What is inquery?
It is a utility for Postgres that triggers webhooks when rows are inserted, updated, or deleted. It uses database triggers that send low-latency websocket messages to a Go application. This application then calls the configured webhook(s) with a JSON payload that includes specified values from the database row.
inquery is a tool in the Database Tools category of a tech stack.
inquery is an open source tool with GitHub stars and GitHub forks. Here’s a link to inquery's open source repository on GitHub
inquery Integrations
inquery's Features
- Send notifications: Slack, Email, Text Message, Push Notification
- Call serverless functions: AWS Lambda, Google Cloud Functions, Azure Functions
- Trigger analytics events: Segment, Mixpanel, Amplitude
- Stream data real-time: Snowflake, BigQuery, Clickhouse, Redshift
inquery Alternatives & Comparisons
What are some alternatives to inquery?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
Related Comparisons
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