

SAS Data Management and Toad Data Point are competing products in data analysis and management. Based on data comparisons, SAS Data Management leads in comprehensive data integration while Toad Data Point is recognized for its capabilities in data transformation and visualization.
Features: SAS Data Management offers robust data integration, quality, and governance features ideal for enterprise solutions. Its advanced analytics support large data volumes efficiently. Toad Data Point provides strong data connectivity, transformation, and reporting tools, allowing users to connect and query diverse data sources quickly and effectively.
Ease of Deployment and Customer Service: SAS Data Management supports scalable deployments suited to enterprise needs with extensive training and support. Toad Data Point offers straightforward setup across various environments and satisfactory customer service for resolving technical queries.
Pricing and ROI: SAS Data Management has a higher initial cost reflecting its enterprise-focused capabilities but promises substantial ROI through enhanced data management and analytics. Toad Data Point is cost-effective, appealing to businesses with budget constraints, delivering reasonable ROI through flexible data handling and reporting.
Reliable data plus less human intervention and less error result in a strong return on investment.
There is a clear return on investment because there is a significant amount of time saved and productivity gained, with roughly 30% to 50% of the time being reduced in solving production tickets heavily dependent on ad-hoc queries and accessing data from multiple sources.
If they contain duplicate counts or null records or improper data, those records would not be reliable.
Tasks such as querying data, validating results, and troubleshooting database issues became more efficient, which helped save time during development and testing.
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
The quality of their support is excellent, and the speed is very good, too.
They resolved my issue within a day which was specifically around licensing.
Overall, the service is excellent.
It does not scale well when considering the high cost of the Mac license.
Some aspects, like scalability, could be improved to avoid writing different codes for each database.
Scalability has not been an issue because so far we have dumped about a billion records per year, and I do not see any issues as such.
Toad Data Point has been stable overall in my experience, especially for regular database querying and daily development tasks.
Most of the time, it performed consistently when running queries, connecting to data sources, and analyzing data.
I often feel instability locally because it is a heavy application, and I feel some slowness in the response of the user interface.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
SAS Data Management can be improved in terms of the learning curve.
Better data visualization tools, improved integrations with modern tools, and enhanced collaboration features such as shared query libraries and real-time collaborations would be beneficial.
Toad Data Point should include more features for utilizing AI, which can automatically perform many tasks.
The application is heavy on my local PC; however, if I connect to a remote server, I think it works better.
From my experience, SAS Data Management is an expensive tool.
The Mac licenses are expensive, costing 1,600 dollars each.
The pricing for Toad Data Point is where it gets into trouble.
The pricing is cost-effective; it is neither too cheap nor too expensive, it's a good value.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform.
I am able to have cross-connection queries, blend and join data from multiple different databases in a single query, with data profiling, automation and scheduling, and export and reporting tools.
I utilize automations in my database with Ansible automations, performing automation data processing units and deployment, which has a positive impact, increasing efficiency and reducing human error, as well as saving time, thus improving productivity and scalability compared to human errors.
Broad connectivity with the visual query builder because it is the most valuable for me as I can connect to different data sources, build queries quickly with drag-and-drop, and validate the results without writing everything manually from scratch.
| Product | Mindshare (%) |
|---|---|
| Toad Data Point | 0.8% |
| SAS Data Management | 1.2% |
| Other | 98.0% |


| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 11 |
SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.
SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.
What are the key features of SAS Data Management?SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.
Toad Data Point offers a user-friendly platform for streamlined database management, providing effective tools for data integration and analysis across multiple databases.
With a focus on enhancing database management efficiency, Toad Data Point facilitates smooth SQL querying and data preparation for organizations. Its seamless integration with different databases like Oracle, DB2, and MySQL allows for effective data analysis and workflow automation. Users benefit from drag-and-drop query building and AI-assisted analysis, enhancing productivity while enabling data-driven decision-making.
What are the key features of Toad Data Point?In industries requiring extensive data analysis and reporting, Toad Data Point is deployed to streamline operations. Businesses engage it for SQL queries, data preparation, and cross-database analysis, which are critical for sectors reliant on accurate data and timely insights.
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