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Better Together

PlexiFact
+ Snowflake

Snowflake is a powerful cloud warehouse. PlexiFact is the fund-data layer. Many of our customers run both - PlexiFact ships a bidirectional Snowflake connector, and we routinely deploy on top of, alongside, or behind a Snowflake estate. This page is about where each shines, not which one "wins."

  • Domain-native NAV, lineage, multi-currency, recon - not custom-built every time
  • Bidirectional Snowflake connector - read warehouse tables in, push curated outputs back
  • ~60 days to a working fund-data layer, whether you run Snowflake or not
Get a Fit Check See Side-by-Side
Snowflake stack
  • Fivetran ETL · ingest
  • Snowflake Warehouse
  • dbt Transform
  • Tableau BI
  • Collibra Governance
  • + SI partner · custom integration · multi-vendor SLAs
$5M+ · 12-18 months 5+ contracts
PlexiFact
  • 01
    INGEST Domain connectors
  • 02
    RECONCILE ML quality + ontology
  • 03
    STORE Lakehouse · lineage
  • 04
    ANALYZE BI · AI / ML · API
  • + embedded engineer · 1 SLA · 60-day guarantee
$195K · 60 days 1 contract

Where Each Shines

Side by Side

Different jobs, different strengths. Most of our customers use both.

Dimension
PlexiFact
Snowflake
Primary role
Fund-data layer + connectors
Cloud warehouse + compute
Schema
Domain-native (NAV, lineage, recon)
You define it
Financial connectors
24+ built-in (Bloomberg, Citco, BNY)
Custom ETL or partner add-on
Compute scale
Right-sized for fund ops
Massive elastic parallel
Multi-cloud
Cloud-agnostic
AWS, Azure, GCP native
Time-to-first-value
~60 days with embedded team
Days to spin up, months to build domain layer
Governance & lineage
Built-in for fund data
Horizon Catalog + custom rules
Reconciliation
Out-of-the-box, domain-aware
Build with SQL + dbt
Pricing model
Tier-based, predictable
Credit-based (compute + storage)
Works together?
Yes - bidirectional Snowflake connector
Yes - PlexiFact reads/writes Snowflake

Sweet Spots

Where Each Shines

Neither tool is "better" - they solve different problems. Here is how we think about scope.

S

Snowflake is the right answer when

Cloud warehouse + elastic compute

  • Enterprises with broad analytics workloads beyond fund ops (sales, marketing, ML, telemetry)
  • Teams with dedicated data engineering who can model fund schemas in-house
  • Multi-cloud parallel compute at scale (TB-PB workloads with bursty patterns)
  • Organizations already invested in a warehouse-centric data stack
P

PlexiFact is the right answer when

Fund-data layer + connectors

  • Alternative asset managers needing a fund-data layer fast (LP reporting, multi-prime recon, portfolio aggregation)
  • Teams without dedicated data engineering capacity to build the domain layer themselves
  • Firms that want connectors, schema, and lineage shipped together rather than assembled
  • Organizations running Snowflake who need a purpose-built fund-data layer on top

Integration

How PlexiFact + Snowflake Work Together

Three deployment patterns we see most often. None of them require you to abandon what you already have.

PlexiFact reads from Snowflake

Use Snowflake as a source: PlexiFact ingests warehouse tables, applies fund-data schema and lineage, and exposes them through governed connectors for downstream consumers.

PlexiFact writes to Snowflake

Run PlexiFact as the data-ops layer and land curated, reconciled outputs in Snowflake for enterprise BI, regulatory archives, or cross-team analytics.

Snowflake as the compute backend

For customers standardized on Snowflake, PlexiFact can delegate heavy SQL workloads to Snowflake warehouses while keeping fund-data orchestration and governance in PlexiFact.

Already running Snowflake?

Good - we will plug into it. Let us scope the fund-data layer that sits on top, and we will give you an honest read on which deployment pattern fits.

Get a Fit Check Open ROI Calculator