Meridian Analytics designs and operates reliable, observable, and cost-efficient data platforms on AWS, GCP, and Azure — so your engineers can focus on product, not pipelines.
A complete toolkit for designing, deploying, and monitoring production data infrastructure.
End-to-end tracing across ingestion, transformation, and serving layers. Catch silent failures before they reach dashboards.
Per-team, per-job, and per-query cost breakdowns. Understand where every dollar of compute actually goes.
Policy-as-code controls for PII handling, retention windows, and access boundaries — auditable by default.
Move between warehouses, orchestration engines, or streaming platforms without interrupting downstream consumers.
Numbers from production deployments across our customer base.
Define your platform in version-controlled configuration and let Meridian handle the rest.
# Declare a streaming ingestion pipeline pipeline: name: events-ingest source: type: kafka topic: user.events.v2 transform: language: sql query: | SELECT user_id, event_type, ts FROM stream WHERE event_type IN ('signup', 'purchase') sink: type: warehouse table: analytics.funnel_events observability: alert_on: [lag, schema_drift]
Feedback from engineering leaders running Meridian in production.
"We cut our warehouse spend by almost 40% in the first quarter without changing a single downstream dashboard. The cost attribution alone paid for the engagement."
"Migrating off our legacy orchestrator felt impossible until Meridian mapped every dependency. We ran both systems in parallel for a month and cut over with zero downtime."
"The observability layer caught schema drift that our old monitoring completely missed. That single alert saved us from a week of silently corrupted metrics."
Common questions about our engagements and platform.
Yes. We support AWS, Google Cloud, and Azure, and we regularly work in hybrid and multi-cloud environments. Our platform is provider-agnostic and integrates with native services on each cloud.
Most initial engagements run four to eight weeks, focused on a specific migration, cost reduction, or observability initiative. Ongoing platform operations are available as a monthly retainer.
We implement policy-as-code controls for data retention, PII handling, and access boundaries, with audit trails suitable for SOC 2, GDPR, and HIPAA reviews.
We start with a two-week discovery phase to map your current architecture, identify risks, and agree on measurable outcomes before any migration work begins.
Book a free 30-minute consultation with one of our platform engineers.
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