SnapLogic

Overview

SnapLogic offers an Integration Platform as a Service (iPaaS) that facilitates the connection of disparate applications, data sources, and APIs across an enterprise's IT landscape. Launched in 2006, the platform is designed to address the complexities of modern integration, particularly in hybrid and multi-cloud environments. Its core offering, the SnapLogic Intelligent Integration Platform, provides a visual, drag-and-drop interface that abstracts much of the underlying coding required for data and application integration.

The platform's architecture is built around 'Snaps,' which are pre-built connectors for various applications, databases, and technologies, enabling users to create integration pipelines without extensive manual coding. This approach supports a range of integration patterns, including application-to-application (A2A), business-to-business (B2B), cloud data warehousing, and API management. SnapLogic aims to serve both professional developers and 'citizen integrators'—business users who need to connect systems but may lack deep coding expertise. Its AI-powered capabilities, including SnapLogic AI Integration and Generative Integration, introduce automation and intelligent recommendations to streamline the integration development process.

SnapLogic is positioned for organizations requiring robust, scalable integration solutions for large-scale data migration, synchronization, and real-time data flow. Its capabilities extend to managing the full API lifecycle, from design and publishing to security and monitoring. The platform's compliance certifications, such as SOC 2 Type II, GDPR, and HIPAA, indicate its suitability for handling sensitive enterprise data and meeting regulatory requirements SnapLogic Compliance Overview. The focus on hybrid cloud integration reflects the common enterprise need to connect on-premises legacy systems with various cloud services.

Key features

• Intelligent Integration Platform (IIP): A cloud-native platform for connecting enterprise applications, data, and APIs with a visual development environment.
• Snaps and Pipelines: Pre-built connectors (Snaps) for various endpoints that can be chained together in pipelines to define data flows and integration logic.
• API Management: Tools for designing, publishing, securing, and monitoring APIs, enabling external access to enterprise data and services.
• Data Integration: Capabilities for moving, transforming, and synchronizing data across databases, data warehouses, data lakes, and other data sources.
• Application Integration: Connects disparate enterprise applications (SaaS and on-premises) to automate business processes.
• AI Integration: Utilizes artificial intelligence and machine learning to provide intelligent recommendations for building integrations, automating tasks, and optimizing performance.
• Generative Integration: Leverages generative AI to assist in creating integration pipelines and accelerating development.
• Hybrid Connectivity: Supports secure connections between cloud applications and on-premises systems without requiring complex network configurations.
• Compliance and Security: Adheres to standards such as SOC 2 Type II, GDPR, HIPAA, CCPA, and ISO 27001 for data security and privacy.
• Self-Service Integration: Designed to enable both IT professionals and business users (citizen integrators) to build and manage integrations.

Pricing

SnapLogic operates on a custom enterprise pricing model. Specific pricing details are not publicly listed but are typically determined based on factors such as usage volume, number of connections, data throughput, and specific feature sets required by an organization.

Common integrations

SnapLogic provides a wide array of pre-built connectors, known as Snaps, for integrating with various enterprise applications, databases, and platforms. A comprehensive list is available in the SnapLogic Snaps Documentation. Common integration categories include:

• CRM Systems: Salesforce, Microsoft Dynamics 365, HubSpot, Zoho CRM
• ERP Systems: SAP, Oracle E-Business Suite, Workday, NetSuite
• Cloud Data Warehouses/Lakes: Snowflake, Databricks, Amazon S3, Google BigQuery, Microsoft Azure Data Lake Storage
• Databases: Oracle Database, Microsoft SQL Server, MySQL, PostgreSQL, MongoDB
• Marketing Automation: Marketo, Pardot, HubSpot Marketing Hub
• Productivity & Collaboration: Microsoft 365, Google Workspace, ServiceNow, Zendesk
• API & Messaging: REST, SOAP, Kafka, JMS
• Storage & File Systems: Amazon S3, Azure Blob Storage, Google Cloud Storage, SFTP

Alternatives

• MuleSoft Anypoint Platform: An integration platform that provides API-led connectivity to create a network of applications, data, and devices, offering extensive API management and integration capabilities MuleSoft Homepage.
• Boomi (formerly Dell Boomi): A cloud-native iPaaS with capabilities for application integration, data integration, API management, and master data management.
• Informatica Intelligent Data Management Cloud (IDMC): Offers a comprehensive suite of data management services, including data integration, data quality, data governance, and master data management, often utilized in large-scale data warehousing projects.
• Microsoft Azure Integration Services: A collection of Azure services including Logic Apps, Service Bus, API Management, and Event Grid for building integration solutions within the Azure ecosystem Azure Integration Services documentation.
• Oracle Integration Cloud (OIC): A cloud-based platform for integrating SaaS and on-premises applications, automating business processes, and developing visual applications.

Getting started

Getting started with SnapLogic typically involves accessing the SnapLogic Designer, a web-based interface for building integration pipelines. While SnapLogic emphasizes a low-code, visual development approach, developers can extend its functionality using custom Snaps written in Java or Python. The following example illustrates the basic structure of a custom Snap, which could be used to perform a specific data transformation not covered by existing Snaps.

This Python code snippet outlines a minimal custom Snap that reads input data, performs a simple transformation, and writes output data. Real-world custom Snaps are more complex, handling error conditions, configuration properties, and various data types.

# Example: Basic structure of a custom Python Snap
# This code demonstrates the core components (execute method, input/output views)
# For a complete working Snap, refer to SnapLogic's official documentation.

from snaplogic.api import Snap, SnapProperties, PropertyType, InputView, OutputView

class MyCustomTransformer(Snap):
    def __init__(self, name=None, description=None, properties=None, input_views=None, output_views=None):
        super().__init__(name, description, properties, input_views, output_views)

    @classmethod
    def get_version(cls):
        return '1.0.0'

    @classmethod
    def get_label(cls):
        return 'My Custom Transformer Snap'

    @classmethod
    def get_description(cls):
        return 'A basic custom Snap for data transformation.'

    @classmethod
    def get_properties(cls):
        return [
            SnapProperties.Property(
                name='prefix_text',
                label='Text Prefix',
                type=PropertyType.STRING,
                doc='Text to prepend to each input string.',
                required=True
            )
        ]

    @classmethod
    def get_input_views(cls):
        return [
            InputView(name='input', label='Input Data')
        ]

    @classmethod
    def get_output_views(cls):
        return [
            OutputView(name='output', label='Transformed Data')
        ]

    def execute(self):
        prefix = self.get_property('prefix_text')

        # Read data from the 'input' view
        for document in self.input_views['input']:
            # Assuming input is a dictionary with a 'message' key
            if 'message' in document:
                original_message = document['message']
                transformed_message = f"{prefix} {original_message}"
                
                # Create a new document with the transformed message
                output_document = {'transformed_message': transformed_message}
                
                # Write the transformed document to the 'output' view
                self.output_views['output'].write(output_document)
            else:
                # Handle cases where 'message' key is missing or log an error
                self.log.warn("Input document missing 'message' key.")

# To make this runnable in SnapLogic, it needs to be packaged and deployed 
# according to the Custom Snap Development Guide in SnapLogic documentation.

For detailed instructions on developing custom Snaps and deploying them within the SnapLogic environment, refer to the SnapLogic Custom Snap Development Guide.