- Altura Data — purpose-built for emerging managers, $487 one-time, 5,800+ verified contacts, 105 countries.
- LPbacked — most contact volume (19,496 LPs, 133 countries), but a monthly subscription.
- LP Radar — 750 hand-curated LPs if you want a short, high-conviction list.
- Preqin, FINTRX, PitchBook — institutional-grade, $15,000–$25,000+/year — the wrong price point pre-close.
- Price model matters more than raw contact count when your runway is the fundraise itself.
How we evaluated these databases
A tool that's "best" for a firm writing $50M institutional checks is not the same tool that's best for a first-time GP raising a $25M fund. Four criteria decide fit at your stage — as of 2026-07:
Price model
A one-time purchase beats a subscription when your runway is the fundraise itself — no recurring line item eating into a fund that hasn't closed yet.
LP type mix
Single-family offices and fund-of-funds with emerging-manager programs say yes to Fund I far more often than pensions or large endowments, which typically require a multi-fund track record.
Verified, individual contacts
Firm-level listings or generic info@ addresses aren't outreach-ready. You need a named decision-maker with a direct email.
Import-ready structure
A CSV with consistent fields (geography, stage, AUM, mandate) drops straight into a CRM. A PDF or a scraped list doesn't.
The best LP databases for emerging fund managers, ranked
Altura Data is the only database on this list purpose-built for the emerging-manager segment — the rest are institutional tools adapted downward, at institutional prices.
| Database | Built for emerging managers? | LP contacts | Price | Best for |
|---|---|---|---|---|
| Altura Data | Yes — purpose-built | 5,800+ | $487 one-time | Direct outreach on a fund-manager budget |
| LPbacked | Partially | 19,496 | Monthly subscription | Maximum contact volume, 133 countries |
| LP Radar | Partially (curated) | 750 curated | Contact for price | Small, high-conviction shortlist |
| Preqin | No — institutional | 190,000+ | $25,000+/yr | Large raises ($100M+) needing mandate history |
| FINTRX | No — enterprise family office | 3,500+ FOs | $15,000+/yr | Family-office-only strategies at scale |
| PitchBook | No — deal data platform | Sparse LP contacts | $20,000+/yr | Deal + fund history research, not outreach |
Altura Data is purpose-built for the emerging-manager segment rather than adapted to it: 5,800+ verified LP contacts — single- and multi-family offices, endowments, pensions, sovereign wealth funds, and fund of funds — across 105 countries as of 2026-07, with 90%+ verified direct emails and per-contact fields for AUM, stage focus, and mandate. One-time CSV purchase at $487, no subscription, importable into any CRM the same day.
LPbacked is the strongest choice if contact volume matters more than price — 19,496 contacts across 133 countries on a monthly subscription. Worth it for an international raise where the widest net matters; the tradeoff is ongoing cost for as long as your fundraise takes. See our full LPbacked comparison.
LP Radar trades volume for conviction — 750 hand-vetted LPs rather than thousands of unfiltered records. A reasonable fit if you'd rather work a short, high-quality list than filter a large one yourself.
Preqin, FINTRX, and PitchBook are excellent tools — for a different buyer. They're priced and built for institutional allocators already past first close: five-figure annual contracts, firm-level data models, and research depth most emerging managers don't need yet. Preqin's 190,000+ records are unmatched for mandate history on a $100M+ raise; FINTRX is the deepest family-office dataset that exists if budget isn't the constraint; PitchBook is the standard for deal and fund-performance research, with LP contacts as a secondary feature. None of the three is built for "email an emerging manager LP tomorrow" — that's a different job than the one they're solving.
Best choice by fund profile
First-time GP, $10–50M fund
Altura Data. You need SFO and fund-of-funds contacts who say yes to Fund I, at a price that doesn't eat into a fund that isn't generating fees yet.
Fund II, expanding geography
Altura Data, cross-referenced with country-level coverage — the 6-month refresh keeps contacts current as you widen your net beyond Fund I's home market.
International raise, volume-first
LPbacked. If breadth across 133 countries matters more than price and you're comfortable with ongoing billing.
$100M+ raise, institutional LPs
Preqin. Once you're courting pensions and sovereign wealth funds with real allocation history requirements, the five-figure annual cost is proportionate to the check sizes involved.
How to find the right LPs faster, once you have a database
Owning a database doesn't finish the job — the filtering and sequencing decide whether it turns into meetings.
- Filter by LP type before geography. Over 60% of new VC funds are Fund I. Single-family offices are the most accessible LP type for a first close — many explicitly seek the return premium of backing first-time GPs, and can decide in 4–8 weeks without an investment committee. Start there, then layer in fund-of-funds with dedicated emerging-manager programs.
- Match stage and check size before you email anyone. An LP whose typical commitment is $5M isn't a fit for a $15M first close, and vice versa — filtering wastes fewer of your 20 best conversations on the wrong-size check.
- Cross-reference mandate, not just capital. "Has money" isn't a qualifier. "Has invested in a fund your size, strategy, and sector before" is.
- Import to a CRM and sequence outreach in batches, not one mass send — track opens, replies, and meeting rate by LP type so the list gets smarter as you go, not just smaller.
- Revisit the list as your fund evolves. The LPs right for a $15M first close aren't always the same ones right for a $40M second fund — re-filter at each raise rather than reusing last round's list untouched.
Common mistakes emerging managers make with LP data
- Buying an institutional database before a first close. Preqin and PitchBook are built for research depth, not outreach volume at your price point — you'll pay five figures for data 95% of which you'll never contact.
- Treating contact count as the only metric. 19,000 contacts you can't qualify by LP type is worse than 1,000 you can — see criteria above.
- Mass-emailing the full list at once. Sequencing in small batches and tracking response by LP type consistently outperforms a single blast, and it's the only way to learn what's actually working.
- Ignoring mandate fit for capital size. An LP with the check size you need but no history backing funds like yours converts far worse than a smaller LP whose mandate is a genuine match.
- Letting a subscription outlive the fundraise. A monthly LP database that keeps billing after your list is built is dead cost against a fund that isn't generating management fees yet.
A note on overlap: if you're evaluating institutional-grade coverage (pensions, endowments, sovereign wealth funds, fund-of-funds) rather than a Fund I/II-specific list, see our Institutional Investor Database comparison — same emerging-manager audience, broader LP-type coverage and a different product tier (Full Network Pack vs. this page's Standard LP Pack focus).
Get the database — pay once, own it forever
5,800+ verified LP contacts. 105 countries. No subscription, no renewal, no per-seat pricing. Includes 6-month data refresh.