Databricks Data Delivery
Databricks is the platform the world's most data-driven companies chose when spreadsheets broke, BI tools got too slow, and the data started to matter at scale. We implement it.
Most vendors push one platform for everything. We don't. We help you choose the right tool for the right job — and sometimes the answer is both.
Power BI · Fabric · Power Apps
"We need better dashboards and reports that everyone in the company can use."
Lakehouse · Delta Lake · Genie AI
"Our data volumes are growing fast and we need real engineering, AI pipelines, and a platform built for scale."
Most mature data organizations use both — Microsoft for business intelligence, Databricks for the data engineering backbone. Meraqi is one of the few partners that implements both and helps you connect them.
In 2020, Databricks coined the term "Lakehouse" — a new architecture that eliminated the trade-off between data lakes and data warehouses. Today, every major cloud vendor has adopted the concept. The original is still the best.
The open-source storage layer that brings ACID transactions, time travel, and schema enforcement to your data lake. Every table in Databricks runs on Delta Lake — ensuring your data is always reliable, auditable, and recoverable.
Centralized governance for all your data and AI assets — across clouds, workspaces, and teams. One place to manage permissions, lineage, and data quality. Compliance built in, not bolted on.
While other platforms charge extra for AI features, Databricks includes Genie — a natural language AI assistant built directly into the platform. Developers go faster. Business users get answers instantly. No extra license. No extra cost.
Describe what you need, Genie writes the query. Accelerates pipeline development and reduces debugging time significantly.
Genie understands your schema and can document tables, columns, and transformations automatically.
Paste an error, get a fix. Describe a transformation, get the Spark code. Junior engineers work like seniors.
Unlike competitors that charge separately for AI copilots, Databricks includes Genie as part of the platform. You get enterprise-grade AI on your data from day one.
Meraqi implements the full Databricks stack — from raw data ingestion to AI-powered applications. Here's what we build.
We design and build your data foundation — ingestion pipelines, Delta Lake tables, Lakeflow transformations, and real-time streaming. Your data flows reliably, at any scale, from any source.
SQL Warehouses for high-performance queries, AI/BI dashboards native to Databricks, and Genie AI for natural language exploration. Insights for everyone — from the C-suite to the data team.
Build, train, and deploy ML models on your actual business data. RAG applications, predictive models, anomaly detection — all running on the same platform as your data, not a separate system.
Databricks is one of the fastest-growing data platforms in the world — valued at $62B and backed by partnerships with OpenAI, NVIDIA, Anthropic, AWS, Azure, and GCP. Adoption of Databricks is accelerating. The companies that invest now build advantages their competitors won't catch.
Our DP-600 and DP-700 certifications cover Microsoft Fabric — which shares Delta Lake and Unity Catalog with Databricks. Our team works where both platforms meet, making us uniquely positioned to implement either or both.
Databricks adoption is accelerating across the Middle East, North America, and globally. The companies that build their data foundation now — before the market matures — will have a structural advantage that compounds over time. We're already working on Databricks-adjacent technologies and ready to lead.
Most partners specialize in one platform. Meraqi implements both Microsoft and Databricks — and knows how to connect them. If your roadmap touches both, we're the team that doesn't need two separate vendors.
Databricks ecosystem
A structured 4-step process built around Databricks best practices. We take ownership of the architecture so your team can focus on using the data, not managing it.
Map your current data sources, volumes, and architecture. Assess lakehouse readiness. Identify the highest-value migration opportunities.
Design your Unity Catalog structure, Delta Lake schema, workspace layout, medallion architecture, and governance model. Everything documented before a line of code is written.
Implement pipelines, SQL warehouses, Genie AI, and dashboards. Production-ready from day one — not prototypes that need rebuilding in 6 months.
Train your data team to own the platform. Document the architecture. Set up monitoring and alerts. Ongoing support available as your usage grows.
Databricks adoption in LATAM is accelerating. The infrastructure advantage is real — and it compounds over time. Let's start the conversation about your data architecture.
We assess your current data stack and map out what a Databricks implementation would look like for your specific context.
See Genie AI work on a real dataset. Watch how your business users could get answers without ever touching SQL.
Already have a data warehouse or lake? We map the migration path to Databricks — what moves, what stays, and what gets simplified.
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