability to connect to a database-independent of platform from a single tool is the biggest reason for my use of DbVisualizer. The tool provides a single tool that can query or inspect the database structure.
Nackdelar:
There is not much to dislike about the tool, but it would be nice to have the option to export to Excel. The export feature is something that I do use regularly and being able to get data into Excel for business users to consume would be helpful.
Paul M.
Best SQL Workbench tool that you'll find
Kommentarer: I do a lot of experimentation using DbVisualizer. It allows me to easily modify database schema, load new 'experimental' datasets, and then run queries against them. (Hence, if I had Python scripting in DbVisualizer, I could do everything in there and I would only ever use DbVisualizer).
Fördelar:
It's easy to connect to databases, easy to manage and query them, it's simply a fantastic tool for anyone who frequently interacts with databases. I use it in preference to the database vendor's own tools - I use one tool to rule them all :^).
Nackdelar:
I haven't come across any yet. But...if I had a wish list feature that I could add to DbVisualizer, it would be support for something like Python scripting within DbVisualizer itself. That would give me the perfect tool.
Marcos S.
Övervägda alternativ:
DbVisualizer Ease of Use
Kommentarer: It my opinion it’s an excellent product.
Fördelar:
The ability to reverse engineer the objects is most important.
Nackdelar:
I have not discovered anything yet. I use it for postgres.