Reviewed, not scored
AI context tools we reviewed but did not score
Short answer
Stardog, data.world (now ServiceNow Data Catalog), Modus and Jedify all position themselves around context for AI agents. Our sources did not cover enough of the nine criteria to score them without guessing, so we list what we found and what is missing.
By The Lineage Desk · Best Data Catalogs · Published
Desk research from public vendor pages. Editorial assessment.
What is Stardog, and why is it not scored?
Our reads did not cover lineage, metadata automation or BI coverage, and Stardog's MCP server appears only in a secondary source, so too many criteria would be guesses.
| Fact | What we found |
|---|---|
| Positioning | "Semantic AI platform for the enterprise"; page title "The Knowledge Graph-Powered Semantic Layer". Unifies data where it lives and adds semantic context for AI agents. Source: Stardog homepage |
| Pricing | Stardog Free at no cost (not open source, renewable license); Enterprise pricing on request. Source: Stardog pricing |
| Deployment | Stardog Enterprise for on-prem, Stardog Cloud and cloud marketplace offerings. Source: Stardog pricing |
| Support | The Enterprise license includes base support, a dedicated customer success rep and access to solutions architects. Source: Stardog pricing |
Strengths
- A free edition and an on-prem option.
- A knowledge-graph approach that unifies data where it lives.
Limits
- Lineage, metadata automation and BI coverage are not described on the pages we read.
- Enterprise pricing is not published.
- Documented on the vendor's pages
- Not documented on the pages we read
1Warehouse and lakehouse: Documented
Unifies data where it lives.
Source: Stardog homepage
2Transformation (dbt, ETL): Not documented
Not described on the pages we read.
3BI and semantic logic: Not documented
Not described on the pages we read.
4Governance and access rules: Not documented
Not described on the pages we read.
5Delivery to agents (MCP or API): Not documented
An MCP server was not confirmed on the vendor pages we read.
What is data.world (ServiceNow Data Catalog), and why is it not scored?
data.world is now sold as ServiceNow Data Catalog with the ServiceNow AI Platform. Its own site could not be opened, and agent delivery, lineage and time to value were not stated on the ServiceNow page we read.
| Fact | What we found |
|---|---|
| Ownership | ServiceNow announced an agreement to acquire data.world on 7 May 2025; terms not disclosed. Source: ServiceNow newsroom (read as a search summary) |
| Product | ServiceNow Data Catalog: centralized metadata, built-in governance and a knowledge graph; a semantic layer adds business meaning to metadata for AI agents; AI-powered search and chat-like exploration. Source: ServiceNow Data Catalog |
| Availability and price | Available with the ServiceNow AI Platform. No public price. Source: ServiceNow Data Catalog |
| Integrations | Snowflake, Databricks, AWS, BigQuery, Oracle and "100+ platforms through zero-copy architecture". Source: ServiceNow Data Catalog |
| Governance | Automated workflows for access requests, stewardship and compliance; sensitive data tracking; policy enforcement. Source: ServiceNow Data Catalog |
| Customer named | Eutelsat. Source: ServiceNow Data Catalog |
Strengths
- A knowledge graph and semantic layer aimed at AI agents.
- Governance workflows inside the ServiceNow platform.
Limits
- Tied to the ServiceNow AI Platform.
- No MCP server is stated, and no public price.
- Documented on the vendor's pages
- Not documented on the pages we read
1Warehouse and lakehouse: Documented
Snowflake, Databricks, AWS, BigQuery and Oracle.
Source: ServiceNow Data Catalog
2Transformation (dbt, ETL): Not documented
Not described on the page we read.
3BI and semantic logic: Not documented
Not described on the page we read.
4Governance and access rules: Documented
Governance workflows and policy enforcement.
Source: ServiceNow Data Catalog
5Delivery to agents (MCP or API): Not documented
Delivery mechanism to agents is not stated.
What is Modus, and why is it not scored?
Modus is early-stage. Integrations, customers, lineage depth and pricing were not stated in the page text we read, so most criteria could not be scored from facts.
| Fact | What we found |
|---|---|
| Positioning | "The Context Warehouse for Enterprise AI": automatically mine, compose and deliver intent-based context to any AI platform; sections Connect, Learn, Govern, Compose. Source: Modus homepage |
| Agents | "Claude, Cursor, or in-house: your agents call Modus over MCP or API and get back permission-checked context." Source: Modus homepage |
| Security | The security section lists SOC 2, ISO 27001, GDPR, HIPAA and CCPA. Source: Modus homepage |
| Pricing | No public price found. Source: Modus homepage |
Strengths
- MCP or API delivery with permission-checked context.
- A security section listing SOC 2 and ISO 27001.
Limits
- Integrations, customers and lineage are not stated in the page text we read.
- No public price.
- Documented on the vendor's pages
- Not documented on the pages we read
1Warehouse and lakehouse: Not documented
Not stated in the page text we read.
2Transformation (dbt, ETL): Not documented
Not stated in the page text we read.
3BI and semantic logic: Not documented
Not stated in the page text we read.
4Governance and access rules: Documented
Permission-checked context.
Source: Modus homepage
5Delivery to agents (MCP or API): Documented
MCP or API.
Source: Modus homepage
What is Jedify, and why is it not scored?
jedify.com could not be opened, so product pages, pricing and agent delivery were not read; MCP is not mentioned in the funding release we read.
| Fact | What we found |
|---|---|
| Positioning | "The autonomous context graph for data-intensive agentic applications and workflows", with patent-pending Semantic Fusion technology. |
| What the graph holds | Metric definitions, entity relationships, lineage, permissions, business rules and terminology, from warehouses, CRMs, financial systems and BI tools plus documents, playbooks, Slack and meeting recordings. Model-agnostic. |
| Snowflake | Integrates with Snowflake Cortex AI, including Semantic Views, Cortex Analyst and Snowflake CoWork. |
| Funding | $24M Series A led by Norwest with Snowflake Ventures and others (10 June 2026); total just over $33 million. |
| Customer named | The Weather Company. |
Strengths
- Covers structured and unstructured sources in one context graph.
- Deep Snowflake Cortex integration.
Limits
- Product pages and pricing could not be read.
- Agent delivery (MCP or API) is not stated in the release.
- Documented on the vendor's pages
- Not documented on the pages we read
1Warehouse and lakehouse: Documented
Warehouses and Snowflake Cortex.
2Transformation (dbt, ETL): Not documented
Not described in the release.
3BI and semantic logic: Documented
BI tools are named as sources.
4Governance and access rules: Documented
Permissions and business rules in the graph.
5Delivery to agents (MCP or API): Not documented
Delivery mechanism to agents is not stated.
Frequently asked questions
Will these tools be scored later?
Yes, once their public pages cover the criteria. Send a correction with sources through the contact page.
Is a tool that is not scored worse than one that is?
No. Not scored means not enough published evidence for our criteria, not a judgment on the product.
Read next
- The ranking
The nine scored platforms.
- Scoring model
What evidence a score needs.
- Platform-native options
Snowflake Horizon and Databricks Unity Catalog.