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LATAM
The AI Enterprise
Partner of the Year
Turning data opportunities into production-ready Databricks workloads.
Named LATAM AI Enterprise Partner of the Year 2025.
Make the move to Databricks the right way. We help you define why Databricks, where to start, and how to migrate from fragmented data foundations to a governed platform ready for analytics, ML, and AI.
Partener with us
Silver-tier Partner
Brickbuilder
Solution
When Databricks wins
Most enterprises don't need another database. They need a platform that does data, analytics, and AI on the same foundation — at speed, at scale, and at a price that makes sense. Here's when Databricks beats the alternatives.
Performance
Built for the workloads of the next decade. Real-time data, AI at scale, and unified analytics on a single engine — without the latency tax of stitching warehouse + lake + ML platform together.
Economics
Typically about two-thirds the total cost of other platfroms at enterprise scale. As your data and AI footprint grows, the unit economics get better, not worse.
AI - readiness
One platform for data engineering, BI, machine learning, and AI agents. No patchwork. No integration tax. The agents and apps you're being asked to build next year already have a home.
Support that's actually integrated
Your Databricks rep plus Muttdata. Co-selling on the way in. Co-implementation on the way through. Co-success on the way out. You're not alone on the migration, and you're not alone after.
The question isn’t why migrate to Databricks, then question is why wouldn’t migrate to Databricks?
What problems does migrating to Databricks solve?
The blockers we hear are remarkably consistent. Here's what each one sounds like and what we turn it into.
| What we hear | What we deliver |
|---|---|
| "We wait weeks for the executive report KPIs." | A governed single source of truth on the Databricks Lakehouse.Clip cut monthly reporting from 15 days to 2 — a 10x reduction. |
| "Our data is inconsistent, and nobody knows where it comes from." | End-to-end governance on Unity Catalog — lineage, quality, and access control across every asset.RapidSOS gained validation and lineage they could trust. |
| "We're spending a fortune on old licenses." | A de-risked competitive migration to Databricks, with your data in open formats so it's never locked in.We moved Clip off Snowflake, with cost as the driver. |
| "We want ML and AI, but our data isn't ready." | The foundations that make modern analytics and AI possible.Addi migrated hundreds of models to a scalable platform and shipped client-facing dashboards 3x faster. |
| "Business users can't get an answer without us." | Our GenAI Analytics Accelerator puts a natural-language layer on Databricks Genie — answers in seconds, no SQL, no waiting. |
Why is Databricks the #1 Platform
(and why you should migrate to Databricks)
Modern enterprises don't run one workload anymore — they run analytics, BI, ML, and AI on the same data. The platform you pick shapes how easy (and how expensive) all of that becomes for the next decade. Here's an honest look at where Databricks leads, and where alternatives still earn the choice.
Databricks vs. the alternatives
| What we hear | What we deliver |
|---|---|
| "We wait weeks for the executive report KPIs." | A governed single source of truth on the Databricks Lakehouse. Clip cut monthly reporting from 15 days to 2 — a 10x reduction. |
| "Our data is inconsistent, and nobody knows where it comes from." | End-to-end governance on Unity Catalog — lineage, quality, and access control across every asset. RapidSOS gained validation and lineage they could trust. |
| "We're spending a fortune on old licenses." | A de-risked competitive migration to Databricks, with your data in open formats so it's never locked in. We moved Clip off Snowflake, with cost as the driver. |
| "We want ML and AI, but our data isn't ready." | The foundations that make modern analytics and AI possible. Addi migrated hundreds of models to a scalable platform and shipped client-facing dashboards 3x faster. |
| "Business users can't get an answer without us." | Our GenAI Analytics Accelerator puts a natural-language layer on Databricks Genie — answers in seconds, no SQL, no waiting. |
What We Deliver: Full-Stack Databricks Solutions
Databricks
ArchitectureLakehouse — data lake, warehouse, ML, and AI on one platform
Best forUnified analytics + ML + AI on the same data
AI & ML readinessNative: MLflow, Mosaic AI, Model Serving, Vector Search
Multi-cloudAWS, Azure, GCP
Open data formatsNative Delta Lake and Apache Iceberg; data stays in your cloud storage
Vendor lock-in profileLow — open formats in your storage; any engine can read your data
Pricing modelPer-DBU compute + your cloud infrastructure (you keep control)
Where the cost winsMixed workloads, ETL at scale, ML training, AI
Operational simplicityConfigurable — serverless option available, more knobs than a warehouse
Snowflake
ArchitectureData warehouse with added data lake and AI capabilities
Best forSQL analytics and BI on structured data
AI & ML readinessCortex AI layered on top of the warehouse
Multi-cloudAWS, Azure, GCP
Open data formatsProprietary format native; Iceberg via external tables
Vendor lock-in profileModerate — proprietary storage layer
Pricing modelPer-credit consumption
Where the cost winsPure BI / SQL-heavy reporting at predictable volumes
Operational simplicityHigh — auto-managed warehouses
Amazon Redshift
ArchitectureCloud data warehouse, AWS-native
Best forSQL analytics inside the AWS ecosystem
AI & ML readinessRedshift ML via SageMaker integration
Multi-cloudAWS only
Open data formatsProprietary format native; Iceberg via Spectrum
Vendor lock-in profileModerate — proprietary storage layer
Pricing modelPer-node hour, or per-query (Serverless)
Where the cost winsAWS-native BI with steady, structured workloads
Operational simplicityHigh — managed clusters
Google BigQuery
ArchitectureServerless cloud data warehouse, GCP-native
Best forAd-hoc SQL analytics, GCP-native workloads
AI & ML readinessBigQuery ML (SQL-based)
Multi-cloudGCP only
Open data formatsProprietary format native; BigLake for open formats
Vendor lock-in profileModerate proprietary storage layer
Pricing modelPer-TB scanned or per-slot
Where the cost winsBursty, ad-hoc analytics
Operational simplicityHighest — fully serverless
get in touch
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Where we focus
We work across LATAM and the US, with deep practice areas in:
Retail & E-commerce
Demand forecasting, personalization, real-time pricing, unified customer data, and AI-powered marketing — for retailers who need their data to keep up with their stores.
Financial Services & Fintech
Regulatory reporting at scale, real-time risk, fraud detection, and customer 360 the same foundations that power Clip, Addi, and BCP.
Marketing & Media
Composable CDPs, attribution modeling, and AI-powered paid media optimization the Databricks foundation behind modern marketing stacks.
We bring real results
Fintech (Clip): Cut monthly regulatory reporting cycles from 15 days to 2, achieving a 10x reduction.
Tech & Response (RapidSOS): Achieved 80% fresher data, cutting data refresh times from 24 hours to under 4 hours.
Fintech (Addi): Migrated hundreds of models to a scalable platform, improving data quality and shipping client-facing dashboards 3x faster.
News & insights
Latest Insights
Databricks
Building a Modern Data and AI Platform on Databricks: Architecture, Migration, and Implementation
Discover how migrating to the Databricks Lakehouse architecture unifies your data, AI, and governance while significantly reducing platform costs.
Read Article
Company
Muttdata closes its first investment round to accelerate growth across the Americas
Read Article
