SnapLogic

Regarding automation, there were multiple business requirements to automate processes, such as sales processes and finance data. They wanted to integrate with different systems and achieve accurate results with the reflection of accurate data into correct databases. In that way, we can use SnapLogic  to integrate and load; it is ETL, extract, load, and transform with different databases. With those databases, it will be really helpful to use SnapLogic , which will serve as the middleware tool to make it easy to transform data.

For deployment, we were raising requests to another team. They were creating solutions to make it happen with the help of Postman; we were adding details, and using the Postman tool, they were integrating or deploying in another environment.

The tool is very user-friendly and not complex to understand. The structure of the platform is easy to understand, and we can build multiple systems with low-code, no-code, so it doesn't require much coding language. Now it is moving more into APIs, so we can create APIs to transfer data, which we can manage. It's moving into AI, so we can create AI agents with LLM models. We can use most of the LLM such as Amazon Bedrock , OpenAI, Azure  AI. With those Snaps, we can integrate and move more into the AI world.

SnapLogic is hosted on Groundplex and AWS  cloud. It has pre-built connectors, which we call Snaps. That is very helpful to connect with multiple systems.

We have a dashboard monitor that is very graphical. We can measure exact times in seconds and how much time it took to complete the process. With that help, it's really helpful to see how much memory consumption is utilized. The monitor structure has very good features for SnapLogic.

SnapLogic is an integration tool which we use to integrate multiple systems such as source system, target system, cloud systems, and Groundplex systems. It is an iPaaS tool and a very strong tool. Now it is moving more into APIs and AI/ML tools; it is improving their knowledge. It is helpful for creating SnapLogic agents. In this way, SnapLogic is expanding their work.

In the future, SnapLogic can make connectors with LLM connectors which are available recently. They can work on that aspect. Sometimes those connectors have low performance or don't generate accurate results, so that can be improved.

I have been working with SnapLogic for three-plus years.

Recently, I haven't found any performance issues. Previously, a year or a year and a half back, sometimes it was lagging, meaning it was giving low performance. But recently, in a year, I haven't found many performance issues in SnapLogic.

SnapLogic is scalable.

They have a community channel for support if needed. Some SMEs are allotted for the organization, so in case of any issue, we have their email IDs to contact them for support, including SMEs and community.

Neutral

There was MOVEit , which was the old product. We migrated from MOVEit  to SnapLogic.

In MOVEit there were some security issues, and that product was taking a long time to respond, and the performance was very laggy. We decided to move to SnapLogic due to these security issues.

It was not straightforward. There were medium to complex kinds of integrations. Sometimes it is direct integration, and sometimes it has logics to make transformations. In some cases, we have scripts we need to run in SnapLogic to perform operations.

Regarding the transformation in SnapLogic, we can make complex query transformations, multiple logic, if-else statements, or any ternary operators; any transformation needed from source database or source system to target system. SnapLogic is really helpful to make that transformation with the help of connectors.

Previously, we were using other tools and observed their timing. When we migrated that logic to SnapLogic, we found a major difference compared to the old legacy tool. It is saving cost and time. SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.

I do not know the exact pricing.

It was not straightforward. There were medium to complex kinds of integrations. Sometimes it is direct integration, and sometimes it has logics to make transformations. In some cases, we have scripts we need to run in SnapLogic to perform operations.

I would consider SnapLogic, and I would suggest any other organization use SnapLogic because it's not just an ETL tool; it is also moving into data orchestration and AI. It is a very scalable product and highly recommended. I rate SnapLogic 8 out of 10.

I mainly use it for data integration and some API tasks.

I find the reusability and the snaps to be very valuable features. There are quite a lot of snaps that are pre-delivered and available for use. The level of control in terms of the granularity of process control is quite good. 

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.

I am quite happy with the solution and do not have specific requirements at the moment. I tend to frequently communicate with SnapLogic  to ask for additional features, and they have been responsive. While new features are always welcome, I do not have anything else at the top of my mind currently.

I have used the solution for three or four years.

I would rate customer service an eight and a half out of ten.

For me, the initial setup is simple. I have used both an on-premises solution and the platform-as-a-service option, and both are quite straightforward.

The setup cost would be four or five. There would be only one point of improvement if the price could be lower.

I considered MuleSoft and found SnapLogic  to be cheaper and their offering to be a lot less complex. There is not a lot of pricing, processing, the number of things, or other complicated aspects.

I can recommend SnapLogic to other users and the product overall. Overall product rating is nine out of ten.

I utilize SnapLogic  for data migration and data integration projects. I use it mainly as a middleware tool, working with a lot of SAP data. By transferring SAP data into more cost-effective databases, I can run analytics without the high cost associated with SAP provider analytics.

I find SnapLogic  to be user-friendly, especially for beginners with limited experience in data engineering or ETL. The interface is interactive, allowing me to quickly learn how to run pipelines and achieve production-ready results swiftly. This agility translates to cost savings, especially for smaller projects and proofs of concept, as less time and effort are needed to deliver results.

SnapLogic is doing well in evolving with the AI landscape. However, if the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial. 

Additionally, improving AI capabilities to be easily recognizable would enhance the user experience.

Although my use of SnapLogic has been intermittent, I have worked with it for close to seven years.

I would rate the stability of SnapLogic as nearly ten out of ten. It has shown to be robust and reliable.

I rate the scalability of SnapLogic as eight out of ten. While it performs well, there is some room for improvement in this area.

The technical support from SnapLogic is excellent, and I would give it a complete ten. They are prompt in responding to inquiries or issues, providing quick solutions.

Positive

I have used DBT along with Airflow  as part of our current cloud data integration.

The initial setup of SnapLogic has become very easy, comfortable, and swift.

SnapLogic is positioned at around seven or eight out of ten in terms of pricing. There are competitors offering competitive pricing in the market.

DBT is a main competitor of SnapLogic. For enterprise-level solutions, I prefer DBT, yet for smaller internal projects, SnapLogic is more efficient.

Overall, I would rate SnapLogic as nine out of ten. I recommend SnapLogic for other users due to its efficiency and user-friendly features. Medium and large-scale enterprises will benefit most from SnapLogic as small-scale businesses usually rely more on open-source options. I rated my overall experience with SnapLogic as nine out of ten.

In our company, we used the solution to build a SnapLogic pipeline in a non-production environment. Presently, our company is releasing it to the production environment. We have used SnapLogic in our organization for integrations. An EDI pipeline is built first, and then SnapLogic is utilized to convert EDI format to JSON and vice versa.  

Leveraging the internal systems in our company we are connecting to the SnapLogic API and sending the data, and then the converted files are obtained from SnapLogic.

The biggest issue we have faced in our company with SnapLogic is regarding the EDI format. For instance, suppose if 20 EDIs are shortlisted then SnapLogic will convert and provide only those specific 20 EDIs. If a new version of EDI arrives later or if there is a need to use a different existing EDI version, then you need to get back to SnapLogic and complete the setup before initiating the pipeline. 

I have been using SnapLogic for a year. 

I would rate the performance of the solution as two out of ten. 

Our company hasn't yet deployed the solution at the production end, so there are no active users. Due to its poor performance, our company is concerned about SnapLogic's scalability. Our organization adopted the solution's normal pipeline instead of the Ultra pipeline; the scalability of the normal pipeline is quite low. I would rate the solution's scalability as two out of ten.

When communicating about the issues with the support team, they recommend using the Ultra pipeline, but it's too late for our company now, they should have suggested it earlier. I would rate customer support a two out of ten. 

Negative

In our organization, we had an internal EDI platform developed using MapForce, but there were some drawbacks, so we shifted to SnapLogic. Before shifting to SnapLogic, our company also tried to use Jitterbit, but it wasn't suitable for us. 

After setting up the pipeline for SnapLogic in our company, we found multiple bugs when the conversion process was initiated. The deployment process of the solution was complex.

One of the partners of SnapLogic was assigned to our company to assist in setting up the conversion pipelines; we did not have a good experience with the partners, and they were not friendly or gracious. SnapLogic recommends that a third party assist with the deployment. In our organization, the entire deployment process, including the pipeline building, took more than a year. The vendor handles the maintenance of the solution. 

From the ROI perspective, the price is extremely high. I would rate the pricing as one out of ten. 

Presently, in our company, we are building an internal EDI conversion tool, we are planning to switch from SnapLogic to this internal product. 

In our company, we use the cloud version of SnapLogic as a SaaS platform, and additionally, Microsoft Azure is used as the cloud provider. 

If the EDI conversion pipelines had been built properly, we could have implemented the solution in three months. Our company had to wait a year for the product setup to be completed. Based on my experience, I would not recommend SnapLogic to others. I would overall rate SnapLogic as two out of ten. 

I work as a solution architect, mainly focusing on integrating new software entities. Due to a client's needs to evaluate products, SnapLogic was considered, and we conducted some Proof of Concepts and suggested its use.

So, our end customer is one of the medical equipment companies. They were looking for an integration solution, so we analyzed their requirements and determined what would best suit their business.

It is used for data integration projects. It is very efficient and quick, especially when compared to MuleSoft, which is a bit slower. SnapLogic had a good UI. The data we were dealing with was not extensive, so SnapLogic works well for our customers now in terms of usability and speed.

SnapLogic has the concept of pipelines, which is beneficial as it does not require much intervention from our end. If there are any minor changes needed, customers simply take a copy of the existing pipeline, customize it, and easily rebuild it. This feature is very useful for our customers.

Not much technical background is needed if we are working with SnapLogic. That is a good thing.

Coming from an integration background, it took me just one and a half months to understand it properly. However, someone new to the industry might need about three to four months to start building programs easily.

The best thing about SnapLogic is the connectors it offers and the support it provides to deal with the records. One use case involved fetching data from SAP ERP and sending it to Terradata. This process was a bit tricky with MuleSoft, but with SnapLogic, it was crisp and quick.  

Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.

It's for CSV transformation, which is comma-separated transformations.

The problem is that SnapLogic doesn't offer a wide variety of connectors. For example, integrating with Salesforce is not that easy, unlike with MuleSoft, which is much easier and also provides a development kit allowing developers to customize or create their own connectors. But SnapLogic lacks this feature.

So, it's not easily customizable.

For very complex integrations, like those involving 10 input systems and 20 output systems with a variety of data transformations, I wouldn't recommend SnapLogic. You will feel lost somewhere.

When dealing with such complex integrations, you often encounter issues managing large datasets. SnapLogic recommends breaking the process into smaller pieces and then deploying them, but sometimes, our requirements are different and require handling multiple systems simultaneously.

In future releases, I would like to see better customization. Currently, we have certain connectors, and if we need to build on top of those— tailor them more closely to our business needs—then customization becomes necessary. But here, that process is a bit tricky. I want it to be simpler.

I have been using it for two years. 

I would rate the stability nine out of ten.

It is a scalable product. I could easily manage it. So, I would rate it a nine out of ten.

We had enterprise businesses for SnapLogic. 

Some of my queries took some time to resolve, meaning we had to wait longer to get those answers.

Positive

I would rate my experience with the initial setup an eight out of ten, with ten being easy. It is not a ten because when someone is trying to develop it, it takes time to understand their own specific keywords. They're not very standard. Initially, it takes time to set it up, but once it's set up, it runs very smoothly.

I did it on a hybrid environment where the customer used their AWS.

The deployment part is very easy. I would rate it a nine point five out of ten, with ten being easy. It just takes minutes.

You just need to create the pipelines. You can have the same pipelines in different environments. You just change the environment, and it quickly takes the values and processes them. There's not much else to do.

I just evaluated the free version. Since SnapLogic started incorporating AI, particularly the AI version they're promoting, the price has gone up and is on the higher side. Although not much has changed, the cost has increased. However, when comparing it with solutions like Apigee or MuleSoft, it still offers better value.

So, it's still considered affordable.

I would recommend using it. Just understand the requirement. If you need to develop something quickly and it's not too complex, then definitely opt for SnapLogic.

Overall, I would rate the solution a nine out of ten.