# Paradime: Integrations

## Integrations

- [Integrations](https://docs.paradime.io/integrations/index.md): Connect Paradime to tools across your data stack: ingestion, orchestration, warehouses, BI, observability, alerting, project management, git, and secrets.
- [Connecting integrations](https://docs.paradime.io/integrations/connecting-integrations.md): Learn how to connect integrations in Paradime: data warehouses are configured per environment, while other tools connect in Workspace Settings > Integrations.
- [Airflow](https://docs.paradime.io/integrations/airflow.md): Overview of the Paradime Airflow integration: trigger Bolt schedules from Apache Airflow DAGs using the Paradime dbt provider and wait for completion.
- [Amazon Athena](https://docs.paradime.io/integrations/amazon-athena.md): Connect Amazon Athena to Paradime to run dbt™ against your S3 data lake from the Code IDE, schedule Bolt jobs, and use Agent sessions.
- [Amazon S3](https://docs.paradime.io/integrations/amazon-s3.md): Configure Paradime to store your Bolt schedule logs and dbt run artifacts in your own AWS S3 bucket inside your VPC for secure, private log retention.
- [AWS ECS](https://docs.paradime.io/integrations/aws-ecs.md): Run AWS ECS task definitions from Paradime Bolt schedules so you can execute containerized dbt™ workloads and downstream jobs in your pipelines.
- [AWS Glue](https://docs.paradime.io/integrations/aws-glue.md): Trigger AWS Glue workflows and jobs from Paradime Bolt schedules to orchestrate serverless ETL and data prep alongside your dbt™ transformations.
- [AWS Lambda](https://docs.paradime.io/integrations/aws-lambda.md): Invoke AWS Lambda functions from Paradime Bolt schedules to run custom serverless logic before, between, or after your dbt™ model runs.
- [AWS SageMaker](https://docs.paradime.io/integrations/aws-sagemaker.md): Trigger AWS SageMaker pipelines from Paradime Bolt schedules so you can run machine learning workflows after your dbt™ models complete.
- [AWS Secret Manager](https://docs.paradime.io/integrations/aws-secret-manager.md): Reference AWS Secrets Manager secrets by ARN in your Paradime environment variables and connection profiles, without storing plaintext credentials.
- [AWS Step Functions](https://docs.paradime.io/integrations/aws-step-functions.md): Start AWS Step Functions state machines from Paradime Bolt schedules so you can run downstream workflows as part of your dbt™ pipelines.
- [Azure Data Factory (ADF)](https://docs.paradime.io/integrations/azure-data-factory-adf.md): Trigger Paradime Bolt dbt™ schedules from Azure Data Factory using Azure Key Vault, Web activities, and the Paradime API for end-to-end orchestrated runs.
- [Azure DevOps](https://docs.paradime.io/integrations/azure-devops.md): Connect an Azure DevOps Git repository to Paradime using an SSH deploy key so you can develop, branch, and pull request your dbt™ project.
- [Azure Key Vault](https://docs.paradime.io/integrations/azure-key-vault.md): Reference Azure Key Vault secrets by URI in your Paradime environment variables and connection profiles, without storing plaintext credentials.
- [BitBucket](https://docs.paradime.io/integrations/bitbucket.md): Connect a BitBucket Cloud or Server Git repository to Paradime using an SSH deploy key so you can develop, branch, and pull request your dbt™ project.
- [ClickHouse](https://docs.paradime.io/integrations/clickhouse.md): Connect ClickHouse to Paradime to run dbt™ against your ClickHouse Cloud or self-hosted cluster from the Code IDE, Bolt, and Agent environments.
- [Cube CLI](https://docs.paradime.io/integrations/cube-cli.md): Use the Cube CLI in the Paradime terminal to build, validate, and deploy Cube semantic models on top of your dbt project without leaving the Code IDE.
- [Databricks](https://docs.paradime.io/integrations/databricks.md): Connect Databricks to Paradime to run dbt™ against your SQL warehouse or all-purpose cluster from the Code IDE, Bolt, and Agent environments.
- [Dagster](https://docs.paradime.io/integrations/dagster.md): Overview of the Paradime Dagster integration: run Bolt schedules as Dagster assets using the Paradime dagster-dbt fork to orchestrate dbt™ from Dagster.
- [Datadog](https://docs.paradime.io/integrations/datadog.md): Connect Datadog to Paradime to automatically create incidents when your Bolt pipelines fail, and monitor dbt™ pipeline health alongside the rest of your stack.
- [DataHub](https://docs.paradime.io/integrations/datahub.md): Connect DataHub to Paradime so Bolt pushes your dbt™ docs artifacts (models, lineage, columns, and descriptions) to DataHub after every production docs run.
- [dbt Cloud](https://docs.paradime.io/integrations/dbt-cloud.md): Connect dbt Cloud to Paradime to import your dbt Cloud jobs into Bolt for orchestration and pull dbt Cloud run logs into Radar for monitoring and alerting.
- [dbt™ Generator](https://docs.paradime.io/integrations/dbt-generator.md): Use the dbt generator in the Paradime terminal to scaffold and transform dbt base models from your warehouse sources at scale with a single CLI command.
- [Dremio](https://docs.paradime.io/integrations/dremio.md): Connect Dremio to Paradime to run dbt™ against your Dremio Cloud or Software project from the Code IDE, Bolt, and Agent environments.
- [DuckDB](https://docs.paradime.io/integrations/duckdb.md): Connect DuckDB to Paradime to run dbt™ against a local or in-memory DuckDB database from the Code IDE, Bolt, and Agent environments.
- [Firebolt](https://docs.paradime.io/integrations/firebolt.md): Connect Firebolt to Paradime to run dbt™ against your Firebolt engines and databases from the Code IDE, Bolt, and Agent environments.
- [Fivetran](https://docs.paradime.io/integrations/fivetran.md): Connect Fivetran to Paradime to bring connectors into the catalog and lineage, and trigger Fivetran connector syncs from Bolt or the CLI.
- [GCP BigQuery Transfer](https://docs.paradime.io/integrations/gcp-bigquery-transfer.md): Trigger BigQuery Data Transfer scheduled queries on demand from Paradime Bolt schedules to refresh datasets as part of your dbt™ pipelines.
- [GCP Cloud Functions](https://docs.paradime.io/integrations/gcp-cloud-function.md): Invoke GCP Cloud Functions from Paradime Bolt schedules so you can run event-driven serverless logic as part of your dbt™ pipelines.
- [GCP Cloud Run](https://docs.paradime.io/integrations/gcp-cloud-run.md): Execute GCP Cloud Run jobs from Paradime Bolt schedules so you can run containerized work to completion as part of your dbt™ pipelines.
- [GCP Dataflow](https://docs.paradime.io/integrations/gcp-dataflow.md): Launch GCP Dataflow jobs from templates in Paradime Bolt schedules so you can run batch or streaming data processing in your pipelines.
- [GCP Dataproc](https://docs.paradime.io/integrations/gcp-dataproc.md): Submit GCP Dataproc Spark and Hadoop jobs from Paradime Bolt schedules so you can run big-data workloads alongside your dbt™ transformations.
- [GCP Datastream](https://docs.paradime.io/integrations/gcp-datastream.md): Start, pause, or resume GCP Datastream streams from Paradime Bolt schedules so you can control change data capture in your pipelines.
- [GCP Secret Manager](https://docs.paradime.io/integrations/gcp-secret-manager.md): Reference GCP Secret Manager secrets by resource name in your Paradime environment variables and connection profiles, without storing plaintext credentials.
- [GitLab](https://docs.paradime.io/integrations/gitlab.md): Connect a GitLab Git repository to Paradime using an SSH deploy key so you can develop, branch, and open merge requests for your dbt™ project.
- [Google Docs](https://docs.paradime.io/integrations/google-docs.md): Connect Google Docs to Paradime so DinoAI can search, read, and reference your Google Docs documents on your behalf directly from your data workflows.
- [Google Drive](https://docs.paradime.io/integrations/google-drive.md): Connect Google Drive to Paradime so DinoAI can search, browse, and reference files stored across your Google Drive folders on your behalf as you work.
- [Google Sheets](https://docs.paradime.io/integrations/google-sheets.md): Connect Google Sheets to Paradime so DinoAI can search, read, and reference data in your Google Sheets spreadsheets on your behalf from your workflows.
- [Harlequin](https://docs.paradime.io/integrations/harlequin.md): Use Harlequin in the Paradime terminal to query and explore your MotherDuck or DuckDB databases directly from the Code IDE with a fast terminal SQL UI.
- [Hex](https://docs.paradime.io/integrations/hex.md): Trigger Hex project runs from Paradime Bolt schedules so notebooks, data apps, and reports refresh automatically after each dbt™ model run.
- [Hightouch](https://docs.paradime.io/integrations/hightouch.md): Connect Hightouch to Paradime to bring syncs into the catalog and lineage, and trigger Hightouch syncs from the CLI once a Bolt schedule completes.
- [Incident.io](https://docs.paradime.io/integrations/incident.io.md): Connect incident.io to Paradime to automatically create incidents when your Bolt pipelines fail, and manage them through Slack-native incident workflows.
- [Lightdash](https://docs.paradime.io/integrations/lightdash.md): Connect Lightdash to Paradime to develop and deploy Lightdash metrics from the Code IDE and Bolt, and surface Lightdash assets in the catalog and lineage.
- [Linear](https://docs.paradime.io/integrations/linear.md): Connect Linear to Paradime so DinoAI can search, view, and reference your Linear issues, projects, and cycles on your behalf directly from your workflows.
- [Looker](https://docs.paradime.io/integrations/looker.md): Connect Looker to Paradime to bring your Looker dashboards, Looks, and explores into the catalog and column-level lineage alongside your dbt™ models.
- [Matillion](https://docs.paradime.io/integrations/matillion.md): Trigger Matillion pipelines from Paradime Bolt schedules so you can run ELT loads and transformations as part of your dbt™ pipelines.
- [Metabase](https://docs.paradime.io/integrations/metabase.md): Connect Metabase to Paradime to bring your Metabase dashboards and questions into the catalog and column-level lineage alongside your dbt™ models.
- [Microsoft Fabric](https://docs.paradime.io/integrations/microsoft-fabric.md): Connect Microsoft Fabric to Paradime to run dbt™ against your Fabric warehouse from the Code IDE, schedule Bolt jobs, and use Agent sessions.
- [Microsoft SQL Server](https://docs.paradime.io/integrations/microsoft-sql-server.md): Connect Microsoft SQL Server to Paradime to run dbt™ against your SQL Server or Azure SQL database from the Code IDE, Bolt, and Agent.
- [Microsoft Teams](https://docs.paradime.io/integrations/microsoft-teams.md): Connect Microsoft Teams to Paradime to route Bolt run failures, Bolt system alerts, and Radar data quality notifications to your chosen Teams channels.
- [MongoDB](https://docs.paradime.io/integrations/mongodb.md): Connect MongoDB to Paradime so DinoAI can browse databases and collections, infer schemas, and run read-only find and aggregation queries while you model data.
- [Monte Carlo](https://docs.paradime.io/integrations/monte-carlo.md): Connect Monte Carlo to Paradime so Bolt uploads your dbt™ run artifacts to Monte Carlo, overlaying dbt™ context onto its lineage and observability.
- [MotherDuck](https://docs.paradime.io/integrations/motherduck.md): Connect MotherDuck to Paradime to run dbt™ against your MotherDuck cloud DuckDB database from the Code IDE, Bolt, and Agent environments.
- [New Relic](https://docs.paradime.io/integrations/new-relic.md): Connect New Relic to Paradime to automatically open incidents on Bolt pipeline failures and monitor dbt™ pipeline health alongside your application stack.
- [Notion](https://docs.paradime.io/integrations/notion.md): Connect Notion to Paradime so DinoAI can search, read, and reference pages, databases, and docs across your Notion workspace on your behalf as you work.
- [Omni](https://docs.paradime.io/integrations/omni.md): Connect Omni to Paradime to surface your Omni models, views, documents, dashboards, and tiles in the catalog and column-level lineage next to dbt™ models.
- [PagerDuty](https://docs.paradime.io/integrations/pagerduty.md): Connect PagerDuty to Paradime to automatically create incidents when your Bolt pipelines fail, and respond through your existing on-call workflows.
- [PostgreSQL](https://docs.paradime.io/integrations/postgresql.md): Connect PostgreSQL to Paradime to run dbt™ against your Postgres database from the Code IDE, schedule Bolt production jobs, and use Agent sessions.
- [Power BI](https://docs.paradime.io/integrations/power-bi.md): Connect Power BI to Paradime for catalog and column-level lineage of your reports and datasets, and to trigger Power BI dataset refreshes from Bolt or the CLI.
- [Prettier](https://docs.paradime.io/integrations/prettier.md): Use the native Prettier integration in the Paradime IDE to automatically format YAML files in your dbt™ project and catch errors early.
- [Rainbow CSV](https://docs.paradime.io/integrations/rainbow-csv.md): Use the Rainbow CSV extension in the Paradime IDE to color-code, align, lint, and query CSV files while you develop your dbt™ project.
- [Sigma](https://docs.paradime.io/integrations/sigma.md): Connect Sigma to Paradime to bring your Sigma workbooks and datasets into the catalog and column-level lineage alongside your dbt™ models.
- [Slack](https://docs.paradime.io/integrations/slack.md): Connect Slack to Paradime to receive Bolt run and Radar cost alerts in your channels, and use the DinoAI Slack agent to trigger runs from a message.
- [Snowflake Storage](https://docs.paradime.io/integrations/snowflake-storage.md): Read your Bolt schedule run artifacts from the Paradime-hosted S3 bucket directly in Snowflake using a Snowflake Storage Integration.
- [Spectacles](https://docs.paradime.io/integrations/spectacles.md): Connect Spectacles.dev to Paradime to run automated LookML validation against your Turbo CI schema on every pull request and catch Looker breakages early.
- [SQLFluff](https://docs.paradime.io/integrations/sql-fluff.md): Use the native SQLFluff integration in the Paradime IDE to lint and format SQL files in your dbt™ project, with built-in dbt™ and Jinja support.
- [Starburst/Trino](https://docs.paradime.io/integrations/starburst-trino.md): Connect Starburst or Trino to Paradime to run dbt™ against your Starburst Galaxy or Trino cluster from the Code IDE, Bolt, and Agent.
- [Tableau](https://docs.paradime.io/integrations/tableau.md): Connect Tableau to Paradime for column-level lineage and catalog metadata, and to trigger Tableau data source and workbook refreshes from Bolt.
- [ThoughtSpot](https://docs.paradime.io/integrations/thoughtspot.md): Connect ThoughtSpot to Paradime to bring your ThoughtSpot answers and Liveboards into the catalog and column-level lineage alongside your dbt™ models.
- [Zapier](https://docs.paradime.io/integrations/zapier.md): Trigger Zapier webhooks from Paradime Bolt schedules to kick off downstream automation across thousands of apps after your dbt™ runs finish.

### Airbyte

- [Airbyte](https://docs.paradime.io/integrations/airbyte/index.md): Connect Airbyte Cloud or Airbyte Server to Paradime to bring Airbyte sources and connections into the catalog, and trigger Airbyte syncs from Bolt or the CLI.
- [Airbyte Cloud](https://docs.paradime.io/integrations/airbyte/airbyte-cloud.md): Connect your managed Airbyte Cloud workspace to Paradime using OAuth client credentials so you can orchestrate ELT syncs alongside your dbt runs.
- [Airbyte Server](https://docs.paradime.io/integrations/airbyte/airbyte-server.md): Connect your self-hosted Airbyte Server to Paradime using its API and client credentials so you can trigger EL syncs from Bolt schedules or the CLI.

### AWS PrivateLink

- [AWS PrivateLink](https://docs.paradime.io/integrations/aws-privatelink/index.md): Paradime AWS PrivateLink: Securely connect AWS services with Paradime for dbt™ projects. Ensure private and secure data integration.
- [Snowflake PrivateLink](https://docs.paradime.io/integrations/aws-privatelink/snowflake-privatelink.md): Snowflake PrivateLink: Configure secure Snowflake connections with Paradime for dbt™ projects using AWS PrivateLink. Enhance data security.
- [Redshift PrivateLink](https://docs.paradime.io/integrations/aws-privatelink/redshift-privatelink.md): Redshift PrivateLink: Configure secure Redshift connections with Paradime for dbt™ projects using AWS PrivateLink. Enhance data security.

### BigQuery

- [BigQuery](https://docs.paradime.io/integrations/bigquery/index.md): Connect BigQuery to Paradime to run dbt™ from the Code IDE, deploy production jobs with Bolt, and let DinoAI background agents work against your project.
- [Service account JSON](https://docs.paradime.io/integrations/bigquery/service-account.md): Connect BigQuery to Paradime using a Google Cloud service account JSON key file for the Code IDE, Bolt production jobs, and Agent sessions.
- [BigQuery OAuth](https://docs.paradime.io/integrations/bigquery/oauth.md): Connect BigQuery to Paradime using BigQuery OAuth so each user authenticates through Google and runs dbt™ under their own BigQuery identity.
- [BigQuery cost connection](https://docs.paradime.io/integrations/bigquery/cost-connection.md): Set up a BigQuery cost connection so Paradime Radar can surface your BigQuery spend, slot usage, and per-query cost insights across projects.

### Confluence

- [Confluence](https://docs.paradime.io/integrations/confluence/index.md): Set up the Confluence integration for Cloud or Data Center so DinoAI can search, read, and reference your Confluence pages, spaces, and docs on your behalf.
- [Confluence Cloud](https://docs.paradime.io/integrations/confluence/confluence-cloud.md): Connect Confluence Cloud to Paradime using an Atlassian API token so DinoAI can search, read, and reference your Confluence pages and spaces for you.
- [Confluence Data Center](https://docs.paradime.io/integrations/confluence/confluence-data-center.md): Connect a self-hosted Confluence Data Center instance to Paradime with a Personal Access Token so DinoAI can access your Confluence content.

### Elementary Data

- [Elementary Data](https://docs.paradime.io/integrations/elementary-data/index.md): Monitor dbt™ models and pipelines in Paradime with Elementary, an open-source data observability tool for anomaly detection, alerts, and lineage.
- [Generate Observability Report](https://docs.paradime.io/integrations/elementary-data/generate-observability-report.md): Generate Elementary observability reports in Paradime to visualize dbt™ package data, including test results, anomaly detection outcomes, and dbt artifacts.
- [CLI Commands and Usage](https://docs.paradime.io/integrations/elementary-data/cli-commands-and-usage.md): Use the natively supported Elementary CLI inside the Paradime Code IDE and Bolt to generate rich data observability reports and send alerts to your team.

#### Anomaly Detection Tests

- [Anomaly Detection Tests](https://docs.paradime.io/integrations/elementary-data/anomaly-detection-tests/index.md): Elementary Data - Anomaly Detection: Implement anomaly detection tests for dbt™ projects in Paradime. Ensure data accuracy and reliability.
- [Anomaly Tests Parameters](https://docs.paradime.io/integrations/elementary-data/anomaly-detection-tests/anomaly-tests-parameters.md): Reference the parameters you can configure on Elementary anomaly detection tests to compare recent metrics against historical data and flag reliability issues.
- [Volume Anomalies](https://docs.paradime.io/integrations/elementary-data/anomaly-detection-tests/volume-anomalies.md): The elementary.volume_anomalies test monitors the row count of your table over time per time bucket, alerting on anomalies detected during the detection period.
- [Freshness Anomalies](https://docs.paradime.io/integrations/elementary-data/anomaly-detection-tests/freshness-anomalies.md): The elementary.freshness_anomalies test monitors the freshness of your table over time, measuring the expected time between data updates.
- [Event Freshness Anomalies](https://docs.paradime.io/integrations/elementary-data/anomaly-detection-tests/event-freshness-anomalies.md): Run the elementary.event_freshness_anomalies test to monitor how long each event takes to load into your database and detect freshness anomalies over time.
- [Dimension Anomalies](https://docs.paradime.io/integrations/elementary-data/anomaly-detection-tests/dimension-anomalies.md): Run the elementary.dimension_anomalies test to count rows grouped by dimensions and get alerts on unexpected shifts in your dimension value distributions.
- [All Columns Anomalies](https://docs.paradime.io/integrations/elementary-data/anomaly-detection-tests/all-columns-anomalies.md): Run the elementary.all_columns_anomalies test to apply column-level monitors and anomaly detection across every column in your table by data type.
- [Column Anomalies](https://docs.paradime.io/integrations/elementary-data/anomaly-detection-tests/column-anomalies.md): Run the elementary.column_anomalies test to apply column-level monitors and anomaly detection on a specific column based on its data type.

#### Schema Tests

- [Schema Tests](https://docs.paradime.io/integrations/elementary-data/schema-tests/index.md): Implement Elementary schema tests on your dbt™ projects in Paradime to catch structural changes and keep data integrity and consistency across models.
- [Schema Changes](https://docs.paradime.io/integrations/elementary-data/schema-tests/schema-changes.md): Elementary Data Schema Changes: Track and manage schema changes in dbt™ projects with Paradime. Ensure accurate and consistent data schemas.
- [Schema Changes From Baseline](https://docs.paradime.io/integrations/elementary-data/schema-tests/schema-changes-from-baseline.md): Elementary Data - Schema Baseline: Compare schema changes from baseline in dbt™ projects using Paradime. Ensure data integrity and accuracy.

#### Sending alerts

- [Sending Alerts](https://docs.paradime.io/integrations/elementary-data/sending-alerts/index.md): Configure and manage Elementary-powered alerts on your dbt™ projects in Paradime so your team stays informed of test failures, model errors, and anomalies.
- [Send Elementary dbt alerts to Datadog](https://docs.paradime.io/integrations/elementary-data/sending-alerts/datadog-alerts.md): Configure Elementary to send dbt test failures, model errors, and data quality alerts to Datadog as incidents, with project-level defaults via config.yml.
- [Slack Alerts](https://docs.paradime.io/integrations/elementary-data/sending-alerts/slack-alerts.md): Set up Slack alerts with Elementary in Paradime to keep your team informed of dbt™ test failures, model errors, and data anomalies directly in your channels.
- [Microsoft Teams Alerts](https://docs.paradime.io/integrations/elementary-data/sending-alerts/microsoft-teams-alerts.md): Set up Microsoft Teams alerts with Elementary in Paradime to notify your team of dbt™ test failures, model errors, and anomalies directly inside Teams channels.
- [Alerts Configuration and Customization](https://docs.paradime.io/integrations/elementary-data/sending-alerts/alerts-configuration-and-customization.md): Configure Elementary alert content and behavior in Paradime by setting owners, subscribers, tags, suppression intervals, and alert grouping options.

### GitHub

- [GitHub](https://docs.paradime.io/integrations/github/index.md): Connect GitHub to Paradime to develop dbt™ projects, automate CI/CD with the GitHub App, and let DinoAI open and manage pull requests for you.
- [GitHub App](https://docs.paradime.io/integrations/github/github-app.md): Connect your GitHub organization to Paradime to power dbt™ development, CI/CD, and let DinoAI manage pull requests on your behalf.
- [Connect a GitHub repository](https://docs.paradime.io/integrations/github/connect-a-repository.md): Connect a specific GitHub repository to Paradime using an SSH deploy key so you can develop, branch, and pull request your dbt™ project.

### Jira

- [Jira](https://docs.paradime.io/integrations/jira/index.md): Set up the Jira integration for Cloud or Data Center so DinoAI can search, create, update, transition, and comment on Jira issues and tickets on your behalf.
- [Jira Cloud](https://docs.paradime.io/integrations/jira/jira-cloud.md): Connect Jira Cloud to Paradime using an Atlassian API token so DinoAI can search, create, update, and comment on your Jira issues and tickets on your behalf.
- [Jira Data Center](https://docs.paradime.io/integrations/jira/jira-data-center.md): Connect a self-hosted Jira Data Center instance to Paradime with a Personal Access Token so DinoAI can create, update, and manage issues.
- [Required Jira Permissions](https://docs.paradime.io/integrations/jira/required-jira-permissions.md): Reference for the project-level Jira permissions your connected Atlassian account needs so DinoAI can fully browse, create, transition, and comment on issues.

### Mermaid.js

- [Mermaid](https://docs.paradime.io/integrations/mermaid-js/index.md): Learn how to use Mermaid in Paradime to create diagrams that document your dbt projects. Create ERDs, workflows, and architecture diagrams using code.
- [Architecture Diagrams](https://docs.paradime.io/integrations/mermaid-js/architecture-diagrams.md): Visualize relationships between services and resources in your data infrastructure with Mermaid architecture diagrams for cloud and pipeline docs.
- [Block Diagrams](https://docs.paradime.io/integrations/mermaid-js/block-diagrams.md): Represent complex systems and processes using Mermaid block diagrams, with blocks for components and connectors for the flows or relationships between them.
- [Class Diagrams](https://docs.paradime.io/integrations/mermaid-js/class-diagrams.md): Visualize data structures and their relationships with Mermaid class diagrams, useful for documenting data models, transformations, and system architecture.
- [Entity Relationship Diagrams](https://docs.paradime.io/integrations/mermaid-js/entity-relationship-diagrams.md): Visualize database structures with Mermaid Entity Relationship Diagrams (ERDs), showing how entities relate to one another along with their attributes.
- [Gantt Diagrams](https://docs.paradime.io/integrations/mermaid-js/gantt-diagrams.md): Visualize project timelines and track task dependencies with Mermaid Gantt diagrams for planning pipeline releases, scheduling models, and managing milestones.
- [Gitgraph Diagrams](https://docs.paradime.io/integrations/mermaid-js/gitgraph-diagrams.md): Visualize Git workflows and branching strategies with Mermaid GitGraph diagrams for documenting feature development, releases, and deployment processes.
- [Mindmaps](https://docs.paradime.io/integrations/mermaid-js/mindmaps.md): Organize ideas into hierarchical structures with Mermaid mind maps for brainstorming project requirements, planning data models, and documenting processes.
- [Pie Chart](https://docs.paradime.io/integrations/mermaid-js/pie-chart-diagrams.md): Visualize proportional data with Mermaid pie charts, splitting a circle into slices representing percentages, ideal for distributions and composition.
- [Quadrant Chart](https://docs.paradime.io/integrations/mermaid-js/quadrant-charts.md): Plot data points across two dimensions split into four quadrants using Mermaid quadrant charts, useful for pattern analysis and strategic decision-making.
- [Requirement Diagrams](https://docs.paradime.io/integrations/mermaid-js/requirement-diagrams.md): Visualize requirements, attributes, and relationships with Mermaid requirement diagrams, following SysML standards for dependencies and verification.
- [Sankey Diagrams](https://docs.paradime.io/integrations/mermaid-js/sankey-diagrams.md): Visualize flow and relationships between nodes with Mermaid Sankey diagrams, showing proportional values to help analyze and optimize processes.
- [Sequence Diagrams](https://docs.paradime.io/integrations/mermaid-js/sequence-diagrams.md): Depict how processes interact in a time-ordered sequence with Mermaid sequence diagrams, useful for system design, workflow analysis, and user interactions.
- [State Diagrams](https://docs.paradime.io/integrations/mermaid-js/state-diagrams.md): Describe the behavior of systems by representing states and their transitions using Mermaid state diagrams, useful for software design and process modeling.
- [Timeline Diagrams](https://docs.paradime.io/integrations/mermaid-js/timeline-diagrams.md): Provide a graphical representation of events or periods over time with Mermaid timeline diagrams for visualizing histories, schedules, and project plans.
- [User Journey Diagrams](https://docs.paradime.io/integrations/mermaid-js/user-journey-diagrams.md): Visualize the steps users take to complete a task in a system, app, or website with Mermaid user journey diagrams to identify bottlenecks and improvements.
- [XY Chart](https://docs.paradime.io/integrations/mermaid-js/xy-chart.md): Represent data with two variables on the x-axis and y-axis using Mermaid XY charts, which support both bar charts and line charts for visualizing trends.
- [Zenuml](https://docs.paradime.io/integrations/mermaid-js/zenuml.md): Create sequence diagrams efficiently with ZenUML, a Mermaid feature offering an intuitive syntax for representing interactions between processes or entities.

### Pre-Commit

- [Pre-commit](https://docs.paradime.io/integrations/pre-commit/index.md): Pre-commit hooks are automated checks that run before code is committed, catching issues early and maintaining consistent code quality in your dbt™️ project
- [Configure pre-commit for your dbt project in Paradime](https://docs.paradime.io/integrations/pre-commit/paradime-setup-and-configuration.md): Add a .pre-commit-config.yaml to your dbt™ repository and enforce the hooks on every pull request with a Turbo CI schedule in Paradime Bolt.
- [SQLFluff Hooks](https://docs.paradime.io/integrations/pre-commit/sqlfluff-hooks.md): Use pre-commit with SQLFluff to auto-lint SQL: sqlfluff-lint returns rule violations while sqlfluff-fix attempts to correct them for developers.
- [Prettier Hooks](https://docs.paradime.io/integrations/pre-commit/prettier-hooks.md): Use pre-commit with Prettier to automatically lint YAML files, formatting only the files that changed to keep styling consistent across your project.

#### dbt™ Checkpoint Hooks

- [dbt™-checkpoint Hooks](https://docs.paradime.io/integrations/pre-commit/dbt-tm-checkpoint-hooks/index.md): dbt™️-checkpoint provides pre-commit hooks for dbt™️ projects, enforcing standards for model properties, tests, and documentation.
- [dbt™ Model Checks](https://docs.paradime.io/integrations/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-model-checks.md): Pre-commit hooks for dbt™️ models that enforce consistent properties, tests, docs, names, dependencies, and column descriptions before commits.
- [dbt™ Script Checks](https://docs.paradime.io/integrations/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-script-checks.md): Pre-commit hooks for dbt™️ scripts that enforce SQL formatting, syntax standards, indentation, and coding style to keep query quality consistent.
- [dbt™ Source Checks](https://docs.paradime.io/integrations/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-source-checks.md): Pre-commit hooks for dbt™️ sources that verify table references, freshness checks, and docs to keep source configurations complete and accurate.
- [dbt™ Macro Checks](https://docs.paradime.io/integrations/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-macro-checks.md): Pre-commit hooks for dbt™️ macros that check documentation, references, and naming conventions, verifying macro definitions and arguments.
- [dbt™ Modifiers](https://docs.paradime.io/integrations/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-modifiers.md): Pre-commit hooks for dbt™️ modifiers that validate configuration changes, materialization settings, and model updates for correct syntax.
- [dbt™ Commands](https://docs.paradime.io/integrations/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-commands.md): Pre-commit hooks for dbt™️ commands that validate CLI operations, run history, and operation order before executing dbt™️ workflows.
- [dbt™ Checks](https://docs.paradime.io/integrations/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-checks.md): Pre-commit hooks for dbt™️ validate models, sources, macros, and configs. Ensure consistent standards and best practices across your dbt™️ project.

### Redshift

- [Redshift](https://docs.paradime.io/integrations/redshift/index.md): Connect Amazon Redshift to Paradime to run dbt™ from the Code IDE, deploy production jobs with Bolt, and let DinoAI background agents query your cluster.
- [Username and password](https://docs.paradime.io/integrations/redshift/username-and-password.md): Connect Amazon Redshift to Paradime using a database username and password for the Code IDE, Bolt production jobs, and Agent sessions.
- [IAM](https://docs.paradime.io/integrations/redshift/iam.md): Connect Amazon Redshift to Paradime using IAM authentication with an AWS profile so dbt™ signs in through a temporary Redshift credential.

### Snowflake

- [Snowflake](https://docs.paradime.io/integrations/snowflake/index.md): Connect Snowflake to Paradime to run dbt™ from the Code IDE, deploy production jobs with Bolt, and let DinoAI background agents work against your warehouse.
- [Username and password](https://docs.paradime.io/integrations/snowflake/username-and-password.md): Connect Snowflake to Paradime using a service user's Snowflake username and password for the Code IDE, Bolt, and Agent environments.
- [Snowflake OAuth](https://docs.paradime.io/integrations/snowflake/oauth.md): Connect Snowflake to Paradime using Snowflake OAuth so each user authenticates through Snowflake with their own credentials and role.
- [Key-pair authentication](https://docs.paradime.io/integrations/snowflake/key-pair.md): Connect Snowflake to Paradime using key-pair authentication with an RSA private key and optional passphrase for Bolt jobs and Agent sessions.
- [Snowflake cost connection](https://docs.paradime.io/integrations/snowflake/cost-connection.md): Snowflake Cost Connection: Integrate Snowflake cost management with Paradime for dbt™ projects. Optimize budget and resource allocation.