HongoDB VS opaleye

Compare HongoDB vs opaleye and see what are their differences.

HongoDB

A Simple Key Value Store (by tanakh)
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HongoDB opaleye
0 9
12 586
- -
0.0 8.7
almost 13 years ago 20 days ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

HongoDB

Posts with mentions or reviews of HongoDB. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning HongoDB yet.
Tracking mentions began in Dec 2020.

opaleye

Posts with mentions or reviews of opaleye. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-28.

What are some alternatives?

When comparing HongoDB and opaleye you can also consider the following projects:

esqueleto - Bare bones, type-safe EDSL for SQL queries on persistent backends.

mywatch

HDBC - Haskell Database Connectivity

database-migrate - database-migrate haskell library to assist with migration for *-simple sql backends.

acid-state - Add ACID guarantees to any serializable Haskell data structure

pool-conduit - Persistence interface for Haskell allowing multiple storage methods.

mysql-haskell - Pure haskell mysql driver

erd - Translates a plain text description of a relational database schema to a graphical entity-relationship diagram.

hedis - A Redis client library for Haskell.

squeal-postgresql - Squeal, a deep embedding of SQL in Haskell

groundhog - This library maps datatypes to a relational model, in a way similar to what ORM libraries do in OOP. See the tutorial https://www.schoolofhaskell.com/user/lykahb/groundhog for introduction

ampersand - Build database applications faster than anyone else, and keep your data pollution free as a bonus.