Momentum Data Orchestration: Build vs Buy

Momentum is now part of Salesforce!

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A side-by-side comparison

Category In-house Solution Momentum Solution
Setup Time 6-12 months 1 week
Cost (Annual) $1,000,000+ (5 FTE: Engineering salaries, infrastructure, ongoing maintenance) $99 per month per user + platform fee
Team Required • 3-5+ Full-time engineers
• 1-2 Data scientists
• 1 Project manager
• 1-2 QA specialists
Assigned AE/CSM/SE team + Momentum technical support
Maintenance Continuous in-house effort Included
Scalability Limited by in-house resources Scales with your needs
Integration Complexity High - custom integrations needed Pre-built integrations with major platforms and future integrations (custom) can be accommodated (see list of integrations)
AI/ML Capabilities Internal teams can initially use latest AI models, but are challenged by consistently and quickly adapting or migrating based on changes in the AI industry Momentum undergoes model updates and maintenance on a bi-weekly basis. Momentum has a tried and true methodology and practice with respect to this and we believe this to be an area of drastic underestimation when building on top of a raw foundation model.
Reducing Hallucinations Requires full time oversight, systems, and advanced knowledge in prompting Momentum uses RAG, advanced prompt engineering, and a unique extraction engine to ensure accurate, reliable outputs. Our solution evolves with your needs, eliminating the burden of constant internal adjustments
Features Custom - Each time business requirement or process changes, updates and reengineering required Comprehensive suite of products that are tuned and evolving. The horizontal nature and central thesis of Momentum (to act as a data pipeline under any tech stack) means that we can go potentially deep (and are) into a vertical specific feature set given the right economics.
Data Privacy Full control, but requires significant effort to maintain Zero retention policy with third-party providers (e.g., OpenAI) backed by a thorough Data Privacy Addendum that we establish with all customers
Customization Highly customizable, but time/resource consuming Flexible configurations, evolves with your business
User Adoption Requires extensive training Integrates with existing tools, Momentum meets customers where they are – minimal learning curve, works OOTB
Time to Value Long - must build from scratch Instant - pre-built solutions ready to deploy
Risk High - success depends entirely on in-house capabilities and team member who may not be there long-term and tribal knowledge leaves with them Lower - proven solution with multiple successful deployments

Listen to what our customers say

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Mark Moore

Senior Director, Global Deal Desk at Treasure Data

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Scott Miller

Head of RevOps at Arc

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Michelle Yoshinaka

VP of Marketing at Sound Agriculture

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Nate Follen

Head of GTM Systems at Ramp

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Navin Persaud

VP of RevOps at 1Password

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Mark Turner

VP of RevOps at Demandbase

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João Dias

Senior Manager, RevOps at YipitData

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Kyle Norton

CRO at Owner

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Yesenia McCoy

Director of Sales Ops at Scylla

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