Report
MIT Report: Redefining Data Engineering in the Age of AI
Most executives say the job description and day-to-day activities for data engineers has changed radically due to AI. Discover how.
Make Your Data AI-Ready
Leading enterprises rely on the AI Data Cloud to power their end-to-end data lifecycle — from ingestion to sharing — so they can innovate faster and do more with their data.
92%
Of early adopters say AI investments are paying for themselves
88%
Report material efficiency gains
41%
Average ROI for gen AI initiatives
Shatter silos with a single platform for all your data
All your data in one place: Connect all data types natively — across OLTP, SaaS, streaming, structured and unstructured — in one powerful platform.
Open interoperability for your lakehouse: Build open architecture with standards including Apache Spark, Iceberg and NiFi, all powered by a single engine.
- Consistent governance: Use Horizon Catalog to govern end to end — no point solutions, no isolated governance.
Connected data and ecosystem: Instantly access ready-to-query data, content and apps through data sharing and Snowflake Marketplace.
Moser Consulting Streamlined Architecture by Phasing Out Databricks for Snowflake
This tech firm simplified its infrastructure and centralized data governance by switching to Snowflake’s single, managed platform.
- 70% Cost savings
Scale with confidence, delivering efficient, cost-effective pipelines
Manage data, not infrastructure: Deliver reliable pipelines that scale with spikes, using multi-clustered warehouses without over-provisioning. Benefit from continuous optimization and simplified, predictable pricing.
Slash total cost of ownership with Snowpark Connect: Same Spark code, massive performance gains and business value. Reduce direct compute cloud costs at scale by 10-25% and achieve 20-30% faster performance for your data team.
- Efficient, declarative pipelines: Build, test and deploy declarative pipelines with Dynamic Tables and native dbt Projects to automate orchestration and dependency management with ease.
VideoAmp Saves 90% in Costs and Increases Performance by 10x
With Snowflake’s increased speed, reliability and flexibility, VideoAmp has enhanced its product offerings, improved customer satisfaction and reduced costs.
- 13 hours to backfill data, down from 5 days
Fuel AI with near-instant, context-rich data
Multimodal readiness: Automate unstructured data prep via Openflow, parsing and chunking documents with native LLMs to accelerate AI workflows.
Rich semantics closer to your data: Help AI understand business context with Semantic Views. Support diverse authoring patterns, including AI-generated models, dbt Projects and tight integration with business applications.
AI-enabled pipelines: Boost your developer productivity and code accuracy with AI coding tools like Cortex AI Functions and Cortex Code.
Near real-time data: Power AI with bi-directional data flows that deliver high throughput and low latency using features like Snowpipe Streaming.
Nissan North America Accelerates Unstructured Insights to Drive Faster Innovation
With Snowflake, Nissan improved operational efficiency while gaining insights from customer reviews and sentiment.
- 2 months Saved to deliver projects
Resources
