SnapLogic

SnapLogic's main use case for our organization is product feed development and sending data to FTP sites.

For product feed development and data transfer to FTP, we have products that require sending metadata updates to our warehouse partners. We also have several pieces of data that need to be sent to FTP sites.

The best feature SnapLogic offers is the easy and quick drag-and-drop interface, which is quite helpful.

The drag-and-drop interface helps facilitate collaboration, as people can easily see what they need to integrate. SnapLogic is very user-friendly.

SnapLogic has positively impacted our organization as all my developers are very pleased with the product and how it works.

This satisfaction has translated into faster development times, as we can develop much quicker, which has really helped our team.

I believe SnapLogic's AI capabilities could be improved. I would appreciate general AI enhancements for SnapLogic.

Regarding SnapLogic's AI capabilities, the accuracy and reliability of output are generally working as expected, but I feel in some areas it can be improved to be more specific and help users better.

I chose a rating of seven out of ten because I feel SnapLogic's AI can be substantially better in this day and age. If the AI is improved, I would naturally give a higher score. I do not believe there are any other improvements SnapLogic needs besides the AI enhancements I mentioned.

I have been using SnapLogic on and off for about a year.

SnapLogic is stable, and I have not experienced any downtime or major issues.

SnapLogic's scalability is good, and I believe it can handle more workloads and more data easily.

The customer support for SnapLogic has been very positive. The times I have had to reach out, the response has been very quick, and I am very satisfied with that.

Previously, we used Python scripts, but we felt that using SnapLogic would be a better solution.

I have seen a return on investment as we can develop much faster, which has resulted in significant time savings.

The developer's time saved has been really beneficial.

My experience with pricing, setup cost, and licensing has been very positive.

Before choosing SnapLogic, we did not really evaluate other options.

We were using Python scripts and thought SnapLogic would be a better solution, which is why we chose it.

I would rate SnapLogic a seven out of ten.

My advice to others looking into using SnapLogic is to give it a try. I recommend taking advantage of a trial period to test it.

My main use case for SnapLogic is data integrations, automation, and data transformations.

A specific example of how I use SnapLogic for data integration and automation involves reading data from SharePoint and Salesforce, then dumping that data into Snowflake. While performing the data transfer, I conduct data integrity checks to ensure consistency, implement validations, maintain error pipelines with retries in place, and capture any errors through the error pipeline before sending them to DataDog.

SnapLogic is mostly used for integrations that connect from one platform to another, retrieve data, perform cleaning and transformation, and then push the data to the main data warehouse.

SnapLogic has positively impacted my organization by increasing developer efficiency. I do not have to invest significant time writing extensive Python code because SnapLogic offers pre-written snaps that improve development time rather than requiring engineers to write code from scratch. Tools such as SnapGPT enable me to create an initial pipeline by typing simple English, which generates a sketch that I can customize according to my needs. This increases efficiency and improves the development lifecycle by providing pre-designed patterns that eliminate the need for lengthy thinking, designing, and testing phases.

Before implementing SnapLogic, engineers spent approximately a week writing Python code for small integrations such as connecting to MongoDB, SQL, or Mongo Atlas, including design and coding phases. Now, engineers use pre-designed, pre-written snaps in SnapLogic by simply inputting credentials and connecting to infrastructure, whether cloud-based or on-premises. The difference is substantial.

SnapLogic's best features include UltraTask, which I rely on heavily. I have Kafka producers pushing messages to SnapLogic with a Kafka listener that picks up those messages, transforms them, and sends them to different tools such as Salesforce for marketing. This represents one of the best use cases for processing real-time data and events.

UltraTask and Kafka integration help my team daily through seamless integration. I previously experienced delays, but after adjusting settings with SnapLogic support, the integration improved significantly. SnapLogic now serves as the intermediate layer between Kafka and Salesforce Marketing Cloud, a role I previously lacked tooling for. SnapLogic captures Kafka events by listening through UltraTask, which runs continuously without stopping, and sends them to Salesforce Marketing Cloud. This allows my users and customers to access lounges, increasing business efficiency.

SnapLogic maintains good monitoring capabilities. The monitoring dashboard displays memory utilization, consumption levels during peak and off-peak times, and allows me to view granular details on charts to identify reasons for CPU utilization spikes. These monitoring features provide excellent control over my platform. I utilize a hybrid infrastructure and am not entirely reliant on cloud services. Additionally, I use SnapLogic's Private Link feature, which connects my internal tooling from the SnapLogic Cloud instance with CloudPlexes to my internal applications without passing through the public internet. This feature is particularly valuable for Snowflake.

Regarding SnapLogic's AI capabilities, I have not explored those features extensively. However, I have used SnapGPT, which performs very well in designing pipelines from scratch and analyzing existing pipelines. SnapGPT is a valuable tool for entry-level developers starting with SnapLogic, though I have not used it to an advanced extent.

Regarding improvements for SnapLogic, I observe that networking and security technology continue to evolve, but SnapLogic lacks the transit gateway feature. As an integration tool, SnapLogic should prioritize establishing newer networking features such as transit gateway and PNI so that users and businesses can reliably use them, particularly for organizations requiring everything within a private network.

Beyond transit gateway and networking improvements, I do not see other areas requiring immediate improvement at this time.

SnapLogic is a good integration tool that enables connections with different platforms and third parties. The drag and drop interface makes it easy to use, and the customer success management provides excellent support. Knowledgeable customer success managers in various regions facilitate easy onboarding and long-term utilization of SnapLogic. I rate SnapLogic an eight out of ten because transit gateway capabilities would enable me to move to a fully cloud-based infrastructure, and this feature represents the primary area for enhancement.

My main use case for SnapLogic is mostly for doing ETL processes, moving data from heterogeneous data sources into our organizational data warehouses and data stores.

A specific example of how I use SnapLogic for ETL in my organization is that we have various clients in the health industry that submit data to us for insurance and diagnostic reasons. We receive the data in various forms such as CSV files or text files, and I have SnapLogic pipelines that regularly check for these files to drop at certain particular times. I load them from their text files into our database warehouse, doing necessary transformations based on whatever specifications we have from the clients.

SnapLogic gives us a lot more ability to perform many transformations. In my transformations, I can write scripts in Python and other scripting languages. The snaps that I use are very useful. Special snaps can do certain things for you, which reduces the amount of coding you have to do, especially when you get to the transformation areas. The volumes, convenience, and software interface make it easier, particularly visually when mixing objects, tasks, and snaplets while working with code behind it.

SnapLogic has positively impacted my organization because it makes it easier to concentrate a lot of our ETL processes. Because of the diversity of data sources, we can process a lot of data from various clients that have different sources sending data to us. The fact that SnapLogic is hosted on AWS makes it very current and convenient to use.

I can share specific outcomes or metrics that show how SnapLogic has benefited my organization. Previously, I used other applications, and using SnapLogic allows me to connect to data sources, perform all the snaps needed to manipulate the data, write conversions and transformations, and connect and direct to data output. Some projects from the past, many years ago, required me to go through evaluating tables and sources. With SnapLogic, I have been able to complete projects in approximately four times less time than I used to.

The best features SnapLogic offers are its interface and the snaps available for various functions.

The interface makes it stand out for me. I can look at the selection menu where I can pick specialized snaps and join them together. The Intellisense available and the snap environment that allows automatically picking snaplets to put them together are impressive. Recently, with ChatGPT making good suggestions based on how I want to build my ETL process, those features are useful. I can visually see the progression of my solution as I go along, which is helpful.

The features are good enough, and the representation and the way the various things one would want to do are designed is excellent. I have the designer interface, then the monitor interface, and then the administrative interface where I deal with users and roles. The design is very well separated out, so I know which area I am in and what I am doing. What is put on the canvas in front of me as I work on those objects, whether building a pipeline or working on user configurations, makes the interface environment pretty easy and intuitive.

One of the things I notice with the new interfaces is that a lot of functionality is condensed into the available windows where we work. I would like to spread them out a little bit so developers do not get overwhelmed during development. When too many things are in the window, for example when I am monitoring processes and looking at the various pipelines, there is small real estate and a lot of information that I have to look at in order to figure out where my sources are, where my targets are, and what pipelines are running. There is so much information condensed that sometimes I do not have enough room to actually look at the IDs of some of the objects I am using because the space available in the design does not allow the whole label or significant portion of the label to be displayed. Not condensing too much information into the application editor where developers work would be a good thing. Splitting them up into smaller interfaces so one could easily move from one to the other and not be confused or overwhelmed with the development information available would be beneficial.

At the moment, those are the things that I have noticed that probably, when improved, could change the experience of development.

I have been using SnapLogic for the past ten years.

I would rate SnapLogic overall as a nine out of ten. I give it a nine because I am able to do all my ETL processes conveniently and better than I used to do in the past ten to fifteen years ago. The technology has improved a lot and is basically good.

Regarding SnapLogic's AI capabilities, I think governance and security are handled well as my organization takes care of it. One of the key concerns is if data leaves my environment, my garden environment with proprietary data, and gets into the outer world where AI can use it for whatever reasons, since not everybody out there has good intentions. I am a bit concerned about data going beyond the walls of my organization and being used for whatever reason. I leave the governance to my organization who takes care of it and makes sure that people stick within the limits of what they are supposed to do and do not mistakenly let data seep out of our organization where other agents or AI agents can take care of it and run off with it.

Regarding SnapLogic's AI capabilities, I think the accuracy and reliability of output are fair and close to almost accurate. I believe it all depends on how good or how well I prime it and the questions I put to it. For the simple tasks I have been doing and solutions I am looking for, I am usually able to prime it properly and I do get very accurate answers back with minimal changes for me to achieve my objectives. I would say it is close to pretty accurate.

I would advise others looking into using SnapLogic to give it a try. My overall rating for SnapLogic is nine out of ten.

SnapGPT and those AI insights help our team immensely, particularly since we have over 500 developers who use SnapLogic Intelligent Integration Platform (IIP) within our organization. Our developers use SnapGPT for expressions, building pipelines, pipeline reviews, documentation, and more.

SnapLogic Intelligent Integration Platform (IIP) is our primary ETL tool that we utilize within Prime for a lot of integrations.

After migrating from Informatica to SnapLogic Intelligent Integration Platform (IIP), we have seen specific outcomes, including saving almost 2 million dollars from one of our migration projects. Efficient use of SnapLogic Intelligent Integration Platform (IIP) has reduced our timelines, enabling us to develop our projects rapidly and save countless man-hours. We are also saving significantly on support, as we do not need a lot of assistance to maintain the platforms and pipelines.

SnapLogic Intelligent Integration Platform (IIP) has a user interface built on HTML5, making the designer very easy to use for all users. They can log into SnapLogic Intelligent Integration Platform (IIP), drag and drop the Snaps to connect their data or target systems or source systems, develop the pipelines, and then deploy them.

SnapLogic Intelligent Integration Platform (IIP) has the best security embedded within the tool, adhering to the highest security standards. Based on our extensive use of SnapLogic Intelligent Integration Platform (IIP), we rely heavily on this platform, and security-wise, they are really strong, adhering to best practices and the latest security protocols.

For any users looking to try SnapLogic Intelligent Integration Platform (IIP) for their ETL solutions or API solutions, I recommend choosing SnapLogic Intelligent Integration Platform (IIP) as their preferred tool. I rate SnapLogic Intelligent Integration Platform (IIP) a seven based on our extensive use of this platform over quite a while, which reflects all the use cases we have developed for the many integrations we have established, and I really love using this product on a day-to-day basis.

My main use case for SnapLogic is creating pipelines for data migration projects.

A specific example of a pipeline I have built for a data migration project is when we have our old product in a different technology that we are moving to the new product. For that, we are moving the data from SQL to the Next Gen SQL database. We are creating pipelines through which we are moving the data from the old product to the new product.

As of now, we are only using SnapLogic for data migration projects.

SnapLogic has positively impacted my organization in terms of revenue and customer satisfaction.

The faster delivery is one significant point, and our customers were very happy. Earlier, we used other tools that took around a year, and because of SnapLogic, we were able to complete tasks within months, so they were very satisfied with this tool.

The best features SnapLogic offers include various Snaps we use, such as Get, Get Post, and error handling, which is a very good feature. Error handling allows us to easily identify if we have any errors in our migration pipelines.

The error handling feature has helped me during my migrations because when we moved a lot of data, we opened our error log and could easily identify all the areas that had errors, which was very helpful for us in resolving the issues.

There are many features that are truly helpful, including Union, Joins, and various Snaps, so everything is very useful based on our project, and it really helps us speed up our work.

Regarding SnapLogic's governance and security capabilities, I think they are very good compared to others; there is no doubt about security, as it is a very good tool for security.

As for SnapLogic's AI capabilities regarding accuracy and reliability of output, I can say we currently have eighty percent reliability and accuracy, which I think is good, and it would be better if we could improve more, but currently it is eighty percent from my perspective.

Although SnapLogic is already a very good tool, it can be improved by making the GUI part, particularly the user interface, more usable, which would be more helpful for users.

Apart from that, I think it is fine and good, and once we use it more, I will provide feedback on other things as well.

As of now, I do not have any other improvements for SnapLogic that come to mind, but once I think of something, I will surely update.

I have been using SnapLogic for the past one year.

SnapLogic is very stable.

SnapLogic's scalability is excellent; we can easily scale, and it is straightforward to do so.

The customer support is very good; we can easily access the support team on demand whenever we need help, and they are helpful.

I would rate the customer support ten out of ten.

I previously used a different solution, specifically the SSIS tool, which is a Microsoft tool, and now we have switched to SnapLogic.

I have seen a return on investment; although I do not have specific numbers, we saved time by completing tasks in months instead of years, which indicates that if we saved time, we obviously saved money too.

My experience with pricing, setup cost, and licensing is such that as a developer, we are not aware of much of these things; we are more focused on the technical side.

Before choosing SnapLogic, we evaluated other options such as Azure Data Factory and AWS Glue, and ultimately we found SnapLogic very helpful, so we opted for that one.

My advice to others looking into using SnapLogic is to switch to this tool, explore various features, and it will be helpful; it is a good tool for them to choose. I would rate SnapLogic an eight out of ten.