$55.00
SnapLogic Intelligent Integration Platform is a data integration tool that focuses on robust and flexible self-service functionality.
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Portfolio & Awards
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Pricing Table
Features |
Small $9,500 / total Initial Business Idea Analysis and Documentation |
Medium $20,000 / total Solution Analysis Vision & Scope |
Large $35,000 /total Solution Analysis Vision & Scope (large-scale) |
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Discovery Timeline |
up to 3 weeks |
from 4 to 7 weeks |
from 6 to 9 weeks |
Define Business goals and objectives of the expected product |
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Requirements Elisitation Sessions (stakeholders interviews, workshops) |
up to 5 workshops |
up to 7 workshops |
up to 9 workshops |
Requirements Modeling and Documentation |
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Quality Attributes Workshop |
– |
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Business Requirements Specification |
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Competitor Analysis |
– |
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Product Succcess Metrics |
– |
– |
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Functional Decomposition |
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Key Business Processes & Sequence Diagrams |
– |
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Non-Functional requirements analysis and documentation |
– |
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Software Architecture Vision and High-level Design |
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Entity Relationship Diagram |
– |
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Technology Stack |
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Technical Risks Identification |
– |
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Architecture decisions report |
– |
– |
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Wireframes |
up to 3 core user flows |
up to 10 core user flows |
up to 15 core user flows |
Product Information Architecture |
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Business Model Canvas |
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Customer Journey Map |
– |
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Value Proposition design Workshop |
– |
– |
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Delivery Time |
– |
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Description
SnapLogic is an iPaaS platform that offers application, cloud, and data integration capabilities. Compared to more comprehensive data integration platforms, SnapLogic provides a relatively narrow set of features mostly centered around built-in connectors, real-time and batch processing, data quality, and security.
Key features:
AI-driven integration assistance (Iris).
Pre-built connectors for numerous applications.
Drag-and-drop interface.
Pros and cons: One of the main drawbacks is the lack of Git integration with popular version control systems. Moreover, its UI lacks features that make it easy for business users to navigate. The documentation is also shallow, especially when it comes to error handling and Snap packs.
Best use case scenario: Combining data from multiple sources.