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A private fund database is a structured record of private investment fund performance and characteristics, built so that allocators, fundraisers, and research teams can compare managers on a like-for-like basis.
Joe, powered by Dakota, tracks more than 18,000 private funds across seven asset classes, with net IRR, TVPI, DPI, and RVPI captured at the fund level, tied to a named fund rather than folded into an anonymized pool. That combination of scale and named-fund transparency is what separates a usable database from a pile of disconnected fund reports.
Most investment teams do not lack access to fund data. They lack access to fund data they can actually compare.
Performance sits in PDFs, pension disclosures, quarterly letters, and voluntary manager submissions, each formatted differently and rarely lining up on vintage, strategy, or geography. A private fund database solves that by pulling performance into one place and organizing it around the dimensions investment professionals use to make decisions.
In this article, we're discussing what a private fund database contains, the asset classes it covers, and how investment teams use Joe day to day to benchmark managers and source deals. By the end of this piece, you'll understand why named, individual fund data changes what a benchmark can actually tell you.
At its core, a private fund database answers three questions about any manager: how did the fund perform, how does that performance compare to peers, and is this a manager worth a conversation.
Joe is built around the metrics investment committees and LPs rely on:
For hedge funds and evergreen vehicles, Joe also tracks annualized performance on a YTD, 1-year, 3-year, 5-year, 10-year, and since-inception basis. Every record carries vintage year, geography, strategy, and fund size, so comparisons stay meaningful instead of lumping a lower middle market buyout fund in with a large-cap growth vehicle.
Coverage depth is where a private fund database proves its value. A dataset strong in private equity but thin everywhere else forces teams back into stitching sources together. Joe covers the private fund universe that matters most to allocators and fund managers, with 18,000+ named funds across seven asset classes: private equity, private real estate, hedge funds, private credit, infrastructure and real assets, venture capital, and evergreen and interval funds.
Within each asset class, the database breaks down by investment style, from lower middle market buyout to pre-seed venture, from core real estate to opportunistic, from corporate lending to asset-backed credit. That granularity is what lets an investment team build a true peer group instead of a rough approximation.
The practical uses fall into a few patterns.
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A database is the foundation. What investment teams do with it is where the value compounds, and benchmarking is the clearest example.
Broad quartile rankings compare a fund to every fund in its general strategy, regardless of what those funds actually invest in. A software-focused middle market buyout fund gets averaged in with an industrials-focused one, two very different return profiles, exit cycles, and multiple environments collapsed into a single misleading number.
The problem is not the data. It is the peer group.
Because Joe captures strategy, vintage, geography, and portfolio company sector on every record, a team can filter down to a true peer group and see accurate IRR, TVPI, and DPI within it. A fund sitting in the second quartile of a broad benchmark may be first quartile once the peer group only includes funds that actually invest in similar businesses. That is not spin. It is the correct comparison, and it only works when the underlying data is named rather than pooled.
A GP's current fundraise is only one data point. Joe connects individual funds back to the GP that raised them, so a manager's full history, Fund I through the current raise, can be viewed fund-over-fund against its own vintage-specific peer group rather than as a single blended figure. That makes it possible to see whether a manager's relative performance has trended up or down across a series, not just where the newest fund lands in isolation.
Joe gives allocators, fund managers, and research teams a single source of truth for evaluating manager track records: 18,000+ named funds, seven asset classes, and the core return metrics investment committees actually use.
Paired with custom benchmarking, it turns fund performance from something you chase across sources into something you compare on your own terms.
Request access to see how Joe's private fund performance data can ground your next allocation or fundraising conversation.