dbt Semantic Layer vs Kyligence
dbt Semantic Layer
getdbt.comKyligence
kyligence.ioSide by side
| Figure | dbt Semantic Layer | Kyligence |
|---|---|---|
| Price from | $0.09/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 5 | 0 |
| Spec score · Semantic Layer Software | 9.2 (#2) | 8.0 (#13) |
| Founded | 2016 | 2016 |
| Headquarters | Oakland, California, United States | San Jose, California, United States; Shanghai, China |
| Integrations | The product page says the Semantic Layer offers an API, the dbt MCP Server, and dozens of out-of-the-box integrations for BI, notebooks, spreadsheets, embedded analytics, and AI systems. | Kyligence's semantic layer supports Excel, Power BI, Tableau, and MicroStrategy. |
| Intended users | The product is presented for data teams seeking governed, consistent metrics for analytics, embedded applications, and AI use cases. | Kyligence describes its platform as serving organizations across financial services, manufacturing, and retail. |
| Support | The pricing page lists 24x5 support for Starter and priority support with SLAs for Enterprise. | The cloud deployment page offers a product tour with a Kyligence expert and links to a QuickStart guide. |
| What it does | The Semantic Layer centralizes metric definitions in dbt and generates queries with joins for downstream tools. | Kyligence Zen is a metrics platform for defining, managing, and analyzing business metrics across an organization. |
Plans
dbt Semantic Layer
- DeveloperFree
- dbt State add-on$0.09 a month
- Starter$100 a month
- EnterprisePriced on request
- Enterprise+Priced on request
In their own words
dbt Semantic Layer
The dbt Semantic Layer centralizes metric definitions on dbt models and handles joins so downstream tools and applications can use metrics consistently. MetricFlow generates SQL at query time from semantic model and metric configurations. Teams define those models and metrics in YAML as version-controlled, lineage-aware code. MetricFlow can optimize joins, rewrite queries to reduce compute and latency, and cache repeated queries. The product offers an API, the dbt MCP Server and integrations for BI tools, notebooks, spreadsheets, embedded analytics and AI systems. GraphQL and JDBC APIs and a Python SDK provide ways to query metrics and dimensions; Claude and ChatGPT can connect to governed metrics through the MCP server. Documented warehouse platforms include Snowflake, BigQuery, Databricks and Redshift. Defining and querying metrics requires a dbt Starter or Enterprise-tier account, and single-tenant accounts need account-representative setup and enablement. Starter includes 5,000 queried metrics per month; Enterprise and Enterprise+ each include 20,000. Starter costs $100 a month per user. The free Developer plan does not list the Semantic Layer.
Kyligence
Kyligence helps organizations define, govern, and analyze business metrics through a shared catalog and semantic layer. Kyligence Zen provides a place to manage metrics for use in downstream BI tools and applications, while Kyligence Copilot lets users ask questions about metrics in natural language, analyze them, and receive recommendations. For multidimensional analysis, Kyligence Enterprise returns standard SQL query responses on petabyte-scale data lakes. The platform also lists SQL, MDX, and REST API interfaces, and connects with tools such as Excel, Power BI, Tableau, MicroStrategy, and Cognos. Supported data connectors include Impala, Oracle, Greenplum, GBase, MySQL, Snowflake, and Azure Synapse. Deployment options include cloud and on-premises, described as a hybrid model; listed cloud platforms include AWS, Microsoft Azure, Huawei Cloud, and Google Cloud. Security measures include end-to-end encryption, row- and column-level controls, backups, and recovery mechanisms. Kyligence lists SOC 2 Type 1, ISO 27001, and ISO 9001 certifications. Pricing is on request, and a free trial is offered; trial terms may limit use to internal evaluation in a non-production environment for up to 30 days unless otherwise specified in writing.