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Snaplogic is a cloud integration platform from the company of the same name in San Mateo, California.https://dudodiprj2sv7.cloudfront.net/product-logos/Ps/cP/CIZC0K3VGCER.JPEGSnapLogic makes complex ETL fast and easyWe use SnapLogic in the engineering department. My team, the data engineering team, is the primary user of SnapLogic. SnapLogic allows us to load in data from all of our external sources into a single source, our datamart, which we then use for business analysis.,SnapLogic is great at connecting quickly to an external source. SnapLogic is great at building complex logic into ETL pipelines SnapLogic is great at connecting to many different external sources and bringing the data together into a single source,SnapLogic has many UI weaknesses that make working in it daily pretty frustrating SnapLogic has trouble connecting to certain external sources that it has specific snaps for which is frustrating SnapLogic has a hard time abstracting out complex pipelines in order to reuse them without having to copy and paste,8,SnapLogic has provided us with a fast and reliable way to load in data from many external sources into a single data warehouse. We leverage this data across the company to make key business decisions,Business Objects SRC,Tableau Server, MySQL, Sublime TextSnapLogic: New Era of ETLWe are using Sisense as an ETL tool to extract, transform and load. It is connected to many source systems and we are pulling the data to the data warehouse. Using REST API, data can be fetched then transformed using a simple pipeline. Complex flows are creating using multiple pipelines. Whole data can be placed at one place in the warehouse from multiple sources using Snaplogic.,Easy pipeline with simple drag and drop snaps to do the transforming Creating SCD has become easier than any other tool Scheduling tasks are also easier with Snaplogic Using rest API other tools/services can be integrated Cheap and easily install-able,Instability of the tool as we can face some unknown issues randomly. It's difficult to find more flaws as it's way easier to handle.,7,It's solving a business need, transforming data to DWH. No negative impact as it's running fine and upgrades are available.,Informatica Application ILM,Informatica Application ILMSnapLogic vs Informatica - which one is better?Snaplogic is being used within the BI team as well as other teams to integrate data from different applications.,Easy to complete data integration for a non-tach-savvy person. Cheaper than other established data integration products such as Informatica, Talend etc... Not much maintenance headache as this is both a platform as a service, as well as software as a service.,Complex re-usable components are difficult to implement. Although nested pipelines exist, you have to pass all the parameters and configure them each time. If there is complex business logic during data transformation, SnapLogic forces you to use a lot of scripts. This way anyone can lose the readability and maintainability of the code of any ETL tool. Parallel processing of data (multi-thread) is not easy to implement. Not well integrated with the AWS environment. For instance, it does not support KMS encryption. With newer tools coming up in the AWS /AZURE environments, SnapLogic is not able to quickly come up with integration tools to compensate.,5,SnapLogic cannot solve business problems and you still need a technical person to solve the complex integration issues. Our business bought SnapLogic thinking this could replace our current ETL tools such as Informatica. But SnapLogic falls short in a lot of features when compared to Informatica. Later our business decided not to replace Informatica. SnapLogic promised to solve big data integration problems, but we did not find a suitable solution that can solve our problems of data integration using SnapLogic (for instance, it could not parse parquet nested file).,SQL Server Integration Services and Informatica Enterprise Data Integration,Amazon Redshift, Informatica Cloud, AWS LambdaSnapLogic - the New Big Boss in TownSnapLogic is being used by our data engineering and few of our application teams, primarily for data integration, extraction, transformation and loading of data from different source systems into our data lake. We also use it across our finance, marketing and business operations use cases/projects. It basically addresses our use cases of data ingestion from various sources (business, learning, 3rd party, SaaS providers, etc) and helps our BI and analytics team focus on outcome and operational reporting than worry about data access, accuracy and compliance. It also helps to securely transmit data between applications for few of our near-real time use cases. We have recently started to test it for our ML use cases as well.,Easy access to any type of source system. Data could be in any format. Very beautiful visual representation of transforms that makes it super easy to use it by any non developer. It can be run in cloud or on-premise. helping you choose your comfort of security. Has pretty good customer support and have recently started their community forum as well.,One of the biggest challenges we have had is some of their snaps tend to be slow when the data volume is large. Utilizing native bulk capabilities by working with vendors directly could help them in this space. Depending on your use case, scaling it for enterprise could be expensive proposition in the long term so think what your use case and who your consumers are of this tool.,9,We had a positive impact at our organization where handful of developers were able to integrate more than 50 systems in less than a year. It has helped us a lot by providing access to data that was previously not possible or unimaginable or get in such easy format. The only place where it didn't have a positive impact was for a realtime application integration project requiring on the fly aggregations, wherein this tool claimed it could do it but wasn't able to.,Informatica Enterprise Data Integration, Birst and Talend Data Integration,Tableau Server, AWS Lambda, MongoDBSeeker of KnowledgeWe currently use SnapLogic in our apps department. We are constructing a new database for reporting purposes and all the data flows are being implemented (as of now) using SnapLogic. The data flows are sourced from Workday and other internal databases. We also use Snaplogic for extracting data from MongoDB, sending data extracts to external SFTP sites, etc.,Their customer service response time is brilliant. SFTP tasks do a great job in reading the file directly from the server, instead of having to download it and then read it. Tasks expose the ability to run them using external job schedulers. Once you have a server up, setting up SnapLogic service does not take long. They have good documentation and customer support too.,They need to have a way to connect to GitHub to allow the users to maintain their version control in GitHub. This is a missing functionality. As pipelines become complex, it's difficult to have all the snaps stitched together - just like to see it done differently. They do not have a way to start/stop a preview. This is hard to use, especially if you have to stop an accidental preview invocation.,7,Positive Impact - allows us to reach out to webservices and third party vendor's APIs. Positive Impact - allows us to have different ETL environments, all in the cloud. Negative impact - Has a good learning curve and not many online tutorials. So users have to spend time playing around before understanding how to do things.,Dell Boomi API Management, Informatica Cloud Data Integration and Pentaho,Microsoft SQL Server, GitHub, Slack
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SnapLogic
11 Ratings
Score 7.6 out of 101
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SnapLogic Reviews

SnapLogic
11 Ratings
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Score 7.6 out of 101
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Reviews (1-6 of 6)

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Jacob Rasmussen profile photo
January 23, 2019

Review: "SnapLogic makes complex ETL fast and easy"

Score 8 out of 10
Vetted Review
Verified User
Review Source
We use SnapLogic in the engineering department. My team, the data engineering team, is the primary user of SnapLogic. SnapLogic allows us to load in data from all of our external sources into a single source, our datamart, which we then use for business analysis.
  • SnapLogic is great at connecting quickly to an external source.
  • SnapLogic is great at building complex logic into ETL pipelines
  • SnapLogic is great at connecting to many different external sources and bringing the data together into a single source
  • SnapLogic has many UI weaknesses that make working in it daily pretty frustrating
  • SnapLogic has trouble connecting to certain external sources that it has specific snaps for which is frustrating
  • SnapLogic has a hard time abstracting out complex pipelines in order to reuse them without having to copy and paste
SnapLogic is well suited for business analysts or engineers who are looking for a fast and easy way to load in data from external sources. It is not great for real-time updates to large datasets or for large rebuilds of data. It is not great for abstracting out a process that you want to reuse in many different scenarios.
Read Jacob Rasmussen's full review
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February 23, 2019

User Review: "SnapLogic: New Era of ETL"

Score 7 out of 10
Vetted Review
Verified User
Review Source
We are using Sisense as an ETL tool to extract, transform and load. It is connected to many source systems and we are pulling the data to the data warehouse. Using REST API, data can be fetched then transformed using a simple pipeline. Complex flows are creating using multiple pipelines. Whole data can be placed at one place in the warehouse from multiple sources using Snaplogic.
  • Easy pipeline with simple drag and drop snaps to do the transforming
  • Creating SCD has become easier than any other tool
  • Scheduling tasks are also easier with Snaplogic
  • Using rest API other tools/services can be integrated
  • Cheap and easily install-able
  • Instability of the tool as we can face some unknown issues randomly.
  • It's difficult to find more flaws as it's way easier to handle.
Snaplogic is best suited for ETL purposes, loading large chunks of data in an easy way. It is easy to install. For small scale industries, it is an appropriate tool, as it costs very little. It is less suited for complex transforming. For medium to large scale organizations, it has some functionality constraints.
Read this authenticated review
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February 21, 2019

Review: "SnapLogic vs Informatica - which one is better?"

Score 5 out of 10
Vetted Review
Verified User
Review Source
Snaplogic is being used within the BI team as well as other teams to integrate data from different applications.
  • Easy to complete data integration for a non-tach-savvy person.
  • Cheaper than other established data integration products such as Informatica, Talend etc...
  • Not much maintenance headache as this is both a platform as a service, as well as software as a service.
  • Complex re-usable components are difficult to implement. Although nested pipelines exist, you have to pass all the parameters and configure them each time. If there is complex business logic during data transformation, SnapLogic forces you to use a lot of scripts. This way anyone can lose the readability and maintainability of the code of any ETL tool.
  • Parallel processing of data (multi-thread) is not easy to implement.
  • Not well integrated with the AWS environment. For instance, it does not support KMS encryption. With newer tools coming up in the AWS /AZURE environments, SnapLogic is not able to quickly come up with integration tools to compensate.
Our finance team is doing integration with the billing systems, and some of our non-tech-savvy team is doing the SnapLogic integration. I will recommend using SnapLogic. However, if there is a BI team doing data warehouse, I would not recommend using SnapLogic as the sole data integration tool.
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August 09, 2018

User Review: "SnapLogic - the New Big Boss in Town"

Score 9 out of 10
Vetted Review
Verified User
Review Source
SnapLogic is being used by our data engineering and few of our application teams, primarily for data integration, extraction, transformation and loading of data from different source systems into our data lake. We also use it across our finance, marketing and business operations use cases/projects. It basically addresses our use cases of data ingestion from various sources (business, learning, 3rd party, SaaS providers, etc) and helps our BI and analytics team focus on outcome and operational reporting than worry about data access, accuracy and compliance. It also helps to securely transmit data between applications for few of our near-real time use cases. We have recently started to test it for our ML use cases as well.
  • Easy access to any type of source system. Data could be in any format.
  • Very beautiful visual representation of transforms that makes it super easy to use it by any non developer.
  • It can be run in cloud or on-premise. helping you choose your comfort of security.
  • Has pretty good customer support and have recently started their community forum as well.
  • One of the biggest challenges we have had is some of their snaps tend to be slow when the data volume is large. Utilizing native bulk capabilities by working with vendors directly could help them in this space.
  • Depending on your use case, scaling it for enterprise could be expensive proposition in the long term so think what your use case and who your consumers are of this tool.
SnapLogic is well suited for data integration across varied sources by non developers or semi developers when access to certain data is more important than the whole system itself. Using it for creating data warehouses is a bit challenging and time consuming proposition using this tool.
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July 28, 2017

SnapLogic Review: "Seeker of Knowledge"

Score 7 out of 10
Vetted Review
Verified User
Review Source
We currently use SnapLogic in our apps department. We are constructing a new database for reporting purposes and all the data flows are being implemented (as of now) using SnapLogic. The data flows are sourced from Workday and other internal databases. We also use Snaplogic for extracting data from MongoDB, sending data extracts to external SFTP sites, etc.
  • Their customer service response time is brilliant.
  • SFTP tasks do a great job in reading the file directly from the server, instead of having to download it and then read it.
  • Tasks expose the ability to run them using external job schedulers.
  • Once you have a server up, setting up SnapLogic service does not take long. They have good documentation and customer support too.
  • They need to have a way to connect to GitHub to allow the users to maintain their version control in GitHub. This is a missing functionality.
  • As pipelines become complex, it's difficult to have all the snaps stitched together - just like to see it done differently.
  • They do not have a way to start/stop a preview. This is hard to use, especially if you have to stop an accidental preview invocation.
Snaplogic is well suited for almost every data flow. They also have snaps to connect to various third-party vendors - which allows you to talk directly to the vendor's API. Snaplogic is less suited for data blending as it requires many snaps. It's not that it's not doable, it's just that the pipeline gets filled with a lot of snaps and can look complex.
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December 18, 2015

"SnapLogic review for use in Cloud systems"

Score 9 out of 10
Vetted Review
Verified User
Review Source
We utilized SnapLogic to facilitate the automation of data movement between two cloud systems. This allowed us to create scheduling of data movement that optimized our processes.
  • Data movement in cloud based systems
  • Automation and scheduling of tasks
  • Data transformation
  • Training and video tutorials
  • Better on screen error messages
SnapLogic is very well suited for cloud platforms and I recommend it whenever you need to do data movement between two cloud systems.
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SnapLogic Scorecard Summary

Feature Scorecard Summary

Pre-built connectors (6)
8.3
Connector modification (4)
6.0
Support for real-time and batch integration (6)
7.0
Data quality services (5)
5.0
Data security features (5)
6.5
Monitoring console (6)
7.5

About SnapLogic

SnapLogic supports self-service integration. The company’s Enterprise Integration Cloud promises to make it fast and easy to connect applications, data, APIs, and things. The vendor says that hundreds of Global 2000 customers — including Adobe, AstraZeneca, Box, GameStop, Verizon, and Wendy’s — use SnapLogic to automate business processes, accelerate analytics, and drive digital transformation. SnapLogic was founded by data industry veteran Gaurav Dhillon and is backed by blue-chip investors including Andreessen Horowitz, Capital One, Ignition Partners, Microsoft, Triangle Peak Partners, and Vitruvian Partners.

SnapLogic Features

Cloud Data Integration Features
Has featurePre-built connectors
Has featureConnector modification
Has featureSupport for real-time and batch integration
Has featureData quality services
Has featureData security features
Has featureMonitoring console

SnapLogic Screenshots

SnapLogic Integrations

We have over 450 prebuilt connectors (Snaps) to 3rd party software, with the option to create your own Snaps.

SnapLogic Competitors

Pricing

Has featureFree Trial Available?Yes
Does not have featureFree or Freemium Version Available?No
Has featurePremium Consulting/Integration Services Available?Yes
Entry-level set up fee?Optional

SnapLogic Support Options

 Free VersionPaid Version
Email
Forum/Community
FAQ/Knowledgebase
Social Media
Video Tutorials / Webinar
Phone
Live Chat

SnapLogic Technical Details

Deployment Types:SaaS
Operating Systems: Unspecified
Mobile Application:No