Solutions
Orchestrating the future of Financial Services
Here’s how leading data teams in the industry are using Apache Airflow® and Astro to move fast with DataOps, get ahead of competitors and drive down costs along the way
Data is finance’s next battleground.
Financial institutions are converging on a set of strategic IT investments centered around data. See how leading data teams in the industry are using Apache Airflow® and Astro to move fast with DataOps, get ahead of competitors and drive down costs along the way.
Achieve cloud-native, zero-trust orchestration with Remote Execution.
Financial services firms can’t send proprietary models, customer PII, or regulatory data sets outside of their environments. Astro’s Remote Execution separates orchestration from execution, giving institutions the benefits of a managed Airflow and DataOps platform with no data egress and without ceding control over sensitive data or compute.
Build trust with governed, secure, and compliant data workflows.
Poor data governance exposes institutions to compliance risk and undermines trust in AI and analytics. Astro enforces governance at the orchestration layer, delivering secure, observable, and policy-aligned workflows that ensure data is trustworthy from source to output.
Scale AI securely under the toughest financial regulations.
Every institution pilots AI, but few are operationalizing it. Astro combines secure orchestration and DataOps automation to unify training, inference, and agentic workflows. Regulated institutions move from isolated experiments to production-grade, compliant, and continuously improving AI systems.
Deliver real-time, trusted insights for every decision.
Analytics initiatives often fail due to stale data and workflow sprawl. Astro manages governed, real-time data delivery across sources and teams. This accelerates the BI modernization, predictive modeling, and embedded intelligence necessary to support every decision — from trading to treasury.
Cut costs and accelerate innovation with modernized data platforms.
Legacy data platforms drain budgets and block innovation. Astro replaces brittle schedulers with a cloud-native DataOps platform that accelerates modernization, cuts orchestration overhead by up to 75%, and gives teams the agility to scale AI, analytics, and new services faster.
Turn fragmented systems Into seamless, multichannel customer journeys.
Fragmented systems and outdated practices limit personalization. Astro unifies pipelines across sources, channels, and teams, enabling real-time customer insights, secure data activation, and multichannel delivery. The result: trusted DataOps powering hyper-personalized apps that drive loyalty, growth, and differentiation.
Transform your financial services data operations.
Before Astro | After Astro |
|---|---|
Sensitive data must leave environment | Remote Execution keeps data, models, compute inside compliance boundary |
Schedulers require inbound network access | Outbound-only agents remove firewall holes, align with zero-trust |
Legacy schedulers stall modernization | Cloud-native orchestration bridges mainframes and cloud platforms seamlessly |
Brittle ETL scripts and manual jobs | Astro Runtime delivers hardened, production-ready Airflow images with RBAC and audit logging |
Governance bolted on post-hoc | Policy-as-code pipelines enforce masking, logging, and validation at runtime |
AI pilots fail to scale | Unified pipelines + 1,600 connectors operationalize AI across enterprise. Airflow 3.0 enables real-time, parallel inference at scale |
Manual retraining processes | Event-driven retraining & inference automated in Airflow 3.0 |
Little model explainability and limited insight into model health | Astro Observe tracks lineage, SLAs, and model performance in production |
Slow LLM workflows in silos | Airflow AI SDK enables agentic, multi-step, vectorized workflows |
Batch analytics delay insights | Event-driven scheduling updates dashboards, fraud models, and risk systems as data changes |
Trusted by the Best in Financial Services
banking
“With Astro, we have successfully modernized our data workflows in a way that lays a solid foundation for future growth and innovation”
Vishal Modak
Head of Corporate Architecture and Analytics
insurance
Powered by Astro, AAA Life Insurance saw an 80% reduction in troubleshooting time, 99%+ attainment of daily data freshness SLA, and <90 days from previous orchestration solution to production
Payment Processing
Learn how Stripe processes PBs of payments data daily, serving 500 teams across the company.
Blockchain
Read how Circle manages $10s of Billions across multiple blockchains for critical business insights, compliance, and auditing
Resources
Accelerate your analytics and reporting journey.
Guide
Orchestrating the Future of Financial Services
Case Study
AAA Life Insurance: 80% faster RCA, 99% data freshness SLAs
Tour
See Astro in action with an interactive demo
DataOps ROI Guide
Use Case Maturity for Apache Airflow® and Astro
In the Press
Northern Trust accelerates financial data processing
Explore more use cases
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Frequently Asked Questions
How can financial institutions adopt a managed service without compliance risk?
Astro's Remote Execution separates orchestration from execution. The managed control plane never touches sensitive data, models, or compute. Workflows run where your policies dictate—on-prem, in private cloud, or in regulated public cloud environments—ensuring privacy, data sovereignty, and zero-trust alignment.
How does Astro support AI and ML workloads?
Astro orchestrates the full AI lifecycle from data prep, training, retraining, and inference, across cloud or on-prem GPU clusters. With event-driven scheduling, parallel execution, and the Airflow AI SDK, teams can reliably operationalize both traditional ML and generative AI workflows.
What benefits do financial institutions gain from modernizing with Astro?
Financial institutions replacing legacy schedulers with Astro typically cut orchestration costs by up to 75%, reduce downtime, and accelerate delivery of new data products. The cloud-native, hybrid-ready platform provides agility and resilience without compromising compliance or control.
How does Astro improve data quality and governance?
Astro Observe ties data quality checks directly to pipeline execution, making issues traceable to specific tasks. Combined with lineage tracking, audit logs, and RBAC, this ensures trustworthy data for regulatory reporting, analytics, and AI initiatives.
How does Astro support compliance and regulatory reporting across systems?
Astro unifies data from core banking, trading, and CRM platforms into governed pipelines with full lineage and audit trails. This ensures consistent, accurate reporting that meets regulatory requirements across jurisdictions.
