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Chronix
Chronix

2
11
+ 1
0
Noms
Noms

2
16
+ 1
0
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Chronix vs Noms: What are the differences?

Developers describe Chronix as "A fast and efficient time series storage based on Apache Lucene and Apache Solr". Chronix is built to store time series highly compressed and for fast access times. In comparison to related time series databases, Chronix does not only take 5 to 171 times less space, but it also shaves off 83% of the access time, and up to 78% off the runtime on a mix of real world queries. On the other hand, Noms is detailed as "A new decentralized database based on ideas from Git". Noms is a new database that makes it easy to store, move, and collaborate on large-scale structured data. Noms gives you the entire Git workflow, but for large-scale structured (or unstructured) data. Fork, merge, track history, efficiently synchronize changes, etc.

Chronix and Noms can be primarily classified as "Databases" tools.

Chronix and Noms are both open source tools. It seems that Noms with 6.91K GitHub stars and 251 forks on GitHub has more adoption than Chronix with 247 GitHub stars and 23 GitHub forks.

What is Chronix?

Chronix is built to store time series highly compressed and for fast access times. In comparison to related time series databases, Chronix does not only take 5 to 171 times less space, but it also shaves off 83% of the access time, and up to 78% off the runtime on a mix of real world queries.

What is Noms?

Noms is a new database that makes it easy to store, move, and collaborate on large-scale structured data. Noms gives you the entire Git workflow, but for large-scale structured (or unstructured) data. Fork, merge, track history, efficiently synchronize changes, etc.
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                  What are some alternatives to Chronix and Noms?
                  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.
                  Microsoft SQL Server
                  Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
                  MariaDB
                  Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
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