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Ratings and Reviews 0 Ratings
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DbVisualizerDbVisualizer stands out as a highly favored database client globally. It is utilized by developers, analysts, and database administrators to enhance their SQL skills through contemporary tools designed for visualizing and managing databases, schemas, objects, and table data, while also enabling the automatic generation, writing, and optimization of queries. With comprehensive support for over 30 prominent databases, it also offers fundamental support for any database that can be accessed via a JDBC driver. Compatible with all major operating systems, DbVisualizer is accessible in both free and professional versions, catering to a wide range of user needs. This versatility makes it an essential tool for anyone looking to improve their database management efficiency.
Integrations Supported
Apache Spark
AWS Step Functions
Amazon S3
Apache Hive
Ataccama ONE
CopperEgg
Gurucul
IBM Databand
Immuta
Lyftrondata
Integrations Supported
Apache Spark
AWS Step Functions
Amazon S3
Apache Hive
Ataccama ONE
CopperEgg
Gurucul
IBM Databand
Immuta
Lyftrondata
API Availability
Has API
API Availability
Has API
Pricing Information
$5 per TB
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Company Location
United States
Company Website
cloud.google.com/biglake
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/emr/
Categories and Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates