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API StatusChangelog
SnapLogic
BySnapLogicSnapLogic

SnapLogic

#217in API Tools
Stacks11Discussions1
Followers18
OverviewDiscussions1

What is SnapLogic?

It provides data and application integration tools for connecting Cloud data sources, SaaS applications and on-premise business applications.

SnapLogic is a tool in the API Tools category of a tech stack.

Key Features

Customer Experience/CRMCloud Data WarehousingFinance & AccountingHuman Capital ManagementBig Data

SnapLogic Pros & Cons

Pros of SnapLogic

No pros listed yet.

Cons of SnapLogic

No cons listed yet.

SnapLogic Alternatives & Comparisons

What are some alternatives to SnapLogic?

Azure Logic Apps

Azure Logic Apps

It is a leading integration platform as a service (iPaaS) built on a containerized runtime. Deploy and run Logic Apps anywhere to increase scale and portability while automating business-critical workflows anywhere.

Application Integration

Application Integration

It is an Integration-Platform-as-a-Service (iPaaS) solution in Google Cloud that offers a comprehensive set of core integration tools to connect and manage the multitude of applications and data required to support various business operations.

Jetic

Jetic

It is a cloud-native API & integration platform based on Apache Camel. An iPaaS solution for avoiding costly vendor lock-ins and regaining command of your development - without any drawbacks.

SnapLogic Integrations

Microsoft Dynamics 365, Eloqua, Oracle, Tableau, Snowflake and 1 more are some of the popular tools that integrate with SnapLogic. Here's a list of all 6 tools that integrate with SnapLogic.

Microsoft Dynamics 365
Microsoft Dynamics 365
Eloqua
Eloqua
Oracle
Oracle
Tableau
Tableau
Snowflake
Snowflake
Amazon Redshift
Amazon Redshift

SnapLogic Discussions

Discover why developers choose SnapLogic. Read real-world technical decisions and stack choices from the StackShare community.

Mohanapriya R
Mohanapriya R

Nov 3, 2022

Needs adviceonSnapLogicSnapLogicTalendTalend

SnapLogic Vs Talend: Which one to choose when you have a lot of transformation logic to be used huge volume of data load on everyday basis.

. better monitor & support . better performance . easy coding

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