A free terminal (TUI) app for inspecting and monitoring Snowflake Tasks without leaving the command line.
#data-warehouse
16 tools curated in this category — including Snowtask, Supernova, Soda
techFind on mySelectas all sites and tools related to data-warehouse. This selection of 16 resources is reviewed and maintained by the community. The most popular include Snowtask, Supernova, Soda. Each tool comes with a review, tags, comparisons and alternatives to help you make the best choice.
Syncs Stripe, HubSpot, Postgres, and 40+ other business tools into one encrypted data lake you can query directly from Claude or Codex, without waiting on engineers or building a BI stack.
A data quality platform built around 'data contracts' — explicit, collaborative agreements about what a dataset should look like — with AI that detects, explains, and can automatically fix anomalies when they break.
An AI agent that watches your Snowflake, BigQuery, or Databricks bill and your data quality at the same time, flagging wasted spend and broken pipelines before they become a surprise invoice or a bad dashboard.
The most widely used open-source tool for writing data quality checks in Python — you define what your data should look like as code, and it validates every pipeline run against those expectations automatically.
An all-in-one data platform that replaces a Fivetran + Snowflake + dbt + Looker stack with a single tool for ingesting, storing, and querying business data, plus an AI analyst that answers questions in plain English.
A data catalog and governance platform that builds a formal, certified map of what your business data actually means, then feeds that context to AI models so they answer questions correctly instead of guessing or hallucinating.
An enterprise data management platform that bundles data quality, observability, cataloging, and lineage into one product, with a specific focus on making sure the data fed into AI systems is trustworthy.
A data quality platform that uses AI to automatically learn what 'normal' looks like in your tables and flags anomalies — without anyone having to write manual validation rules for every column.
Data-syncing platform that moves data both ways between a company's warehouse and the everyday tools (Salesforce, Google Sheets, Stripe) that teams actually work in.
An open-source AI agent that logs into your data warehouse overnight, writes its own SQL, double-checks every finding against the real data, and hands you a ranked list of things worth looking at — before you've asked a single question.
A data platform that pulls data from 200+ sources into a warehouse and lets you query it in plain English via an AI assistant.
Fully-managed change-data-capture platform that streams database changes into data warehouses in real time, without building Kafka/Debezium pipelines yourself.
Open-source feature store that manages the machine-learning data teams use for both model training and real-time predictions.
Real-time data movement platform: streaming, log-based CDC and batch through 200+ managed connectors, sub-100ms latency.
Open-source Python library that moves data from any source into your warehouse, handling schema and normalization for you.