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Data Catalog Software · Rank #4 of 10

data.world review and pricing

Knowledge-graph catalog aligned with data mesh and strong in public sector.

By data.world · Founded 2015 · Austin, TX · private

data.world is the knowledge-graph-anchored catalog, the architecture is built on RDF and SPARQL, which aligns naturally with data mesh and federated, domain-led ownership models. Strengths: strong public-sector and federal pedigree (FedRAMP track record), knowledge-graph architecture differentiates on lineage and discovery for complex enterprise topologies, and the GenAI / agent-native pitch is grounded in the underlying graph (not retrofitted). Raised $50M Series C in 2022. Trade-offs: outside data-mesh and public-sector accounts, data.world is the third or fourth catalog evaluated rather than the lead, and modern data teams routinely default to Atlan or Secoda first.

Visit data.world Vendor pricing Compare to Alation
Best for

Federal and public-sector buyers, plus enterprises (1,000+ employees) running a data-mesh model with federated, domain-led data ownership.

Worst for

Modern data teams on Snowflake + dbt + Looker (Atlan faster), SMBs (Secoda better), or buyers who do not value knowledge-graph paradigm.

Vendor Trust Score

Is data.world a trustworthy vendor?

7.6/10
Mixed
Pricing transparency
Published rates; no hidden fees
5.5
Contract fairness
Reasonable terms; no auto-renew traps
7.5
Incident response
How they handle outages and breaches
8.0
Post-acquisition behavior
Customer treatment after M&A or PE
8.5
Executive stability
Leadership churn over 24 months
8.0
Roadmap honesty
Public commitments held
8.0
Trust signal log
  • 2022-04-21
    $50M Series C closed
    Round led by Goldman Sachs Asset Management; positions data.world for federal and enterprise expansion.
  • 2023-11-09
    FedRAMP Moderate authorization confirmed
    Deepens public-sector and federal go-to-market.
  • 2024-10-16
    Eureka GenAI assistant GA
    Agent-native pitch built on the underlying knowledge graph.
  • 2025-08-12
    Data products module launched
    Aligned with data mesh and domain-led ownership narrative.
Vendor Trust is scored independently of product quality. A great product from an unfair vendor still earns a low trust score.
Review Intelligence

What 95 reviews actually say

Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.

Last synthesized
2026-04-29

Praise patterns

  • Knowledge-graph architecture differentiates on complex topologies
    78% →
  • Strong FedRAMP and public-sector references
    64% →
  • Data mesh and data products tooling more mature than peers
    51% ↑
  • Eureka GenAI grounded in the graph (less hallucination)
    38% ↑

Complaint patterns

  • Rarely the lead evaluation outside data mesh or public sector
    64% →
  • Knowledge-graph paradigm has a learning curve
    47% →
  • Connector ecosystem narrower than Collibra or Atlan
    41% →
  • Pricing opaque, enterprise floor typical
    31% →
Sentiment trend (6 months)
82/100 +2 pts
12
01
02
03
04
05
Patterns are extracted from review corpus and human-verified. We surface trends, not anecdotes.
Verified Pricing

What buyers actually pay

64 anonymized deal disclosures · last updated 2026-05-01

Contribute your deal price
Company size Median annual
500-1,000 employees $120,000
1,000-5,000 employees $264,000
5,000+ employees $600,000
Verified pricing is crowdsourced from buyers under anonymity guarantees. Vendor-listed prices are validated against actual deals quarterly.
Compliance & Security

Auto-verified certifications

Verified 2026-05-01
SOC 2 Type II
ISO 27001
HIPAA
GDPR
CCPA
PCI DSS
FedRAMP Authorized

Editorial: Strengths

  • Knowledge-graph (RDF/SPARQL) architecture aligns with data mesh
  • Strong federal and public-sector references (FedRAMP track record)
  • Lineage and discovery for complex enterprise topologies
  • GenAI and agent-native pitch grounded in the underlying graph
  • Mature business glossary and ontology tooling
  • Strong community and open data heritage
  • Hybrid and on-prem deployment available for federal

Editorial: Weaknesses

  • Outside data-mesh and public sector, rarely the lead evaluation
  • Modern data teams default to Atlan or Secoda first
  • Knowledge-graph paradigm has a learning curve for SQL-only teams
  • Pricing opaque; enterprise floor typical
  • Connector ecosystem narrower than Collibra or Atlan

Key features & integrations

  • +Knowledge-graph (RDF/SPARQL) data model
  • +Business glossary and ontology
  • +Column-level lineage
  • +Data mesh and data products tooling
  • +Eureka GenAI assistant
  • +FedRAMP-authorized deployment option
  • +Open data and community features
  • +Federation across distributed domains
80+ integrations
SnowflakeDatabricksBigQueryTableauPower BISalesforceAWS Glue
Geography supported
Global; strongest in US federal and public sector
Best fit
500-50,000+ employees · Enterprise and public sector, data-mesh adopters
Editorial deep-dive

Read our full ranking of Data Catalog Software

data.world ranks #4 in our editorial review of 10 data catalog software platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.

Read the full ranking

Closest alternatives in Data Catalog Software

#3
Alation
Snowflake-investor-anchored catalog with deep BI and DW metadata integration.
★ 4.4 opaque
#5
Secoda
Modern SMB-to-mid-market catalog with strong AI-assisted documentation.
★ 4.7 public
#2
Atlan
Modern stack-native catalog with the fastest product velocity in the category.
★ 4.7 opaque
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