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Sema vs Zenlytic Metrics Layer

Sema

semalayer.com

Zenlytic Metrics Layer

github.com

Side by side

FigureSemaZenlytic Metrics Layer
Price from$49/moFree
Free planYesYes
Free trialYes—
Open source——
WebYes—
APIYesYes
Self-hostedYes—
Plans published41
Spec score · Semantic Layer Software8.7 (#4)7.0 (#23)
SupportThe Pro plan includes email support, Business includes priority support, and Enterprise includes a named customer success manager.Zenlytic's support policy lists email support for technical issues, account configuration, data connectivity, and billing questions, plus an AI support agent available 24/7.

Plans

Sema

  • SandboxFree
  • Pro$49 a month
  • Business$99 a month
  • EnterprisePriced on request

Sema pricing →

Zenlytic Metrics Layer

  • Open-source Metrics LayerFree

Zenlytic Metrics Layer pricing →

In their own words

Sema

Sema is a semantic layer for enterprise AI that connects databases and answers business questions in plain English, with governance controls. It maps tables, joins, metrics, and business terms into a typed graph; verified inferred joins can be reused in later answers. It can ask clarifying questions, show the SQL and graph nodes behind an answer, and select a chart. Users can save and schedule reports for email delivery and set metric alerts for thresholds or deviations. Available connectors include PostgreSQL, MySQL, MariaDB, SQLite, and SQLAlchemy URIs; ClickHouse and Amazon Redshift are in beta, while SQL Server, Snowflake, BigQuery, Databricks, and dbt metadata are on the roadmap. Sema can run in a customer VPC or its own environment; self-hosting uses Kubernetes and Helm with customer-provided Postgres and object storage. The free Sandbox costs nothing and limits use to one connector, one user, 100 monthly chat queries, and five saved reports, without scheduled delivery or alerts. Pro costs $49 a month per user, with a three-seat minimum and a 14-day trial.

Visit semalayer.com

Zenlytic Metrics Layer

Zenlytic Metrics Layer has no write-up on Specifiction yet; its figures are above.

Visit github.com