Excellent Utility Environment Across Multiple Data Sources
I work as a data scientist, marshalling and summarizing data for model-making and analytics to be run against it. I use Toad as a …
Starting at $365
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What is Toad Data Point?
Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides data connectivity and desktop data integration, and with the Workbook interface for business users, it provides simple-to-use visual query building and workflow…
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Pricing
Base Edition
$365
Cloud
Pro Edition
$528
Cloud
Entry-level set up fee?
- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
Toad Data Point base edition demo
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Toad Data Point Professional with analytics edition demo
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Toad Data Point Professional edition demo
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How to Install Toad Data Point SQL Software | Toad Data Point SQL Installation By H2K Infosys
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Toad Data Point Import/Export Wizards
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Toad Data Point Export Wizard
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Product Details
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What is Toad Data Point?
Toad Data Point Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
Frequently Asked Questions
Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides data connectivity and desktop data integration, and with the Workbook interface for business users, it provides simple-to-use visual query building and workflow automation.
Reviewers rate Data Sources highest, with a score of 9.8.
The most common users of Toad Data Point are from Enterprises (1,001+ employees).
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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Toad Data Point has proven to be a valuable tool for analyzing data from multiple data stores, including Sales Force Automation, OBIEE, and other big applications. Users appreciate its versatility in supporting connectivity to almost 50 different databases, Microsoft Office products, and ODBC compliant data stores. This makes it an excellent choice for working with various data sources.
One of the key use cases of Toad Data Point is extracting data from enterprise data warehouses using SQL. This enables analytics and data-driven decision making for operations and senior leadership. Users have found that the software is effective in moving data across different systems, such as NutriKids, TransFinder, and Destiny. It also serves as a reliable data auditing tool.
With its graphical interface and easy-to-use query writing tool, Toad Data Point improves day-to-day operations and streamlines data analysis. Users have praised its ability to join datasets from various sources, including analytics, government organizations, and internal data. By eliminating the need for multiple Excel and Access datasets, it saves time and effort.
Real estate offices have utilized Toad Data Point to produce reports on escrow departments, such as opening, closing, and canceling of escrows, average closing time, and agent performance. In addition to this industry-specific use case, the software has been instrumental in analyzing and tracking issues within analytics environments by developing and managing functions, procedures, and packages to enhance functionality.
Toad Data Point is widely used company-wide by IT, Database, and Technology departments for viewing and troubleshooting transactional information and data in Oracle databases. Its seamless interaction with various datasets like Access databases, Oracle, MySQL, SharePoint lists, and Excel has resolved challenges in joining data from different sources.
Overall, users find Toad Data Point to be a reliable tool that simplifies complex data analysis tasks across multiple databases while providing the flexibility to connect with various data sources.
Easy-to-use Query Builder: Reviewers have consistently praised the Query Builder in Toad Data Point, stating that it is easy to use and efficient for building SQL queries and accessing data. Several users have found this feature particularly helpful in their data analysis tasks.
Intuitive Workflow Feature: The new workflow feature in Toad Data Point has received positive feedback from multiple reviewers. They appreciate its resemblance to products like Hyperion, which makes it familiar and intuitive for business analysts to work with their data. This feature simplifies the process of analyzing and manipulating data, saving time and effort.
Dimensional Views for Efficient Analysis: Many users have discovered the hidden gem of dimensional views in Toad Data Point. These views allow them to display similar data in multiple windows and easily filter on specific criteria. Users appreciate that all windows reflect the same filtered data, enabling efficient analysis across different perspectives.
Difficulties with Automate Feature: Some users have found the Automate feature in Toad Data Point to be challenging to use, suggesting that it may require improvement in terms of usability.
Issues with SQL Editor Features: The SQL Editor features in the new workflow interface have been reported to have some problems, indicating that they may not work as smoothly as desired by some users.
Frequent Software Updates: Several users have expressed concern about the frequency of software updates, stating a preference for fewer releases.
Users highly recommend giving Toad Data Point a try for a 30-day trial to fully appreciate its extensive functionality and the benefits it offers. They suggest utilizing this powerful tool for running ad hoc queries to extract specific data from databases. Additionally, users find Toad Data Point extremely useful for working with database schemas and establishing relationships between different data entities. To make the most of its features, users emphasize the importance of receiving proper training on Toad Data Point. This will enable users to efficiently navigate through its tools and capabilities, maximizing their productivity and achieving better insights from their data analysis tasks.
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December 22, 2023
Excellent Utility Environment Across Multiple Data Sources
I work as a data scientist, marshalling and summarizing data for model-making and analytics to be run against it. I use Toad as a development and query environment against our corporate data warehouse, which encompasses multiple data sources. The target is a Netezza data appliance and the majority of work we do utilizes standard, uncomplicated SQL against
- Connects to multiple data sources
- Allows code folding to encourage focus on subsections of code
- Is standard across multiple database engines
- Is stable and well documented across its history
- Leaks memory in Windows 10 (at least as currently configured)
- Occasionally hangs and requires a restart
- Some operations are either multi-step or unintuitive
- Does not support extensions to change functionality
- It is the least common denominator - not particularly optimized for our environment or workflows.
- Hangs or slowdowns add anywhere from 5% - 7% for projects utilizing large/complicated data setts. (This could be due to other IT-imposed constraints and not entirely due to TOAD.)
- Trying to perform some operations requires reading documentation and experimenting in order to figure out the TOAD-specific approaches and commands.
- It just works (when we understand it). Updates don't break things and things don't suddenly start behaving differently. Best of all, we don't mysteriously lose functionality.
- SQL Server Management Studio (SSMS) and Microsoft Visual Studio Code
TOAD excels at connecting to divergent data sources, but appears geared more to DBAs than to regular query users. Microsoft's offerings excel against Microsoft SQL Server, but sometimes struggle with other data sources.
However, SSMS and vs code excel at many developer productivity/workflow enhancements. vs code, in particular, has a lively extension system that allows it to be tailored for development/querying/model building/etc. That flexibility comes at a cost - the learning curve is steep for new users. The tradeoff between complexity and power may not be good for some environments/users/situations.
However, SSMS and vs code excel at many developer productivity/workflow enhancements. vs code, in particular, has a lively extension system that allows it to be tailored for development/querying/model building/etc. That flexibility comes at a cost - the learning curve is steep for new users. The tradeoff between complexity and power may not be good for some environments/users/situations.