SnapLogic

What do you like best about the product?

The main thing I like about Snaplogic IIP is that it makes integration much easier. We can build pipelines using available snaps instead of building everything from scratch. The drag and drop interface is also easy to understand and it helps when working with datasources and doing transformations. Overall it saves time in development process.

What do you dislike about the product?

One thing I find a little frustrating is that user interface and functionalities are kept on changing. It is difficult to habituate new version suddenly. Except this reason everything is fine.

What problems is the product solving and how is that benefiting you?

Snaplogic makes it easier for us to connect different systems and move data between them. We don't have to build every integration from scratch, since we can use the available snaps and configure them based on what we need. This saves development time and also makes it easier to make changes or maintain the production pipelines.

What do you like best about the product?

Snaplogic supports a plethora of Snap Packs for connecting to a wide range of services—Oracle, Postgres, Reltio, S3, and more—all in one place. On top of that, SnapGPT is helpful for troubleshooting pesky errors and for working out an implementation plan.

What do you dislike about the product?

Sometimes the platform crashes, which can cause unsaved work to be lost permanently. Also, the latest deployments occasionally don’t show up unless I log out and back in, which makes checking deployments a bit tedious.

What problems is the product solving and how is that benefiting you?

Previously, we relied on multiple services to analyze data coming from different systems. Now, with Snaplogic, all of our data can be cleaned, transformed, and analyzed in one place, which makes the overall process much more streamlined leading to saved time and money.
The new UI/UX has improved performance.
Also, Snaplogic support, on the rare occasions it is required, is quick and easy.

What do you like best about the product?

It’s a good ETL tool with efficient data processing. The UI is amazing, and the overall interactivity is great.

What do you dislike about the product?

The data processing capability could be improved. When working with a large volume of data, I sometimes experience slowdowns.

What problems is the product solving and how is that benefiting you?

ETL, data processing, data management, and business analysis.

What do you like best about the product?

The feature I like most about SnapLogic Intelligent Integration Platform is its low-code, visual pipeline development. It allows developers to build complex data integration workflows using drag-and-drop Snaps instead of writing large amounts of code. This significantly reduces development time while making pipelines easier to understand, maintain, and troubleshoot.

What do you dislike about the product?

One challenge I've noticed with SnapLogic is troubleshooting very large integration pipelines. When a pipeline contains many child pipelines, routers, and transformations, identifying the exact Snap causing a failure can sometimes take time. I usually use the Dashboard, execution statistics, error views, and validate each pipeline segment individually. Adding proper logging, meaningful pipeline parameters, and modularizing large pipelines makes troubleshooting much easier.

What problems is the product solving and how is that benefiting you?

SnapLogic simplifies data ingestion by replacing custom integration code with pre-built connectors and visual pipelines. Instead of manually writing scripts for every new source, I can configure a connector and build the pipeline much faster. This reduces development time, maintenance effort, and makes onboarding new data sources much easier.

What do you like best about the product?

What I like most about snaplogic Intelligent Integration Platform is its easy-to use interface and drag and drop pipeline design, which makes building integrations much faster. In my project, we use it to connect with different data sources, configure accounts and snaplex, and build scalable pipelines. The platform performs well for handling large data loads, and we can easily monitor pipeline executions and quickly identify failed jobs. The wide range of prebuilt Snaps simplifies integrations and reduces our development time, providing good value overall. The onboarding experience is straightforward, and the available documentation and support were helpful to me. I also like the AI-assisted features that make pipeline development and configuration more efficient.

What do you dislike about the product?

Overall, my personal experience with snaplogic has been positive, but there are a few areas that could be improved. Debugging complex pipelines can sometimes take longer because the error messages and logs are not always detailed enough. The Designer can also feel cluttered when working with large pipelines, and performance may slow down with very high data volumes. I think version management could be improved when multiple developers collaborate on the same project. Also, some prebuilt Snaps have limitations for advanced use cases, requiring custom scripting or workarounds. These improvements would make development and maintenance even smoother.

What problems is the product solving and how is that benefiting you?

snaplogic helps us integrate data from multiple source systems through a single platform, reducing the need for custom integration code. We use it to build scalable pipelines using prebuilt Snaps, configure accounts and snaplex, and automate data movement between different systems. It also makes it easy to monitor pipeline executions and quickly identify failed jobs, helping us resolve issues faster and maintain reliable data workflows. Overall, it has improved our development speed, simplified integration management, and reduced manual effort in our daily operations.

What do you like best about the product?

The drag-and-drop integration style with Snaps makes building pipelines really fast, so I don’t have to write a lot of code from scratch. The AI assistant also suggests the next logical steps in the flow, which saves me a ton of time. And once you get the hang of it, connecting cloud apps to on-premise systems is pretty smooth.

What do you dislike about the product?

The UI can get a bit laggy when dealing with massive, complex pipelines with hundreds of nodes. Error handling and debugging could also be clearer when a deep data mapping issue happens midway through a run.

What problems is the product solving and how is that benefiting you?

It solves the huge headache of manually writing custom code to connect old on-premise systems with new cloud apps. Building data pipelines now takes hours instead of weeks because of the pre-built connectors and low-code setup. It frees up our engineering team from constant maintenance so we can focus on major dev projects instead of fixing broken APIs. Overall, it keeps our data moving smoothly without setup crashes, making it a huge time-saver for the whole team.

What do you like best about the product?

What I like most about snaplogic is how quickly one can build and manage integration pipelines. The drag and drop option is very helpful and makes work much faster, especially for teams working with multiple data sources. At the same time,I can also implement complex transformations and custom logic when ever required.one feature I find particularly useful is the extensive Snap Pack library. It provides readytouse connectors for cloud platforms, databases, restful APIs, which reduces development time and eliminates a lot of repetitive work. This also performs well for both scheduled and large data integration workloads, and pipeline monitoring makes it easy to identify and troubleshoot failures for me, for enterprise needs,I think pricing feels justified given the features and productivity.getting startd was straightforward thanks to the ui and available documentation. Whenever I needed help, the support team was responsive so far.While the Ai capabilities are useful, i think there's still room for more advanced automation and optimization features. Overall, it has helped my team deliver integrations faster while keeping pipelines easy to maintain

What do you dislike about the product?

Snaplogic has been reliable to me for building and managing integrations, but debugging complex pipelines can sometimes be challenging. For ex- when a child pipeline fails due to a schema mismatch or any api response changes, the error messages don't always provide enough contxt, so tracing the root cause can take longer than expected. The visual designer is easy to use, but it can become cluttered when working with large pipelines containing many branches and reusable child pipelines. pricing may also be a consideration for smaller teams, although the productivity gains generally justify it for enterprise environments. I'd also like to see more AI-driven capabilities, such as automatic pipeline optimization, better error analysis, and proactive recommendations for improving performance and data quality.

What problems is the product solving and how is that benefiting you?

Snaplogic has helped me simplify data integration by connecting to different sources, databases, APIs, and cloud platforms with minimal custom coding. the wide range of pre built Snaps/connectors made it easy to build pipelines faster, automate data movement, and reduce development effort.The visual pipeline designer, reusable components, and built-in monitoring helped improve reliability and troubleshooting. Overall, snaplogic IIP has helped me accelerate integrations, reduce manual work, and focus more on delivering business solutions instead of maintaining complex integration code.

What do you like best about the product?

I like SnapLogic Intelligent Integration Platform's simple and easy-to-use interface. The list of snaps available is commendable, and it's really helpful for building complex ETL pipeline designs.

What do you dislike about the product?

Mostly, it depends on the data size and the amount of transformations and transactions we're doing. For the longer-running pipelines, sometimes it tends to fail or stop abruptly. This happens because of lost connectivity between the external systems or among the Snaplex servers, causing it to fail abruptly sometimes.

What problems is the product solving and how is that benefiting you?

SnapLogic Intelligent Integration Platform (IIP) helps me build complex pipelines for business requirements, involving connections with various external environments and databases.

What do you like best about the product?

i like most about snaplogic is its snaps, snaps are connect to various data sources and destinations to read data, write data and transform data that too without any code and low code

What do you dislike about the product?

When using a Parent-Child Pipeline to load multiple files simultaneously from SharePoint to Snowflake, the Snowflake Bulk Load Snap with Truncate & Load mode causes a critical issue:
Each child pipeline run truncates the Snowflake table before loading its file meaning only the last file's data survives, and all previously loaded files get wiped out!

What problems is the product solving and how is that benefiting you?

My Suggested Solutions:
Add a "Truncate Once" option in the Snowflake Bulk Load Snap that truncates only on the first execution and appends on subsequent runs within the same pipeline session.
Allow the Parent Pipeline to handle the truncation step before triggering child pipelines, so children only append data.
Add a Pipeline-level Truncate Lock that prevents multiple child pipelines from truncating the same table simultaneously

My main use case for SnapLogic is that we primarily use it for data transformation, ETL pipelines, file generation, and sending extract files to our external vendors.

I can give you a specific example of how we use SnapLogic for one of those tasks. Every day we receive claim files from our primary vendor and we load those using SnapLogic and transform the data accordingly to match our database schema. After the files have been loaded, we send out many different extracts to different vendors depending on their needs, and all those extracts go through SnapLogic.

I have more to add about my main use case and how SnapLogic fits into my workflow. We also use SnapLogic scheduled tasks for many of our processes. Some of those are daily and some of those are monthly, but we enjoy using SnapLogic to schedule those tasks out accordingly. It has helped significantly with organizing those different scheduled tasks and keeping us on track with different deliverables for several vendors that we have.

Almost all of our data transformation process and file extract process goes through SnapLogic. We have a ton of our infrastructure set up in there and I would say it is extremely important for our processes. It would be very difficult to switch away from it because of how we have set up everything with their scheduled tasks and how we are all used to their infrastructure and their UI. We all really enjoy it. It is very simple to set up tasks for reading, transforming, and extracting data, formatting files, and sending things to Amazon S3 or other delivery locations. It has simplified things greatly, especially having the visual UI to see how the data is flowing through the pipeline. This makes things a lot easier compared to setting that up in code alone. My whole team and I really enjoy that visual aspect of the data transformation process.

SnapLogic has specifically helped my team save time and resources. As I mentioned, we have a lot of our infrastructure set up in there. I would say we probably have 150 pipelines. Setting all of those processes up in code alone would be quite an undertaking and I believe there would be significantly more infrastructure and maintenance set up around those pipelines if we were to do it in code alone. Having everything stored in SnapLogic and having the visual aspect of it really helps us keep things in a central location. We can all see how the data is flowing much more easily and it is really easy to make edits and drag and drop things. Out of those 150 to 200 processes, having all those in SnapLogic makes it a lot more organized and a lot easier for new people on the team to drop in and get the hang of things quickly.

One of my favorite features SnapLogic offers is how many pre-configured Snap Packs and Snaps are available for lots of third-party integrations. For example, we use a lot of AWS services and we have a lot of different database connections and APIs that we call. We use their wide selection of pre-configured Snaps to help us build out those much faster. That makes things a lot easier. Another one of my favorite features of SnapLogic is how easy it is to monitor pipeline executions. Their Monitor app is very useful to see things that are running, things that have failed in the past, and upcoming tasks. I use their monitor app quite a bit for pipeline debugging.

Out of the features I mentioned, I rely on their Snap Pack and their pre-configured Snaps a little more often day-to-day than the Monitor because we do not always have pipelines failing, but I am always working on building new pipelines or editing old ones with their Snap Packs. I know that they have many Snap Packs that we have not had a chance to use yet. For example, their up-and-coming AI ones. We have been chatting with their team about it, but we have not integrated them into our workflows very much yet. In addition, their Patterns feature is also important to me. We typically copy and paste old pipelines more often than using their pre-built patterns and I would appreciate spending more time looking at those to see how they could help us speed up our pipeline development.

I am impressed with how they are pushing forward with AI integration in their pipelines, particularly with their Snap GPT, which has become increasingly useful to us. Aside from that, their team regularly works with my team on calls to walk us through their new AI tools and see how we use them and how they can improve. I am very excited about many of their new AI features, and I am impressed with how they are being very communicative and pushing that forward with our help.

There are a few ways SnapLogic can be improved, as there are some UI quirks that I have personally noticed. For example, we use a lot of SQL queries in our Snaps. Sometimes they are very long and complex, and it is a little difficult to work with the SQL text files in those Snaps because they do not have a lot of text editing capabilities. They do not allow you to add new lines or line breaks of any kind, so often I end up using another text editor and pasting long text snippets of SQL queries into the Snap. That is a little frustrating. In addition, I would say they are going through, or they might be at the end of, a pretty significant UI overhaul of their designer app, and there are still some issues occasionally or buggy behavior when you are dragging segments of pipelines around. Sometimes they collide or they think they are colliding when they do not appear to be visually. Other than that, every once in a while I have issues with their JavaScript expression library and what is allowed to be used there and how it evaluates or shows me previews of the results. There are occasional bugs there. Overall though, I have been impressed at how responsive their team is to our issues and they are really willing to hear our feedback and look for ways to improve.

I have been using SnapLogic for my entire time at my current company, so a little over one year.

SnapLogic is stable overall, as I know that they went through several back-end revamps a couple months ago. Probably in April, they were having some significant latency and downtime issues over the course of a few weeks. That is the only time that I have seen issues with stability on their side.

We have seen Snaplogic's platform handle significant load spikes without issue, however every once in a while we have a high enough load to take down our Cloudplex. When that happens it is usually able to spin up a new instance automatically very soon after and we don't see much of a drop in service.

The customer support from SnapLogic is definitely very impressive. I believe that we may be one of their bigger customers or one that they work with the most personally. We talk to their team quite often. They have been very responsive to feedback. They seek out our experiences with their new features and they walk us through their up-and-coming products, which is very rewarding. So far I have been very impressed with how responsive they are and how well they take feedback and they value my team's experience. I would rate the customer support from SnapLogic on a scale of 1 to 10 as nine out of 10.

Not applicable, my company chose Snaplogic before I was hired here.

Not applicable, my company chose Snaplogic before I was hired here.

Not applicable, my company chose Snaplogic before I was hired here.

I don't have access to much of the financial side of my company's decision on Snaplogic, but I know that we have occasionally looked at switching to another service but decided to stick with Snaplogic due to how useful it is for its value.

Not applicable, my company chose Snaplogic before I was hired here.

As far as I know, we have always been on SnapLogic since my company was founded. However, I know that my team also evaluated options in Azure and AWS. For example, AWS Glue was something that we looked at, and I believe they chose SnapLogic due to the extensiveness of features, the good support structure from their team, and pricing considerations were involved there too.

I would advise others looking into using SnapLogic that if you are looking for something that gives you a visual aspect at the cost of some more options, or more manual options that you could probably tweak if you were to use code instead of a visual solution, SnapLogic is very good at simplifying things and making it very visually clear what is happening with the data. There is a bit of a cost when it comes to debugging because you have to go through their validation flow and it can be a little slower than it might be on the code side to validate and test things. Obviously, they have a UI that abstracts away a lot of the details that you might have if you were to do it purely in code. However, that does make things simpler and faster in my opinion to build. It is really easy to repeat patterns and share things that work across different pipelines that you may have. It has definitely helped my team move faster in making a lot of our data transformation and extract processes simpler, faster, and easy to replicate and repeat across working cases. SnapLogic has been great for us. If that is an issue that your team is seeing, then SnapLogic would be a great solution for you to help you simplify things and make things faster.

I do not have any additional thoughts about SnapLogic before we wrap up, except that it looks as though a response about the business relationship with a vendor may have been skipped. As far as I know, we are only a customer of SnapLogic. I do not know of any partnership other than that. I am happy to be using SnapLogic and I look forward to their upcoming features and I look forward to working with them more in the future. I give SnapLogic an overall rating of 8 out of 10.

Private Cloud

Amazon Web Services (AWS)