Hashboard
Hashboard is a data analytics platform that supports data modeling, exploration, and BI as code, offering features like funnel analysis, auto archiving, and a Python SDK called Hashquery.
Services
Hashboard offers a wide range of services centered around data analysis, business intelligence (BI), and DataOps. Core services include funnel analysis available for public preview, data modeling, data exploration, and BI as code. The platform's Python SDK, Hashquery, allows users to interact with data programmatically. Additional services include automatic resource archiving through the 'auto archive' feature, period-over-period comparisons for data analysis, and resource version histories. Hashboard supports public link sharing for saved explorations, dashboards, and collections, along with sharing data visualizations directly to Slack.
Products
Hashboard provides numerous specialized products and features. Key offerings include the BigQuery Cost Analyzer to manage and reduce costs, funnel analysis tools, and pie/donut charts for visualizing categorical data. The platform offers a revamped model builder, dynamic value labels for charts, table subtotals, and a SQL Runner for querying data. Hashboard also features a CLI tool for resource management, a metrics page for tracking company-wide metrics, and supports embedding external websites in dashboards. Users can also take advantage of the sandbox demo projects with preloaded datasets.
Integrations
Hashboard supports integrations with major data platforms and services, including BigQuery, Snowflake, Postgres, DuckDB, MotherDuck, MySQL, Athena, ClickHouse, dbt, Git, and Databricks. The platform allows securely managing database credentials with role-based access control and features single sign-on (SSO) integration with Okta and others. Additionally, Hashboard enables uploading CSV, JSON, and Parquet files for analysis and querying uploaded CSV files with DuckDB. Data can be shared directly to Slack, and integrations enhance collaboration through public links and email.
Data Operations
Hashboard offers extensive support for DataOps, including asynchronous builds and a command-line utility called Hashboard Pull for BI as code workflows. The platform's improved DataOps build summaries indicate resource changes, and users can protect specific resources to be editable only with DataOps. The YAML editor allows advanced users to edit models and saved explorations as code, providing a streamlined workflow for managing and deploying data models. These features ensure flexible, efficient data operations and improved resource management.