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SnapLogic vs Toad Data Point comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.5
SnapLogic optimizes operational efficiency by reducing costs, automating processes, and improving productivity with a low-code platform.
Sentiment score
5.5
Users experienced over 100% ROI with Toad Data Point due to time savings, improved efficiency, and enhanced data reliability.
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
Technical Specialist App Development at Birlasoft IndiaLtd.
The reports and pipelines run, leading to cost savings that reduce manual effort and save 50,000 to 150,000 USD annually.
Product Manager at a university with 501-1,000 employees
Suppose there was an issue resolution time of 10 hours for the previous manual effort; now it is reduced to one hour or half an hour.
Integration Consultant at a consultancy with 1,001-5,000 employees
If they contain duplicate counts or null records or improper data, those records would not be reliable.
Business Analyst at a financial services firm with 10,001+ employees
Financially, I understand that teams often see a return on investment of one hundred percent plus annually from Toad Data Point through time savings and tool consultation;
Junior Data Analyst at Lumendata
 

Customer Service

Sentiment score
6.9
SnapLogic customer service is generally positive, praised for responsiveness and resolution, though expertise and response times vary.
Sentiment score
6.0
Toad Data Point's customer service is praised for responsiveness, active bug fixing, and strong community support, despite lacking AI agents.
The responsiveness, technical expertise, knowledge base and documentation, support channels, and continuous improvement were impeccable.
Product Manager at a university with 501-1,000 employees
They are providing the best customer support to the organization and the vendors.
Integration Consultant at a consultancy with 1,001-5,000 employees
I have been very impressed with how responsive they are and how well they take feedback and they value my team's experience.
Senior Software Engineer at Cooperative Benefits Group
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.
ERP Manager at a tech services company with 5,001-10,000 employees
Overall, the service is excellent.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
 

Scalability Issues

Sentiment score
7.3
SnapLogic offers scalable and adaptable integration solutions, supporting multi-cloud and on-premise environments, suitable for growing enterprises.
Sentiment score
6.8
Toad Data Point is scalable and efficient for databases, despite memory load issues and licensing costs, especially on Mac.
After implementing SnapLogic, pipelines that processed one to two million records per week can now handle five to 10 million records without additional infrastructure.
Product Manager at a university with 501-1,000 employees
That means you can connect any system or application anytime, whether day or night, scheduled or dynamic, and anywhere, whether it is cloud or on-premises.
Integration Solution Architect at Hitachi Digital
It supports enterprise-wide integration and has a cloud-native architecture.
Integration Consultant at a consultancy with 1,001-5,000 employees
It does not scale well when considering the high cost of the Mac license.
ERP Manager at a tech services company with 5,001-10,000 employees
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.
Senior Data Scientist at a tech vendor with 10,001+ employees
 

Stability Issues

Sentiment score
7.5
SnapLogic is stable and effective with minimal downtime, though some prefer Boomi for better stability during specific updates.
Sentiment score
7.7
Toad Data Point is stable but faces local performance issues and update lags; new problems are quickly resolved.
I would rate the stability of SnapLogic as nearly ten out of ten.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
But recently, in a year, I haven't found many performance issues in SnapLogic.
Technical Specialist App Development at Birlasoft IndiaLtd.
However, sometimes we see that SnapLogic is unstable during patch releases or Snap Pack releases.
Integration Solution Architect at Hitachi Digital
I often feel instability locally because it is a heavy application, and I feel some slowness in the response of the user interface.
Senior Data Scientist at a tech vendor with 10,001+ employees
 

Room For Improvement

SnapLogic requires improved data transparency, error handling, integration, APIs, security, and user-friendly interfaces, with enhanced performance and support.
Toad Data Point needs interface improvements, enhanced features, AI assistance, scalability, and better collaboration to address user concerns.
We require a data pipeline that can be read without latency and without any delay.
Architect at a transportation company with 1,001-5,000 employees
IP whitelisting is the area that SnapLogic definitely has to improve.
Integration Solution Architect at Hitachi Digital
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
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.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
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.
Senior Data Scientist at a tech vendor with 10,001+ employees
 

Setup Cost

SnapLogic offers flexible, subscription-based pricing, though perceived costly by some, justified by capabilities and low initial setup costs.
Toad Data Point pricing is reasonable, but Mac version costs deter adoption; Microsoft rivalry impacts licensing choices.
I feel SnapLogic is very expensive compared to others.
Integration Solution Architect at Hitachi Digital
There would be only one point of improvement if the price could be lower.
Head of Data Practice at a tech consulting company with 201-500 employees
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
The Mac licenses are expensive, costing 1,600 dollars each.
ERP Manager at a tech services company with 5,001-10,000 employees
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.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
 

Valuable Features

SnapLogic excels with its ETL capabilities, user-friendly interface, automation, real-time processing, and robust monitoring for efficient workflows.
Toad Data Point offers cross-database queries, automation, AI-assisted analysis, and drag-and-drop management for streamlined data productivity.
I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
Head of Data Practice at a tech consulting company with 201-500 employees
SnapLogic provides inbuilt Snaplets, such as creating and closing an audit ID, removing duplicates, joining tables, writing to Oracle, files, XML, SF, SMTP connections, and more.
Data engineer at a tech vendor with 10,001+ employees
SnapLogic excels in data transformations, monitoring, and observability, providing scalability controls for the pipelines.
Senior Data Engineer at a university with 201-500 employees
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.
Junior Data Analyst at Lumendata
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.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
There is a feature called Toad Automation, which is a valuable tool.
 

Categories and Ranking

SnapLogic
Ranking in Data Integration
12th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
34
Ranking in other categories
Process Automation (7th), API Management (12th), Cloud Data Integration (8th), Integration Platform as a Service (iPaaS) (7th)
Toad Data Point
Ranking in Data Integration
19th
Average Rating
8.8
Reviews Sentiment
6.8
Number of Reviews
10
Ranking in other categories
Data Preparation Tools (4th)
 

Mindshare comparison

As of July 2026, in the Data Integration category, the mindshare of SnapLogic is 1.3%, down from 1.5% compared to the previous year. The mindshare of Toad Data Point is 0.8%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SnapLogic1.3%
Toad Data Point0.8%
Other97.9%
Data Integration
 

Featured Reviews

AR
Integration Consultant at a consultancy with 1,001-5,000 employees
Low-code integrations have automated workflows and save time across enterprise applications
They can enhance the error handling and debugging part. Troubleshooting complex pipeline failures can be time-consuming. We are spending a lot of time on error handling. More detailed error messages and root cause analysis tools can be added, which will definitely improve the developer experience. In the Ultra real-time integrations, we can monitor the last execution history of only 100 runs. That can be increased, which would be one of the platform improvements that can really be taken. However, they are doing very well because lots of ChatGPTs and AI assistants have been added in the last two years, which makes a very good effect. SnapLogic is the only platform that provides this kind of visibility to the developers. Anyone, even if they have low experience and are starting their IT careers, can directly jump in and learn SnapLogic. The documentation is very easy to learn. Anyone, even a layman, can refer to that documentation and go through its Snap-pack to understand what configuration has to be done to use this Snap-pack. This makes SnapLogic definitely exceptional in the market. You won't find such comprehensive documentation in other iPaaS tools. The draggable packs truly demonstrate its power in usability. Governance and security are also well in place in SnapLogic, but there are areas for improvement. They can add more granular role and permission controls that provide greater flexibility for large enterprises. For example, if you have to provide access to 70 users in one shot, that can be improved. More improvements in policy enforcement capabilities are possible as well. SnapLogic can improve the data lineage part to achieve better end-to-end visibility into data movement. Also, during validation, we can only see up to 2,000 records currently. They can increase that from 2,000 to 20,000. They can put more visibility on costs and resource visibility, with better reporting on platform usage, processing consumption, and cost optimization opportunities.
Sudunagunta Bhavya Lekha - PeerSpot reviewer
Junior Data Analyst at Lumendata
Drag-and-drop workflows have accelerated cross-database analysis and simplified daily reporting
I consider user interface modernization in Toad Data Point to be an area for improvement; it could be enhanced with a more modern, web-based look and smoother navigation, focusing on better UX and dashboard customization. Real-time collaboration could benefit from trying Git-style integration, which would strengthen team collaboration features. Performance with large data sets sometimes slows down our workflows, so implementing a better optimization engine specifically for big data workflows could enhance functionality, along with improvements in cloud-native deployment for better browser access. For the dashboarding feature, I believe Toad Data Point could improve by offering more interactive dashboards and advanced visualizations beyond the current basic charts and pivots. Implementing capabilities such as drill-down, interactive filters, and dynamic parameter selections would align more with BI-style interactivity. Visualizations compared to tools such as Microsoft Power BI or Tableau are quite limited, so enhancing this area with cloud-hosted interactive dashboards and seamless auto-refresh options would greatly improve user experience.
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Top Industries

By visitors reading reviews
Manufacturing Company
13%
Financial Services Firm
11%
Healthcare Company
8%
Construction Company
8%
Financial Services Firm
17%
Healthcare Company
9%
Manufacturing Company
9%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise7
Large Enterprise18
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
 

Questions from the Community

What needs improvement with SnapLogic?
The learning curve for advanced use cases with SnapLogic could be improved. While basic pipelines are easy, more complex transformations and debugging can still be a bit challenging. Another improv...
What is your primary use case for SnapLogic?
Our main use case for SnapLogic is building and managing data integration pipelines between different systems, especially for automating API-based workflows. It helps streamline data movement, tran...
What advice do you have for others considering SnapLogic?
I recommend that instead of going to the Groundplex node, teams use SnapLogic for SaaS-based solutions because running the Groundplex node creates additional operational overhead for the team. To g...
What is your experience regarding pricing and costs for Toad Data Point?
The pricing is cost-effective; it is neither too cheap nor too expensive, it's a good value.
What needs improvement with Toad Data Point?
Areas for improvement in Toad Data Point usage could include a better UI interface, building in AI assistance, and faster performance for large databases, especially since accessing a terabyte of d...
What is your primary use case for Toad Data Point?
My use case is mainly for business analysis, and I also use it for some parts of machine learning and AI, and in some cases, I use it for healthcare purposes.
 

Also Known As

DataFlow
No data available
 

Overview

 

Sample Customers

Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!
Concordia University
Find out what your peers are saying about SnapLogic vs. Toad Data Point and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.