Zing vs. Zenlytic

Zing's on-the-fly calculations and joins provide faster time to value, and work with natural language, visually, or with SQL

Zing to makes data available to everybody at your organization -- no complicated modeling needed
Ad-hoc flexibility that doesn't require data teams to create every new definition or table
Natural language querying, powered by leading LLMs that eclipses rigid semantic models
Collaboration (and a licensing model) that lets you bring the whole team along

Zing

Natural language querying powered by Zing MagicModel and leading edge models from OpenAI, Anthropic, and Google
Web, and highly rated iOS and Android apps that let you ask questions from anywhere
Real-time alerting on important changes (1 min) via push or email
Support for a wide range of datasets, including Snowflake, BigQuery, Postgres, mySQL, MS SQL, ClickHouse, Google Sheets, Excel, CSV, Trino, Presto, Starburst
Tap to deep-dive dynamically at any level of aggregation
Easily create calculated fields and joins on the fly
Full SQL editor with a contextual typeahead
Scales with you -- starting at free

Time-consuming setup that requires code and command line tools for setup
Full functionality only on web (limited to Chrome)
No alerting capabilities
Natural language support requires extensive aliasing and data modeling to get results
No location-based querying
No ClickHouse, Excel, or Google Sheets support
No free tier; non-transparent pricing (not even on their website)