World Bank Group transformed capital markets operations with an agentic lakehouse built on Dremio.
Industry Solutions
Agentic lakehouse for financial services
Unify fragmented financial data, accelerate AI-driven analytics and maintain regulatory compliance without complex ETL, data duplication or vendor lock-in.
Trusted by leading financial institutions
BENEFITS
Built for modern financial data teams
Dremio gives financial institutions the fastest path to trusted AI and analytics, unifying transaction, risk, customer and regulatory data without duplication, complex ETL or lock-in.
Fastest path to financial AI and data analytics
Unify financial data with embedded business context so analysts and AI agents can deliver accurate fraud, risk and customer insights without pipelines or manual reconciliation.
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All your financial data, where it lives
Get a centralized repository of transaction, KYC, market and regulatory data with zero ETL. Eliminate duplication, reduce cost and meet data residency requirements.
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Governance and compliance you can trust
Enforce fine-grained access controls, full query lineage and audit-ready metadata across PCI DSS, Basel III, GDPR, SOX and AML/KYC environments.
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USE CASES
Finance data lake use cases
A data lake for finance helps turn siloed transaction, risk and customer data into trusted insights your fraud, risk and compliance teams can act on instantly.
Federate card transactions, account history, KYC and AML data and external watchlists into one governed analytical layer. Enable real-time feature lookup for fraud models and give operations teams instant access to investigate patterns without waiting for data pipelines.
Create a single version of risk metrics with full lineage and governed access for Basel III, FRTB, IFRS 9 and Solvency II programs. Deliver daily risk reports faster with less manual effort and audit-ready traceability built in.
Unify customer identity and behavioral data across core banking, cards, CRM, loyalty and digital channels. Give AI agents and analytics teams governed access to power next-best-action, personalized offers and real-time servicing decisions.
Provide portfolio managers, quants and distribution teams with intraday portfolio, performance and risk views across custodians and systems. Proven with a $75B AUM investment manager delivering self-service analytics with no unplanned outages.
Unify transaction monitoring, watchlist screening, customer due diligence and data lineage into a governed semantic layer. Reduce false positive review time and give compliance teams auditable, query-logged access without manual data extracts.
CUSTOMER STORIES
Fueling AI innovation across industries
1000s of companies across all industries trust Dremio.
Vanguard drives improvements in operational efficiency, user satisfaction, and data processing speed with Dremio
Nomura modernized their data lake delivering unparalleled efficiency with Dremio Unified Lakehouse Platform for Self-Service analytics and AI.
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Financial crime has become a trillion‑dollar problem, and the only sustainable way to fight it is with AI‑driven, real‑time analytics on complete, well‑governed data. Dremio’s Agentic Lakehouse platform is designed to give Financial Services organizations exactly what effective fraud and AML programs need: unified data, governed access, and sub‑second analytics across historical and streaming data. […]
FAQs
Frequently asked questions
Get common questions answered about Financial Solutions.
Dremio’s Agentic Lakehouse streamlines AI initiatives by unifying data across all sources with Zero-ETL Federation and gives AI agents direct, governed access through the AI Semantic Layer, without pipelines or duplication. It is the fastest path to agentic analytics across fraud detection, risk reporting and customer 360.
The AI Semantic Layer provides fine-grained access controls, column-level security and complete data lineage, making it straightforward to meet Basel, FRTB, IFRS 9, Solvency II and PCI DSS requirements without duplicating data. Vanguard runs governed analytics across critical finance and compliance domains on AWS with Dremio.
Yes. Dremio’s Zero-ETL Federation connects directly to existing warehouses, data lakes and legacy systems without moving data. Most financial institutions reach production within weeks. TD Securities, for example, unified data discovery across 75+ systems without replacing existing infrastructure.
Dremio connects directly to your existing data sources, whether on-premises systems, cloud storage, or data warehouses, without requiring you to move or copy data. It layers on top of what you already have, so teams can query, govern, and analyze data across your finance data lake from day one.
Most teams go from deployment to production-ready analytics in days, not months. Financial institutions like Nomura and the World Bank accelerated time to insight by eliminating data pipelines and enabling direct, governed access to data across their environments.
Dremio is purpose-built to handle the volume of data that financial institutions generate across trading systems, risk platforms, and customer applications, delivering sub-second query performance without moving or copying data. Its distributed query engine processes structured and unstructured data at scale, so performance holds whether you are running regulatory reports, real-time risk calculations, or AI workloads.
Dremio reduces infrastructure costs by querying data where it lives, eliminating duplication and ETL pipelines. Autonomous Reflections and automatic Iceberg clustering optimize performance continuously.
Yes. Our platform gives financial institutions full control over data residency and jurisdiction across regulatory environments. For example, TransUnion runs Dremio across public clouds and on-premises data centers in 30 countries, managing data on over 1 billion people.
Open standards mean your data stays in formats you own, eliminating proprietary lock-in and migration risk if your technology needs ever change. Dremio is built by the co-creators of Apache Polaris and Apache Arrow and is the only lakehouse built natively on Apache Iceberg, so the foundation is both vendor-neutral and enterprise-proven.
