SnapLogic Reviews and Ratings

Use Cases and Deployment Scope

We purchased this product to:

- Reduce time to market.

- Improve business process agility.

- Improve business process outcomes.

- Drive innovation.

- Create internal/operational efficiencies.

Likelihood to Recommend

SnapLogic has worked really well for us because it has offered complete flexibility to integrate against a diverse systems landscape. As we opted for the fully managed option (with Cloudplexes) it was easy to set up and maintain. It is also relatively easy to use resulting in low barrier to entry for new users - my team of data engineers was able to start up and delivery quickly.

Use Cases and Deployment Scope

We built data integration pipelines from S3 to Redshift, DynamoDB to Redshift, MSSQL AWS RDS to Redshift, as well as SQS queue systems. Generally, these were Change Data Capture solutions. In other work, we also moved data from Redshift to external services like sales, HR, and operational systems: Salesforce, SAP, Acqeon, etc. SnapLogic has helped our organization centralize and consolidate our data in a unified way under a single framework.

Likelihood to Recommend

Well suited for incrementally moving data between systems. As for the movement of big data, SnapLogic expects you to delegate this to EMR or some sort of external spark executor, this should be kept in mind for the ETL of large amounts of data; however, working database tables works just fine.

Use Cases and Deployment Scope

Snaplogic is the core product that we use to move data from various sources, whether on-premise or in the cloud, to our data lake in Snowflake. Its use is expanding company-wide from engineering to finance and sales operations. This can be attributed to Snaplogic's graphical user interface which uses a jigsaw puzzle metaphor and makes the product accessible to business users as well as engineers. Snaplogic provides the monitoring and logging tools that allow us to track all data movement in one central location. A major selling point that distinguishes Snaplogic from many competitors is the availability of an on-premise node called a Groundplex as well as a cloud-based node called a Cloudplex. This hybrid configuration precludes the need to punch holes in the firewall and keeps sensitive data inside.

Likelihood to Recommend

Snaplogic is unique from other IPASS tools if you're very sensitive about data security as they have an on-premise option where your data never needs to leave your data center. And data pipelines can be quickly created if Snaplogic has the requisite connector to your data sources. On the downside, if you're transforming a large amount of data for example in training machine learning models, a tool with elastic compute capability is more appropriate.

Use Cases and Deployment Scope

RedEye leverages SnapLogics technology to help streamline our workloads. Our engineers can rapidly prototype bespoke client integrations, this saves us crucial development and increases our speed of delivery.

Likelihood to Recommend

As a configuration as a code tool, SnapLogic stands up very well in this space. It has plentiful integrations and generic ones which allow you to bridge the gap when you find there isn't a handcrafted pack already available, in essence, there's always a way to achieve what you're trying to do.

Use Cases and Deployment Scope

We use Snaplogic for integrating ERP to EPM Tool really helped us on solving performance issues Tool is developer-friendly We are going to build an E-Commerce integration platform using Snaplogic. Real-time

Likelihood to Recommend

It has huge connectivity with multiple source systems We can improve the product by providing some templates on connectivity Whitepapers on various ERP connectors

Use Cases and Deployment Scope

We use SnapLogic as the firm's main data integration platform, with all the main systems connected to each other via SnapLogic. We had various types of data sources within our organization (files stored on networks, SQL databases, APIs) which needed to be centralized and exposed to other consumer applications and SnapLogic was the solution that made this possible in a very robust and flexible way. A truly iPaaS product, SnapLogic allows us to connect data endpoints with ease, in a very logical and functional way.

Likelihood to Recommend

SnapLogic is suitable for environments where the data sources are of mixed type (SQL, File, API) and you need fast and easy integration between systems using those data sources. SnapLogic is not suitable when dealing with very complex and specific data transformations where a lot of coding is required. Their scripting functionality is limited.

Use Cases and Deployment Scope

SnapLogic is used in our organization to integrate Product Master Data with various systems and with a Kafka implementation in between. The biggest problem solved by SnapLogic is the ability to put many different endpoints speaking to each other with the correct format of the data and on a Streaming basis instead of a Batch basis.

Likelihood to Recommend

For an environment with many different endpoints, some on-prem and some on the cloud, SnapLogic really helps in bringing all of them together and integrating their data. It also behaves well with large volumes of data and can be a great addition to a Streaming Platform such as Kafka. Perhaps not so appropriate for small scope use-cases.

Use Cases and Deployment Scope

We use SnapLogic for data process and management. It is a key piece of software to integrate third-party software between each other and/or into our homebuilt software.

Likelihood to Recommend

We have tried other tools and no one is as good as snapLogic. It is easy to understand and to use. And it does very well, what it is supposed to do. When you get into more edge cases it can be a little bit frustrating. But even in those cases, support is great and it will give you all to fix your issue.

Use Cases and Deployment Scope

Snaplogic was brought in during our migration from Oracle Ebiz on Prem to Oracle HCM cloud. During that same time, we also implemented Okta with custom IDM hooks to both Oracle HCM and Ellucian Banner. We had a spaghetti integration structure, integrations all over the place and not well monitored. We have since implemented Snaplogic and are now seeing significant ROI on our integrations as well as begun to develop in-house APIs for use across the campus. We are looking to expand the platform into Data Warehousing in the coming year or two.

Likelihood to Recommend

Snaplogic has the BEST pricing model in the industry. There are no excessive "end-point" pricing or # of API call-only pricing models. They allow for on-premise hosting of their Nodes, which gives us the flexibility t expand endpoints and API calls without massive budget overruns. They listen to their customers and meet with us monthly to go over release notes AND ask for feedback/issues/tickets we have faced in the last month to address them. I've never seen another vendor do this in my 25 years of IT. The Snaplogic UI has a steep learning curve and its UI isn't the best. It's not as easy as say a Tray.io or Zapier but it is much more fully-featured. Snaplogic realized their gap and has since released Snaplogic Flows (Zapier, point, and click) integrations.

Use Cases and Deployment Scope

SnapLogic has been an integral part of our company's digital transformation from an on-prem solution to a SaaS model. Our engineering teams use SnapLogic to unify our new services to existing services and data/tables to ensure that our customer experience is optimal from a data pull capability perspective, as well as the efficiency of the load times and service calls as we continue to prioritize our roadmaps. Overall, SnapLogic has let us innovate at speed as we grow and support our existing and new customers with existing and new services.

Likelihood to Recommend

Ability to tie in legacy data tables and services with new, more modern data storage and micro-services for companies that are transforming their model and need to support existing and new customers.