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Liquibase vs cq: What are the differences?
What is Liquibase? Source control for your database. Developers store database changes in text-based files on their local development machines and apply them to their local databases. Changelog files can be be arbitrarily nested for better management.
What is cq? Query CSVs using SQL. It is a wrapper over sqlite inspired by jq for querying CSVs using SQL.
Liquibase and cq can be primarily classified as "Database" tools.
Liquibase and cq are both open source tools. Liquibase with 1.87K GitHub stars and 1.12K forks on GitHub appears to be more popular than cq with 134 GitHub stars and 4 GitHub forks.
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Pros of Liquibase
Pros of cq
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Pros of Liquibase
- Great database tool18
- Many DBs supported18
- Easy setup12
- Database independent migration scripts8
- Unique open source tool5
- Database version controller5
- Precondition checking2
- Supports NoSQL and Graph DBs2
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Cons of cq
Cons of Liquibase
Cons of cq
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Cons of Liquibase
- Documentation is disorganized5
- No vendor specifics in XML format - needs workarounds5
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What is cq?
It is a wrapper over sqlite inspired by jq for querying CSVs using SQL.
What is Liquibase?
Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.
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What companies use cq?
What companies use Liquibase?
What companies use cq?
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What companies use Liquibase?
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What tools integrate with cq?
What tools integrate with Liquibase?
What tools integrate with cq?
What tools integrate with Liquibase?
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What are some alternatives to cq and Liquibase?
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