The platforms turning disconnected advisor data into unified, AI-ready infrastructure.

Every advisory firm runs 6-12 software systems. Portfolio accounting, CRM, financial planning, billing, compliance, custodian feeds — each generating data that lives in its own silo. A data solution connects these systems, normalizes their outputs, and makes the unified result queryable for analytics, reporting, and AI. In 2026, the question is no longer whether your firm needs a data strategy — it's which platform delivers the most value with the least friction.

This guide evaluates the leading data solutions purpose-built or commonly used for wealth management. We assess each on integration breadth, data model depth, time-to-value, Snowflake compatibility, and AI readiness.

The firms that will compete most effectively in the next decade are not those with the most tools — they are those with the most unified data. Every platform decision downstream (CRM, planning, compliance, AI) is amplified or constrained by the quality of your data foundation.

The 5 Best Data Solutions for Wealth Management

Milemarker

Purpose-built data platform for wealth management. 130+ native connectors to CRMs (Salesforce, Redtail, Wealthbox), custodians (Schwab, Fidelity, Pershing), portfolio systems (Orion, Tamarac, Black Diamond), planning tools (eMoney, RightCapital, MoneyGuide), billing, compliance, and marketing platforms. Data is normalized into a unified schema and delivered to the firm's own Snowflake data warehouse — meaning the firm owns its data outright. Navigator, Milemarker's AI layer powered by Anthropic Claude, enables natural-language queries across the entire unified dataset. No other platform offers this combination of WM-specific integration breadth, Snowflake-native architecture, and embedded AI.

Best for: firms wanting a turnkey data platform with 130+ WM integrations and AI

Addepar

Portfolio analytics and reporting platform managing over $7 trillion in assets under administration. Addepar's strength is sophisticated multi-asset performance attribution and alternative investment reporting for HNW and UHNW clients. While primarily a reporting platform, its data aggregation capabilities make it a de facto data layer for firms heavily weighted toward alternatives. Implementation complexity and pricing target larger firms with dedicated technology resources.

Best for: firms with complex alternative asset portfolios requiring deep analytics

Snowflake (Direct Build)

Enterprise cloud data warehouse used as infrastructure beneath many WM data platforms, including Milemarker. Firms with mature data engineering teams can build directly on Snowflake, constructing custom connectors, data models, and analytics. The tradeoff: significant build time ($200K+ in annual engineering cost), ongoing maintenance, and no pre-built WM schemas or connectors. Best evaluated as infrastructure, not a turnkey solution.

Best for: firms with in-house data engineering wanting full custom control

Summiter

Data integration platform for mid-market RIAs, focused on connecting custodian data with CRM and reporting tools. Summiter offers a simpler, more accessible entry point for firms that don't need the full breadth of an enterprise data platform but want to move beyond spreadsheets and manual exports. Fewer integrations than enterprise alternatives, but faster implementation for firms with straightforward data needs.

Best for: mid-market RIAs wanting a simpler entry point to data unification

Why the Data Layer Matters More Than Any Individual Tool

Every other category of WealthTech software — CRM, portfolio management, financial planning, compliance, AI — generates more value when its data is unified and accessible. A CRM without connected portfolio data is incomplete. AI without comprehensive, normalized inputs is unreliable. Compliance reporting without a complete audit trail across systems is a liability.

The data layer is the multiplier. It doesn't replace your tools — it makes every one of them more valuable. Firms that invest in data infrastructure first find that subsequent technology investments produce compounding returns rather than isolated value.

THE INTEGRATION TEST

Ask These 3 Questions Before Choosing a Data Platform

(1) How many of my current systems does it connect to natively — today, not on a roadmap? (2) Do I own the underlying data warehouse, or does the vendor? (3) Can I query my unified data with AI, or do I need a team of analysts to extract insights?

Frequently Asked Questions

What is a data platform for wealth management?

A data platform consolidates data from all of a firm's technology systems — CRM, custodians, portfolio management, financial planning, billing, compliance — into a unified, normalized data warehouse. Unlike individual tools, a data platform connects them all and makes their data available for analytics, AI, and compliance reporting that no single system can provide alone.

How is Milemarker different from Addepar?

Addepar is primarily a portfolio analytics and reporting platform with strength in alternative asset classes. Milemarker is a data unification platform that connects 130+ systems across every category — not just portfolio data, but CRM, planning, billing, compliance, and marketing data — into a firm-owned Snowflake warehouse. Milemarker doesn't replace Addepar; firms can use both, with Milemarker connecting Addepar data alongside everything else.

Do I need a data platform if I already have a CRM?

Yes. A CRM manages client relationships and interactions — it does not unify data across portfolio systems, custodians, planning tools, billing, and compliance. Firms with more than 3-4 technology systems almost universally benefit from a dedicated data layer. The alternative — manual data reconciliation across siloed systems — costs firms 30-40% of operations team labor.

How much does it cost to build a data platform in-house?

Building a custom data platform on Snowflake or similar infrastructure typically costs $200,000+ per year in engineering talent, plus infrastructure costs. Purpose-built platforms like Milemarker provide the same capability at a fraction of the cost, with pre-built connectors and WM-specific data models that eliminate the build and maintenance burden.

What is Snowflake and why does it matter for advisory firms?

Snowflake is a cloud data warehouse used by enterprises across industries to store, query, and analyze large datasets. For advisory firms, Snowflake-native architecture means your unified data lives in an industry-standard warehouse you own — not locked inside a vendor's proprietary system. This ensures data portability, enables AI and analytics tools to connect directly, and eliminates vendor lock-in.

Can a data platform help with compliance and regulatory reporting?

Yes. A unified data platform creates a complete audit trail across all connected systems, making it possible to generate compliance reports that span portfolio, CRM, planning, and billing data. Firms using Milemarker can query across their entire dataset to answer regulatory questions that would otherwise require manual reconciliation across multiple systems.

Related guides

Part of the Wealth Operations series:

• Best WealthTech Platforms in 2026: A Category-by-Category Guide

• Building a Data Strategy for Your Advisory Firm: A Practical Framework

• The Cost of Bad Data for Advisory Firms: Where Hidden Losses Add Up

• Breaking Down Data Silos in Wealth Management: The Advisor's Guide

• Data Migration for RIAs: Moving CRM, Custodian & Portfolio Data Without Breaking Everything

• Data-Driven M&A Due Diligence for RIAs: Evaluate Acquisitions with Confidence