Rekiable, Scalable integrations with no/low code
What do you like best about the product?
What I like the most is that how quickly you can build and scale integrations without writing a lot of custom code. The pipelines are intuitive, especially for common use cases like Saas Integrations, API based data movement, and loading data int0 cloud warehouses like Snowflake.
It reduces dev time and makes it much easier to maintain integrations.
What do you dislike about the product?
While Snaplogic ins powerful, some times debugging complex pipelines can be challenging, especially whenn working with nested snaps or large workflows. The UI can feel a bit cluttered for very large integrations.
What problems is the product solving and how is that benefiting you?
It solves the problem of integration data across multiple systems quickly and reliably. It helps us streamline our data ingestion from multiple sources into our data warehouse and reduce manual scripting and maintenance effort.
As a result out data pipelines became more consistent , easier to monitor and faster to adapt when new sources were introduced.
Migration projects have accelerated data processing and now require better latency and support
What is our primary use case?
My main use case for SnapLogic is migrations from Boomi and other SQL databases to SnapLogic. Regarding the SQL database, I'm not going to disclose the customer name, but I can give you some highlights. It was financial data for a Fintech organization. They wanted to move from their PNL and GL data. All these migrations and the benefits data, which they have to send to the third-party system, moved from another iPaaS system to SnapLogic because of delays and latency, which was the biggest issue for them. So, we built up plenty of data lakes and migrated the data back to SnapLogic.
Similarly, for the SQL database, it wasn't only the latency, but they were also facing issues where people were unnecessarily writing a lot of triggers. They didn't think that was the correct way because there was no alignment or streamlining in terms of process design or the reusable storage of technical resources. They wanted to identify and streamline the entire process, as well as build some kind of reusable process. I have also found that SnapLogic, or perhaps Boomi or MuleSoft, whatever the customer is going to choose, has some kind of edge in terms of processing data quickly and with a reduced amount of latency. I don't know what changes they are going to do with the help of agent AI, all the pipelines, and DataBricks, and all these things, and how they are going to put the data in perspective within the application. That is the use case I can tell you.
What is most valuable?
The best features SnapLogic offers include the different integration patterns you can quickly adapt. Manipulation is easy with the data. When I'm saying easy, I mean that there are a lot of ways to get different data sources into one place, and then you can do a lot of customization. It is easy as well. For a person who doesn't have that kind of exposure, they can quickly adapt. There is no space to say, 'I don't know this system.' If your basics are clear, then you can quickly adapt. So, it is a quick adoption from SnapLogic's side. The second thing is that the kind of features they are providing for the different integration patterns is really unique.
You can build a lot of quick JMS connections. There are inbuilt connections for the likes of SuccessFactors, Salesforce, and Oracle where you can get the data from the ERPs. Then you can do the data manipulation and map the data to the destination system, and send the data to SFTP, to an S3 bucket, or via the API. You can build the API as well within that suite, and then manipulate the data over there. Accordingly, you can utilize the RBAC system in a better manner.
SnapLogic is coming with a lower latency rate when it comes to a huge number of pipelines and the huge terabytes of data they need to read and then they need to write. Especially if they can look towards Apache Iceberg or DataBricks or anything Spark, in terms of how these systems handle the kind of data they are going to send. So there is a quick turnaround to processing the data for any of the downstream systems.
I believe that SnapLogic impacts the organizations I work with as a contractor. It is really useful for them, especially for new use cases that are quickly adapted with a quick turnaround. It is very useful in terms of testing and realization. Especially when there are unique features in SnapLogic, the entire chain and transport management system for sending the whole config from development to quality and from quality to production is really fantastic. This gives a different kind of aspect to the customer as well, to quickly make changes in development with a quick turnaround. In no time, they can send the data from dev to production.
What needs improvement?
The latency is the biggest issue across iPaaS. That is the important part. I have worked not only with SnapLogic, but also with MuleSoft, Dell Boomi, and Jitterbit. They are all fine, but they have different kinds of functionality. They all have similar kinds of problems in different domains. But as I mentioned, SnapLogic has a little bit of an edge because of its functionality and inbuilt functions for Fintech, as compared to the others. This I can say firmly.
They need to assess themselves. In this day and age, as I mentioned earlier, terabytes of data need to be read and then have a quick turnaround for downstream systems, especially for GenAI or any LLMs. Then they can definitely improve themselves because right now, most things, in fact, the GenAI, ChatGPT, Cloud, Anthropic, and so many others, require data quality with perfection and more precision. But for all of that, we require a data pipeline that can be read without latency and without any delay, for any reason. So if they can improvise that over the cloud, that would be really fantastic and a really good achievement for them. Not only for them, but for the customer as well. Then no matter what, people cannot leave SnapLogic. They need to be there with the snaps.
I don't know much about that. I haven't referred to the documentation that much. But support is something that is pretty obviously required, rather than just providing videos. Technical support is required. The roadmap also needs to be very clearly mentioned and specified. Be specific in which domain they are going to do what, if they are coming out with that roadmap. Otherwise, overall, if they are going to improve their entire system as I mentioned earlier, for the reusability concept and the data pipeline concept, then they will definitely do some magic in the future.
From the HR point of view, or for HR tech, improvement is required. A couple of connectors are not working with all the relevant APIs, and there is always a restriction in terms of fetching the data. So that is why I chose six. From the Fintech point of view, if you are asking on a scale of one to 10, then I would give it an eight out of 10. It is a huge one. There is always a margin for improvement, so that is why I chose eight. If you talk about HR, sales, or any other domain, there is a significant amount of improvement required.
For how long have I used the solution?
I have been working in my current field for close to 18 years.
What do I think about the scalability of the solution?
SnapLogic's scalability is huge. There is a huge amount of scalability. That is why I put it on the scale of six. There is an area for improvement. Once that area of improvement is already done, or about to be completed, then it will definitely be a nine out of 10.
How are customer service and support?
Customer support for SnapLogic is neither bad nor good. It is okay, normal. Sometimes it is very good, sometimes there is no response.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I did a lot with Boomi. I love Boomi a lot, along with SnapLogic. Where we switched to SnapLogic, it wasn't from Boomi. The customer chose SnapLogic over the traditional way of working, such as a SQL database, Oracle database, or some other iPaaS solution, which was not Boomi. They switched because the traditional solutions did not fit their commitment or approach to making an ecosystem out of the cloud. That is why they switched to SnapLogic. Everywhere I have worked where SnapLogic is used, they were all in Fintech. Fintech has huge, secured, and very cumbersome numeric logic. They don't have a huge population within the organization, but they require very complex calculations which they would to complete easily. This allows them to connect with it over many years. So if they would want to switch from or to SnapLogic, they need the entire ecosystem as it is: process optimization, approach, documentation, etc. That is why they chose SnapLogic.
I have evaluated other options. Honestly speaking, I gave the suggestion for both Boomi and MuleSoft.
What about the implementation team?
I am a contractor, so I can work. I know this. I did not work with a partner, reseller, or any kind of relationship for anyone.
What was our ROI?
Time was definitely saved with SnapLogic. Money, I don't know. I'm not part of the pricing and setup, so I can't say. I can't comment on that. It is not that fewer employees were needed, but time was definitely saved, and our process was optimized with the help of SnapLogic. That I can say for sure.
Which other solutions did I evaluate?
Before using SnapLogic, I had a different opinion.
What other advice do I have?
I would rate SnapLogic a six on a scale of one to ten.
I don't really remember if you are talking about metrics, but I can give you one example where we built around eighty odd interfaces out of three hundred interfaces that needed to be migrated from Oracle. It worked really well. It was fantastic in terms of processing, latency, data manipulation, and the downstream system. For one interface, we had to send it to more than thirty places in different time zones with different scheduling. We heavily customized those interfaces, and it really works well.
I would tell others looking into using SnapLogic to use it. Take it, use it, and use it. You can't go beyond SnapLogic. SnapLogic is not going to give you any kind of bad experience, definitely. Because any solution that has a huge amount of scalability, there is a probability that a solution SnapLogic is not going to feel uncomfortable for any customer expectations.
Good luck. Do great things and have great achievements. I would love to see and then move myself also onto SnapLogic's new roadmaps. You will definitely do some wonders with SnapLogic.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
User-Friendly, Efficient Yet Needs Improved Connectivity
What do you like best about the product?
I basically like the ease of use and the very user-friendly UI that helps any user to start integrating and building pipelines and integration very easily from scratch. The connectivity is very fast, and it has a lot of snaps available to connect with multiple source systems and process the data. The user-friendly UI, especially the drag-and-drop feature, is very helpful for creating complex pipelines. The initial setup was very easy, and SnapLogic Intelligent Integration Platform documentation helps a lot whether it's on cloud or on-premises.
What do you dislike about the product?
Basically, when we are processing a larger dataset, it tends to take a lot of time if the nodes are not configured properly. The nodes might go into one particular node, leading to a lot of execution time. Also, while it is running for a longer time, there's a chance of losing connectivity between the external systems and SnapLogic.
What problems is the product solving and how is that benefiting you?
SnapLogic Intelligent Integration Platform (IIP) eases integration with multiple systems, enhances connectivity across environments, and manages large data sets with ease.
Easy Drag-and-Drop Integrations with SnapLogic IIP—Fast, Scalable, and Reliable
What do you like best about the product?
SnapLogic IIP stands out for its ease of use and ease of integration, making it simple to connect multiple applications and data sources. The ease of implementation is a big advantage, as integrations can be built quickly using prebuilt Snaps with minimal coding. It offers a good number of features that support both simple and complex integration needs. We use it frequently because it helps speed up development and reduces manual effort. Overall, it is a reliable platform for enterprise integrations.
What do you dislike about the product?
Although SnapLogic is easy to use once familiar, the initial learning curve can impact the ease of implementation for new users. Debugging and error handling could be improved to enhance the overall ease of use. The customer support response time can sometimes be slow for complex issues. Additionally, licensing costs feel high considering the frequency of use, and better optimization options would help when working with large data volumes.
What problems is the product solving and how is that benefiting you?
SnapLogic IIP helps us solve challenges related to connecting multiple systems and data sources across the organization. We use it as an iPaaS solution for ETL tools, API management, and on-premise data integration, which reduces manual effort and integration complexity. It also supports big data integration platforms and AI agent builders, enabling faster data movement and automation. This improves data consistency, speeds up integration delivery, and allows teams to focus more on business logic rather than technical integration issues.
Powerful Yet Simple Integration—AI Recommendations, Visual Design, and Pre-Built Snaps
What do you like best about the product?
What I like best about SnapLogic IIP is its balance of power and simplicity. The Iris AI provides intelligent recommendations that speed up development, while the visual designer makes complex orchestrations transparent. Its elastic architecture and massive library of pre-built Snaps allow our team to integrate any application or data source in a fraction of the time compared to traditional ETL tools.
What do you dislike about the product?
The primary areas for improvement are the high cost of entry and the complexity of the DevOps/CI/CD lifecycle. While the UI is great for building, the debugging tools for complex transformations could be more granular, and the browser-based Designer can experience performance lag when handling very large pipelines. Additionally, a more standardized expression language or better documentation for syntax quirks would reduce development friction.
What problems is the product solving and how is that benefiting you?
The Problem: Most modern enterprises struggle with data trapped in disparate SaaS applications (Salesforce, Workday, ServiceNow) and legacy on-premise databases that cannot talk to each other.
How it benefits me: It acts as a universal translator. By using pre-built "Snaps," we can connect these systems in hours rather than weeks, ensuring that our customer data is consistent across every department without manual data entry.
Beginner-Friendly with Powerful Integrations
What do you like best about the product?
I use SnapLogic Intelligent Integration Platform (IIP) every day to create pipelines for various purposes. What I like most is its user-friendly drag and drop approach, which keeps the platform clutter-free by separating management and debugging into separate sections like Monitor and Manager. The platform’s ease of use is also enhanced by its ability to integrate with various third-party tools like Git, Tidal, and AWS, which makes it more powerful. Additionally, SnapLogic's low code/no code nature eliminates the dependency on coding knowledge, making it beginner-friendly. I also appreciate the advanced features that SnapLogic offers, including AI, allowing us to create our own AI agents. The initial setup was quite easy, and we received good support from the SnapLogic support team.
What do you dislike about the product?
In my opinion, SnapLogic is beginner-friendly, but when implementing advanced mappings in the mapper or using advanced or complex expressions, at least JavaScript knowledge is required. While generating an AI agent and implementing it through SnapLogic, there is a dependency on other systems like Streamlit, Python, MongoDB, etc. If that can be done in SnapLogic itself, it would reduce the dependency. Also, regarding enhancing user experience, SnapLogic should improve their certification content as many features are still missing, and due to that, many users are unaware of them.
What problems is the product solving and how is that benefiting you?
I use SnapLogic Intelligent Integration Platform (IIP) because it's beginner-friendly, allowing anyone to create pipelines without coding skills. It offers advanced features and AI integration, which makes it a powerful tool for my needs.
User-Friendly Platform with Effortless Integration
What do you like best about the product?
The platform is user-friendly and makes it easy to build integrations using a simple drag-and-drop feature for snaps. It also offers a wide variety of available connections, which adds to its convenience.
What do you dislike about the product?
I find it somewhat difficult to debug the actual errors, and I've also noticed a drop in performance when handling heavy workloads.
What problems is the product solving and how is that benefiting you?
This platform provides a unified space where I can connect with various services, bringing all my data together in one place. It enables me to perform transformations and build comprehensive end-to-end pipelines and integrations. I also appreciate the recent additions, such as snapgpt, which has been very helpful. Furthermore, the operational architecture, including cloudplex and groundplex, offers effective management capabilities.
Powerful Data Integration with Minimal Complexity
What do you like best about the product?
What I value most about SnapLogic is its ability to make complex integrations much easier. The intuitive drag-and-drop design and prebuilt connectors let me create pipelines quickly with minimal coding, while still handling large-scale, enterprise data effectively. It’s a dependable platform that works smoothly across both cloud and on-premises environments, and its monitoring capabilities simplify day-to-day operations.
What do you dislike about the product?
One drawback I’ve noticed with SnapLogic is that working with incremental loads isn’t always as simple as it should be. Implementing and maintaining incremental logic often needs additional configuration or custom steps, which can increase pipeline complexity and maintenance effort. Also, customer support response times can occasionally be slower than expected.
What problems is the product solving and how is that benefiting you?
SnapLogic helps address the challenge of linking and integrating data across multiple systems and applications in a straightforward manner. It minimizes the need for extensive coding, makes pipelines more intuitive, and ensures reliable data movement. Additionally, it has simplified my day-to-day integration tasks and allowed me to build confidence quickly through hands-on experience.
User-Friendly Integration Platform with Powerful Monitoring
What do you like best about the product?
I highly value SnapLogic for its user-friendly, low-code design that simplifies complex enterprise integrations. It efficiently handles large-scale data across cloud and on-premise systems, offering a reliable platform with comprehensive monitoring tools for easy day-to-day operations.
What do you dislike about the product?
A primary pain point with SnapLogic is the lack of a streamlined approach to incremental data loads, which necessitates complex custom handling. Additionally, the speed of technical support responses has been a challenge, occasionally delaying project timelines during critical troubleshooting phases
What problems is the product solving and how is that benefiting you?
One area for improvement in SnapLogic is the management of incremental updates; the process feels less straightforward than the rest of the platform and adds operational overhead to our pipelines. We also find that customer support response times are sometimes sluggish, making it difficult to resolve urgent issues quickly.
Simplifies Integrations with Powerful Features
What do you like best about the product?
I like that SnapLogic Intelligent Integration Platform (IIP) simplifies complex integrations, especially with its drag-and-drop design and ready-to-use connectors, which make building pipelines quick and require minimal coding while still handling large enterprise-level data smoothly. It's reliable across both cloud and on-prem systems, and its monitoring features make daily management easy. The low-code, AI-driven approach simplifies enterprise integrations, and I find the extensive snap library and reduced development time very helpful. SnapLogic provides a unified, intelligent, and user-friendly platform that makes complex data and application integration faster and more accessible for modern enterprises. The learning curve is good for me, and the initial setup was straightforward with the support of customer service.
What do you dislike about the product?
One thing I would like to advise is for handling the incremental loads can be less straightforward than expected. Setting up and managing incremental logic often requires extra configuration or custom handling.
What problems is the product solving and how is that benefiting you?
I find SnapLogic IIP simplifies complex integrations with its drag-and-drop design, reducing the need for heavy coding. It makes data flows reliable and my daily integration work easier. The platform handles large data seamlessly across cloud and on-prem systems.
