In April 2024, Dakota Marketplace had performance data on zero private funds. Sixteen months later, that number is 18,000 funds, backed by 158,850 individual performance records covering net IRR, TVPI, DPI, and quarterly returns across private equity, private credit, private real estate, private infrastructure, real assets, venture capital, and hedge funds.
This is not a story about a database that grew. It is a story about a database that did not exist and now does, and the pace at which that happened is the part worth paying attention to.
Before April 2024, Dakota Marketplace tracked plenty of fund identities but had not yet built out the performance layer on top of them. The first 830 funds got performance records that month. From there, the build-out did not slow down.
By February 2025, ten months in, Dakota had performance data on 7,338 funds. In the eighteen months since, that more than doubled to 18,000, a 145% increase.
Eighteen thousand funds is the headline, but it undersells what actually happened. Each of those funds does not carry just one performance data point. On average, a fund with performance data on Dakota Marketplace carries 8.8 separate performance records, meaning Dakota is building quarter-by-quarter history, not a single snapshot per fund.
That shows up clearly in the records timeline. Performance records climbed steadily through 2024, reaching 26,656 by February 2025. Then, in a matter of weeks, the count jumped to roughly 99,000 by March 2025, a single historical backfill that added nearly 72,000 records at once. Records have grown more steadily since, reaching 158,850 today.
Quarter-By-Quarter, Not a Snapshot
8.8 records per fund means you can track a manager's performance across vintages, not just their latest mark. Book a demo to see the full history on a fund you follow →
That backfill event matters for anyone using this data. It means the jump from 26,656 to roughly 99,000 records was not new funds reporting new quarters. It was Dakota populating historical quarters, in some cases going back to 2000, for funds that were already being tracked. Depth, not breadth, drove that spike.
Coverage is concentrated, and not evenly across asset classes.
Private Real Estate started this period as the single largest performance dataset by fund count, and it still is today, but its growth rate (48%) is the slowest of the major categories. It was already the most built-out sleeve before February 2025, so there was less ground left to cover.
Venture Capital and Private Credit tell the opposite story. Both started from a small base (258 and 462 funds respectively) and grew the fastest in percentage terms, 374% and 326%. Private Equity added the most funds outright: 4,111 net additions, more than any other category.
Check Your Own Sleeve
Coverage depth varies by asset class, so the only number that matters is the one for your strategy. Book a demo to see what is on file for yours →
If your work depends on fund performance history, where you land in this table changes what you should expect.
Private Real Estate, Hedge Funds, and Real Assets are the most mature performance datasets today. They were built out earliest and carry the deepest quarterly history per fund, including data reaching back to 2000 in some cases.
Private Equity and Private Credit are the fastest-growing performance categories in absolute terms. Both more than tripled in fund count since February 2025, and both are still adding funds and historical quarters at pace.
Venture Capital performance data is the newest layer and still thin in absolute terms (1,224 funds), even though its growth rate is the highest of any category. Expect continued build-out here rather than complete coverage yet.
Do not assume a flat build-out rate when working with historical data. The February-to-March 2025 backfill shows Dakota adds performance history in batches as well as continuously, so a fund's absence from performance data this quarter does not mean it will stay absent next quarter.
Dakota Marketplace now carries 158,850 performance records across 18,000 alternative investment funds, spanning private equity, private credit, private real estate, private infrastructure, real assets, venture capital, and hedge funds.
Filter by asset class, vintage, and performance metrics including net IRR, TVPI, and DPI, then connect the numbers directly to the manager relationships and fundraising activity behind each fund.