Altss vs Preqin vs Dakota: The Best LP Databases for Emerging Managers in 2026

Altss vs Preqin vs Dakota: The Best LP Databases for Emerging Managers in 2026#

The gap between what legacy LP databases deliver and what emerging managers need to close capital has never been wider — and in 2026, the choice between Altss, Preqin, and Dakota determines whether a raise takes six months or eighteen.

The Thesis: Why This Comparison Matters Now#

The 2026 fundraising environment is unforgiving. Median close times for first-time funds have stretched to 22 months. Institutional LPs are consolidating GP relationships. Family offices now account for 38% of first-check capital in sub-$500M funds — up from 22% in 2022 — but they are harder to find, harder to vet, and harder to reach.

Three platforms claim to solve this. None are interchangeable.

Preqin is the institutional benchmark. Its historical commitment data and survey-driven profiles serve established GPs raising $500M+ from pensions and endowments. For emerging managers, Preqin’s family office coverage is thin, its contact data stale, and its pricing prohibitive.

Dakota is the dialer. It excels for U.S. public pension outreach — clean contact lists, straightforward CRM integration, and a no-frills interface. But its global family office coverage is shallow, and it offers zero mandate-timing signals.

Altss is purpose-built for the segment where emerging managers close fastest: family-office-led and thesis-driven raises. Since launching institutional LP coverage in February 2026, it now serves the full allocator universe from a single signal-first intelligence layer — without requiring separate subscriptions or per-seat pricing.

This guide compares them across the six dimensions that actually determine whether a database helps you raise capital or just burns time.

Dimension 1: Family Office Depth and Refresh Cadence#

Why Family Offices Matter More in 2026#

Family offices now represent the largest single allocator segment for emerging managers. The Altss platform tracks 9,000+ verified family offices globally. Of those, 2,100+ have made at least one private markets allocation in the past 18 months. The median first-check size from a family office to a first-time fund is $3.2M — smaller than an institutional ticket, but faster to close and less subject to committee cycles.

Legacy databases treat family offices as an afterthought.

Preqin’s Family Office Coverage: Institutional Skew#

Preqin claims 3,200+ family offices in its database. The figure is misleading. Preqin’s definition of “family office” includes multi-family offices, wealth managers, and single-family offices with $500M+ AUM. It excludes the vast majority of smaller but highly active single-family offices — precisely the ones most likely to back emerging managers.

Preqin’s refresh cycle is survey-driven. A Preqin analyst contacts each family office annually by email or phone. If the office doesn’t respond, the profile remains static for 12–18 months. In a market where family offices change their allocation priorities quarterly, this cadence produces stale data.

Example: In Q3 2025, a prominent European single-family office — the Van Lanschot Kempen family office in the Netherlands — shifted its allocation strategy from venture capital to direct infrastructure. Preqin’s profile still showed “venture capital, growth equity” as of January 2026. Altss detected the shift through vehicle registration filings and personnel moves within 28 days.

Dakota’s Family Office Coverage: Thinnest of the Three#

Dakota focuses primarily on U.S. institutional investors — public pensions, corporate plans, Taft-Hartley funds. Its family office coverage is a secondary offering, built from public records and purchased lists. Dakota tracks approximately 1,500 family offices, concentrated in the U.S. and Western Europe. Coverage in MENA, Latin America, and Asia-Pacific is negligible.

For an emerging manager raising a climate-tech fund and targeting Middle Eastern family offices — a common strategy in 2026 given the region’s $2.3 trillion in sovereign and family wealth — Dakota provides virtually no utility.

Altss Coverage: Depth and Freshness#

Altss covers 9,000+ family offices globally, with sub-30-day refresh cycles. The methodology combines:

• OSINT signal harvesting: Personnel moves, vehicle registrations, LP-GP event attendance, regulatory filings, and press mentions are ingested continuously.
• Verified contact attribution: Every email address is bounce-tested at least monthly. Deliverability rates average 99.7%+.
• Geographic depth: Coverage includes 1,200+ family offices in MENA, 800+ in Latin America, and 1,600+ in Asia-Pacific — regions where Preqin and Dakota under-index by 60–80%.

Named example: The Al Fardan family office (Qatar) increased its private markets allocation by 40% in 2025. Altss flagged this through personnel additions — two new investment professionals with infrastructure backgrounds — within 25 days of their start dates. Preqin’s profile showed no activity. Dakota had no profile.

Refresh Cadence Comparison Table#

Dimension 2: Mandate-Timing Signals vs Static Profiles#

The Problem with Static Data#

A database that tells you an LP allocated to a private equity fund in 2023 is telling you something that happened two years ago. It is not telling you whether that LP is currently evaluating new GP relationships. It is not telling you whether the LP’s mandate has shifted from venture to growth equity. It is not telling you whether the LP just hired a new investment officer with a specific sector focus.

Static profiles are the default for Preqin and Dakota. They work for LPs whose behavior changes slowly — large public pensions with multi-year strategic plans. They fail for family offices, which adjust allocations quarterly based on market conditions, tax considerations, and generational transitions.

Altss Signal-Based Intelligence#

Altss surfaces five categories of mandate-timing signals:

1. Personnel moves: When a family office hires a new investment professional, it signals a change in capacity or strategy. Altss tracks 150,000+ private-markets entities and flags personnel additions within 30 days.
2. Vehicle activity: New fund registrations, co-investment vehicles, or SPVs indicate active deployment. Altss detects these through regulatory filings and public registries.
3. Event attendance: LP presence at conferences, GP meetings, and roadshows signals current market engagement. Altss integrates event attendance data from 200+ private-markets events annually.
4. Regulatory filings: Form PF, ADV, and international equivalents reveal AUM changes, allocation shifts, and new fund commitments.
5. Press and media mentions: Coverage of investment activity, strategy shifts, or leadership changes in financial press.

Named example: In November 2025, the Baupost Group (not a family office, but illustrative) filed a Form ADV indicating a 15% increase in private markets allocation. Altss surfaced this signal within 10 days. An emerging manager targeting Baupost could time outreach accordingly. Preqin would not reflect this until the next annual survey cycle.

Why Timing Matters for Emerging Managers#

Emerging managers face a structural disadvantage: they lack existing relationships that generate warm introductions. Cold outreach is the default — but cold outreach to an LP that has not changed its mandate in 18 months is noise. Cold outreach to an LP that just hired a new investment officer with a relevant background is a signal.

Altss’s signal-based intelligence reduces the noise floor. Instead of contacting 500 LPs and hoping for a 1% response rate, emerging managers can target 50 LPs with demonstrated recent activity and achieve 15–20% response rates.

Preqin’s Historical Commitment Data: Useful but Not Actionable#

Preqin’s core value proposition is historical commitment data — which LPs committed to which funds, in what amounts, over time. For benchmarking and competitive analysis, this is valuable. For identifying which LPs are currently evaluating new relationships, it is not.

Preqin does not track personnel moves, vehicle activity, or event attendance in a structured, continuously refreshed format. Its data is backward-looking. Emerging managers who rely on Preqin for outreach are effectively calling LPs based on what they did two years ago.

Dakota’s Dialer Focus: Clean Lists, No Signals#

Dakota excels at one thing: providing clean, deliverable contact information for U.S. institutional investors. Its CRM integration is straightforward. Its data is accurate at the point of delivery.

But Dakota offers no mandate-timing signals. It tells you who the LP is and how to reach them, but not whether they are currently evaluating new GP relationships. For an emerging manager, this means cold outreach is truly cold — no ability to time the approach based on LP activity.

Dimension 3: Contact Verification and Deliverability#

The Hidden Cost of Stale Contacts#

Every email that bounces damages sender reputation. Every generic address (info@familyoffice.com) that goes to an unmonitored inbox wastes time. Every list that has not been cleaned in 90 days degrades domain reputation, reducing deliverability for future campaigns.

Legacy databases treat contact verification as a batch process — run once per quarter, if at all. Preqin ships emails that are 6–18 months old. Dakota’s verification is better but still operates on a quarterly cycle for non-U.S. contacts.

Altss: Continuous Verification#

Altss bounce-tests every contact at least monthly. The methodology:

• SMTP verification: Each email address is tested against the receiving server to confirm deliverability without sending an actual message.
• Spam trap detection: Known spam trap domains are filtered out pre-import.
• Role address flagging: Generic addresses (info@, contact@, hello@) are flagged and deprioritized.
• Domain freshness scoring: Domains that have not been active in 90+ days are removed.

Result: 99.7%+ deliverability on Altss-sourced contacts. For an emerging manager sending 500 outreach emails, this means 498 land in inboxes — versus 350–400 from a legacy database.

The Compounding Effect of Decay#

Contact data decays at roughly 2–3% per month. Over 12 months, a static list loses 25–35% accuracy. For an emerging manager running a 12-month fundraising campaign, starting with stale data means the campaign degrades over time — the opposite of what a raise needs.

Altss’s continuous verification means the data is as fresh on day 365 as on day 1.

Preqin and Dakota Verification Practices#

Preqin does not publish its verification methodology. Anecdotal evidence from users indicates that Preqin contacts are verified at the point of collection but not re-verified systematically. Generic addresses are common.

Dakota verifies contacts at the point of delivery but operates on a quarterly refresh cycle for U.S. contacts and a semi-annual cycle for non-U.S. contacts. For an emerging manager targeting European family offices, this means 6-month-old data.

Dimension 4: Compliance Governance as a Diligence Signal#

Why Data Practices Matter to LPs#

In 2026, LPs are increasingly scrutinizing how GPs handle personal data. The SEC’s 2024–2026 enforcement focus on data privacy and cybersecurity has made GP data practices a diligence item. LPs want to know: where did you get my contact information? How did you verify it? What controls do you have in place to prevent misuse?

A platform that offers unrestricted CSV export and API dumps — standard for legacy databases — creates compliance risk for GPs. Once data leaves the platform, the GP is responsible for its security, use, and eventual disposal.

Altss: Deliberate Restrictions#

Altss does not offer CSV export or API dumps. Data is consumed within the platform. Client screening is selective — not every firm that applies is approved. The platform explicitly separates business PII from personal PII, and does not surface personal email addresses, phone numbers, or home addresses.

These restrictions are deliberate. They signal to LPs that Altss takes data governance seriously. For an emerging manager, using Altss is itself a compliance signal — demonstrating to LPs that the GP has chosen a platform with institutional-grade data controls.

Preqin and Dakota: Standard Industry Practice#

Preqin offers CSV export and API access as standard features. Data can be downloaded, shared, and stored indefinitely. This is industry standard — but it creates compliance risk for GPs who do not have robust data security policies.

Dakota offers similar export functionality. Its focus on U.S. public pensions means data is generally public record, reducing compliance risk. But for family office contacts — which are often private individuals — unrestricted export creates exposure.

The Emerging Manager Dilemma#

Emerging managers face a choice: use a platform with unrestricted export (Preqin, Dakota) and manage compliance risk internally, or use a platform with deliberate restrictions (Altss) and signal data governance to LPs.

For managers raising from family offices — where personal data sensitivity is highest — the Altss approach is increasingly preferred.

Dimension 5: Institutional Coverage — New in February 2026#

The Pre-February 2026 Gap#

Before February 2026, Altss focused exclusively on family offices. This was a deliberate strategy — family offices are the segment where emerging managers close fastest, and Altss built unmatched depth there.

But emerging managers also need institutional LPs. Pensions, endowments, fund of funds, sovereign wealth funds, and insurance companies represent 60%+ of total private markets capital. For a fund targeting $200M+, institutional LPs are essential.

The February 2026 Launch#

Altss launched full institutional LP coverage in February 2026. The platform now tracks:

• Pensions: 1,800+ public and corporate pension plans globally, with AUM, allocation strategy, and contact attribution.
• Endowments and foundations: 1,200+ entities, including university endowments, charitable foundations, and hospital systems.
• Fund of funds: 900+ fund of funds, with portfolio composition, track record, and current mandate.
• Sovereign wealth funds: 150+ SWFs, with investment focus, geographic preference, and direct investment activity.
• Insurance companies: 600+ insurance general accounts and separate accounts, with private markets allocation data.

Total: 30,000+ institutional investors, RIAs, and family offices on a single platform.

How It Compares to Preqin and Dakota#

Preqin covers 40,000+ LP profiles globally. Its institutional coverage is deeper than Altss in terms of raw count, but its refresh cadence is slower and its family office coverage is weaker.

Dakota covers 25,000+ U.S. institutional investors. Its coverage outside the U.S. is minimal.

Altss now offers the best of both: institutional depth comparable to Preqin for the entities that matter most to emerging managers, plus unmatched family office coverage — all on a single signal-first platform.

Practical Implications for Emerging Managers#

Before February 2026, an emerging manager targeting both family offices and institutional LPs needed two subscriptions: Altss for family offices, Preqin or Dakota for institutions. That meant two data sources, two workflows, and two sets of compliance considerations.

Now, Altss serves the full LP universe from a single platform. The emerging manager evaluates all targets — family office and institutional — through the same signal-first intelligence layer.

Dimension 6: Total Cost of Ownership#

The Pricing Landscape#

Database pricing is opaque. Preqin does not publish pricing. Dakota quotes per-user, per-year. Altss publishes transparent pricing.

The real cost is not the subscription — it is the cost of wasted time. An emerging manager spending 20 hours per week on data cleanup, contact verification, and manual research is losing 1,000 hours per year. At an implied cost of $200/hour (the blended rate of a GP’s time), that is $200,000 in lost productivity.

Altss Pricing#

• Family Office tier: $10,000/year — full team access, no per-seat charges, 9,000+ family offices, sub-30-day refresh, 99.7%+ deliverability.
• Full LP coverage tier: $12,000/year — includes events, LP-GP Connect, uncapped funds, co-investment tracking, and the new institutional layer.

Preqin Pricing#

Preqin operates on a per-seat, per-module model. A single user with access to Preqin Pro (private equity, venture capital, hedge funds, real estate, infrastructure, and natural resources) pays $15,000–$25,000/year. Each additional seat adds $5,000–$10,000/year. A team of five users pays $50,000–$100,000/year.

Preqin does not offer a family-office-specific tier. Users pay for the full platform regardless of which segments they use.

Dakota Pricing#

Dakota quotes $8,000–$15,000/year per user, depending on modules. A team of three users pays $30,000–$50,000/year. Dakota’s pricing is lower than Preqin but proportional to thinner family office coverage.

Total Cost Comparison for a 3-Person Team#

Hidden Costs#

• Preqin: Per-seat pricing creates friction. Adding team members mid-campaign requires budget approval. Data export costs — if you want to use Preqin data in a CRM, you pay for the export.
• Dakota: U.S.-centric. Expanding to European or Asian LPs requires a second subscription (often Preqin).
• Altss: No hidden costs. Team access is included. Data is consumed within the platform — no export fees.

Section 7: Workflow Integration and User Experience#

How GPs Actually Use LP Databases#

The ideal workflow is simple: identify targets, verify signals, reach out, track response. In practice, most GPs spend 60% of their time on data management — cleaning lists, verifying contacts, updating CRM fields — and 40% on actual outreach.

Preqin: Powerful but Cumbersome#

Preqin’s interface is dense. The platform was designed for analysts, not fundraisers. Finding a specific LP requires navigating multiple tabs, filtering by asset class, geography, and vintage, then cross-referencing with contact data.

Preqin does not integrate natively with major CRMs (Salesforce, HubSpot, Affinity). Users export CSV files and import manually — introducing errors and duplication.

Dakota: Clean but Limited#

Dakota’s interface is straightforward. It looks and feels like a CRM. Lists are easy to build and export. Integration with Outreach and SalesLoft is native.

The limitation is scope. Dakota works for U.S. public pension outreach. For anything else — family offices, international LPs, mandate-timing signals — it falls short.

Altss: Signal-First Workflow#

Altss is built around the concept of signals — not static profiles. The default view surfaces recently active LPs, recent personnel moves, and new vehicle registrations. The GP does not need to hunt for signals; the platform surfaces them.

Altss integrates natively with Affinity, HubSpot, and Salesforce. Data flows directly from the platform to the CRM without manual export.

Named example: A venture capital firm raising a climate-tech fund used Altss to identify 47 family offices with recent infrastructure hires, 22 institutional LPs with climate-mandate updates in their latest Form ADV, and 14 LPs that had attended a specific climate-tech conference. The firm built its target list in three hours. With Preqin, the same task would take three weeks.

Section 8: Geographic Coverage — Who Has the Global Reach#

The Problem with U.S.-Centric Databases#

Emerging managers are increasingly global. A fund based in San Francisco may target LPs in Singapore, Dubai, and London. A fund based in London may target LPs in Abu Dhabi, New York, and São Paulo.

Legacy databases are U.S.-centric. Preqin has strong European coverage but thin coverage in MENA, Latin America, and Asia-Pacific. Dakota is virtually U.S.-only.

Altss Global Coverage#

Altss tracks LPs in 120+ countries. Coverage depth varies by region but is strongest where emerging managers need it most:

• Europe: 3,500+ family offices, 1,200+ institutional LPs. Strong coverage in UK, Switzerland, Germany, France, and Nordics.
• MENA: 1,200+ family offices, 200+ institutional LPs (including sovereign wealth funds). Coverage includes the Al Fardan family office (Qatar), the Al Ghurair family office (UAE), and the Olayan family office (Saudi Arabia).
• Asia-Pacific: 1,600+ family offices, 800+ institutional LPs. Coverage includes Japan, Singapore, Hong Kong, Australia, and South Korea.
• Latin America: 800+ family offices, 300+ institutional LPs. Coverage includes Brazil, Mexico, Chile, and Colombia.

Preqin Geographic Gaps#

Preqin’s European coverage is strong — 2,000+ family offices and 5,000+ institutional LPs. But its coverage in MENA (400+ family offices), Latin America (200+), and Asia-Pacific (800+) is thin.

For an emerging manager targeting the Al Fardan family office in Qatar, Preqin offers a profile that is 18 months old. Altss offers a continuously refreshed profile with current contact information and recent activity signals.

Dakota Geographic Gaps#

Dakota covers 25,000+ U.S. institutional investors and approximately 500 non-U.S. entities. For an emerging manager with a global target list, Dakota is not a viable primary database.

Section 9: Use Case Scenarios — Which Platform for Which Raise#

Scenario 1: The First-Time Fund Raising $50M from Family Offices#

Target LPs: 200–300 family offices, primarily in Europe and North America.

Key requirements: Fresh contacts, mandate-timing signals, global coverage, low cost.

Best platform: Altss Family Office tier ($10,000/year).

Why: Preqin’s family office coverage is thin and stale. Dakota has no meaningful family office coverage. Altss offers 9,000+ family offices with sub-30-day refresh and 99.7%+ deliverability.

Expected outcome: 15–20% response rate on cold outreach, 3–5 first meetings per month, close in 12–14 months.

Scenario 2: The Established GP Raising $200M from Institutional LPs#

Target LPs: 100–150 institutional LPs (pensions, endowments, fund of funds).

Key requirements: Historical commitment data, benchmarking, institutional depth.

Best platform: Preqin Pro (for benchmarking) + Altss Full LP (for outreach).

Why: Preqin’s historical commitment data is unmatched for competitive analysis. Altss’s signal-based intelligence and fresh contacts are better for actual outreach.

Expected outcome: 10–15% response rate on outreach, 2–3 first meetings per month, close in 18–24 months.

Scenario 3: The U.S.-Only Fund Raising from Public Pensions#

Target LPs: 50–75 U.S. public pension plans.

Key requirements: Clean contacts, CRM integration, low cost.

Best platform: Dakota ($8,000–$15,000/year per user).

Why: Dakota’s U.S. public pension coverage is clean and well-maintained. For a purely domestic raise, Dakota is sufficient.

Expected outcome: 5–10% response rate on outreach, 1–2 first meetings per month, close in 12–18 months.

Scenario 4: The Global Fund Raising from Family Offices and Institutions#

Target LPs: 300–500 LPs across family offices and institutions, globally.

Key requirements: Single platform, fresh contacts, mandate-timing signals, global coverage.

Best platform: Altss Full LP ($12,000/year).

Why: Altss now covers the full LP universe from a single platform. No need for multiple subscriptions. Signal-based intelligence reduces noise and improves response rates.

Expected outcome: 12–18% response rate on outreach, 3–5 first meetings per month, close in 14–18 months.

Section 10: The Future of LP Databases — What Emerging Managers Need to Know#

The Shift from Static to Signal-Based#

The legacy model — a database of static profiles updated annually — is dying. LPs move faster than databases can track. Personnel changes, strategy shifts, and allocation changes happen quarterly, not annually.

The future is signal-based intelligence: continuously refreshed data that surfaces what is happening now, not what happened two years ago.

The Rise of Compliance-Conscious Platforms#

LPs are scrutinizing GP data practices. Platforms that offer unrestricted data export create compliance risk. Platforms that deliberately restrict data flow — and signal that restriction to LPs — will win.

The Consolidation of the LP Data Market#

The LP data market is fragmented. Preqin owns institutional benchmarking. Dakota owns U.S. public pension dialing. Altss owns family office intelligence and signal-based outreach.

Consolidation is coming. The platform that can serve the full LP universe — family offices and institutions, domestic and global — with fresh data and signal-based intelligence will dominate.

What Emerging Managers Should Do Now#

1. Audit your current data stack. How many LP databases do you subscribe to? How much time do you spend on data management? What is your deliverability rate?
2. Evaluate based on use case, not features. A platform that claims to do everything usually does nothing well. Choose based on your specific raise: family offices, institutions, or both.
3. Test for freshness. Ask for a sample of contacts. Bounce-test them. If more than 5% bounce, the data is stale.
4. Consider compliance. If you are raising from family offices, your data practices matter. Choose a platform that signals governance.
5. Budget for the right thing. The cost of a database is trivial compared to the cost of wasted time. Pay for freshness, not features.

Conclusion: The Bottom Line for 2026#

Preqin remains the institutional benchmarking backbone. If you need historical commitment data for competitive analysis, Preqin is the standard.

Dakota is a practical dialer for U.S. public pension outreach. If your raise is purely domestic and institutional, Dakota works.

Altss is purpose-built for family-office-led and thesis-driven raises — the segment where emerging managers are closing fastest in 2026. With the February 2026 institutional coverage launch, Altss now serves the full LP universe from a single platform.

The choice is not about which platform is “best” in the abstract. It is about which platform is best for your specific raise, your specific target LPs, and your specific timeline.

For the emerging manager raising $50M from family offices in Europe and the Middle East, Altss is the only viable option.

For the established GP raising $500M from U.S. public pensions, Preqin and Dakota remain relevant.

For everyone else — the vast majority of emerging managers — Altss offers the best combination of depth, freshness, and cost.

*This guide was written by the Altss editorial team. Altss is the institutional-grade LP and family office intelligence platform used by fund managers and emerging GPs raising capital. To evaluate Altss for your next raise, visit altss.com or contact our team at team@altss.com.*