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Title
Connecting the global investment ecosystem
…Demo Login Contact Us Try Databricks Customer Stories / Addepar CUSTOMER STORY Connecting the global investment ecosystem 5x Faster pipeline development, accelerating client onboarding $2M Saved with d…
Description
Addepar adopted the Databricks Data + AI Platform to centralize disparate datasets, streamline workflows and leverage advanced AI capabilities at scale for a platform managing more than $7 trillion in assets, reducing pipeline development times by 3-5x, accelerating client onboarding, and cutting infrastructure costs by 32%, saving $2 million annually.
…ng their foundational infrastructure to manage more than $7 trillion in assets. Recognizing the need for modernization, the company adopted the Databricks Data + AI Platform to centralize disparate datasets, streamline workflows and leverage advanced AI capabilities at scale. This transformation reduced pipeline development times by 3–5x, accelerated cli…
Company
Addepar, a global technology and data company connecting the investment ecosystem
…ng $2 million annually. The challenge of scaling data for $7 trillion in assets Addepar is a global technology and data company connecting the investment ecosystem. By delivering transparency and data-driven insights across the entire investmen…
Industry
Financial Services
…oug Judice, Engineering Manager at Addepar, concluded. Share this post Details Industry : Digital and AI-Native Business , Financial Services Use Case : Analytics and Business Intelligence , Data Science , Data Warehousin…
Problem
Addepar's rapid growth from $2 trillion to $7 trillion in managed assets exposed limitations in its custom-developed infrastructure; fragmented and siloed datasets spanning market and portfolio information made it hard to deliver timely, holistic insights, and development workflows for ingesting, transforming and analyzing data took up to 16 weeks.
…professionals to provide the most informed, precise guidance for their clients. In just four years, Addepar experienced exponential growth, with managed assets on the platform surging from $2 trillion to $7 trillion. However, this rapid expansion exposed significant limitations in their infrastructure. Built on custom-developed technology, these systems struggled to handle the she…
…ols that spanned different business intelligence (BI) and visualization stacks. Analysts and engineers struggled to collaborate across these siloed systems, with development workflows for ingesting, transforming and analyzing data taking up to 16 weeks. These delays had ripple effects, influencing time to insight and innovation for…
Solution
Addepar adopted the Databricks Data + AI Platform's lakehouse architecture, using Delta Lake to unify client portfolio, market and custodial data, Delta Sharing to securely share data across global regions, interactive Notebooks for cross-functional collaboration, a serverless architecture for burst traffic during nightly ingestion, and Unity Catalog for governance including column masking and dynamic views.
…on across teams and transforming their ability to generate actionable insights. Addepar leveraged Delta Lake to bring their client portfolio data, market data and custodial feeds into a single, centralized platform. This eliminated the silos that previously fragmented their operations. Using De…
…latform. This eliminated the silos that previously fragmented their operations. Using Delta Sharing, Addepar securely shared data across global regions, enabling clients to comply with diverse regulatory requirements while supporting global operations. “With Databricks, we’ve established a unified data foundation that enables us t…
…ontinuously delivering value to our clients,” Bob Pisani, CTO at Addepar, said. Addepar also uses the platform’s interactive Notebooks for cross-functional collaboration. Engineers and financial analysts, who previously struggled to work together due…
…ed the team to iterate on new products and data models faster than ever before. The shift to a serverless architecture brought cost and efficiency gains, particularly in managing Addepar’s burst traffic during nightly data ingestion cycles. Traditional SQL warehouses previously struggled to scale dynamically and cost-e…
…ficiency by nearly 2x. With sensitive financial data, governance was paramount. Unity Catalog provided Addepar with a centralized mechanism to manage data access, auditing and security. Advanced features like column masking and dynamic views ensured that sensitive client information was accessible only to authorized personnel. This governance model supported regulatory compliance globally, bolstered by au…
Business value
Addepar accelerated pipeline development from 8-16 weeks to 2-3 weeks (a 3-5x improvement), contributed to a 32% reduction in infrastructure costs and $2 million in annual platform savings, and saw internal platform adoption grow 200% year-over-year.
…d operational efficiency and created new opportunities for innovation. Notably, Databricks enabled Addepar to accelerate their pipeline development process from 8–16 weeks to 2–3 weeks, reflecting a 3–5x improvement in development velocity. This improvement directly impacted client onboarding as Addepar could ingest, v…
…has reduced labor-intensive processes and increased data integration velocity. Overall, these improvements contributed to a 32% reduction in infrastructure costs and $2 million in annual platform savings. Internally, adoption of the platform surged, with user engagement growing 200% year-over-year. This culture of data-driven innovation allowed Addepar to build nearly every ne…
Technology
Agent Bricks, Databricks SQL, Delta Lake, Delta Sharing, Spark Declarative Pipelines, Unity Catalog
…alytics and Business Intelligence , Data Science , Data Warehousing Cloud : AWS Product : Agent Bricks , Databricks SQL , Delta Lake , Delta Sharing , Spark Declarative Pipelines , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
Headline outcome
…stment ecosystem 5x Faster pipeline development, accelerating client onboarding $2M Saved with data infrastructure optimization 200% Platform adoption growth by fostering a culture of data-driven collaborati…
Use case type
Analytics augmentation
…d operational efficiency and created new opportunities for innovation. Notably, Databricks enabled Addepar to accelerate their pipeline development process from 8–16 weeks to 2–3 weeks, reflecting a 3–5x improvement in development velocity. This improvement direct…
AI capabilities
Conversational AI
…ild nearly every new product on the Databricks Data + AI Platform. For example, the proprietary chatbot project — designed to deliver engaging, AI-driven experiences — underscores how Databricks empowers the development of both client-facing and…
Deployment model
Cloud
…se Case : Analytics and Business Intelligence , Data Science , Data Warehousing Cloud : AWS Product : Agent Bricks , Databricks SQL , Delta Lake , Delta Sharing , Spark De…
Deployment options
cloud
…se Case : Analytics and Business Intelligence , Data Science , Data Warehousing Cloud : AWS Product : Agent Bricks , Databricks SQL , Delta Lake , Delta Sharing , Spark De…
