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Noms
Noms

2
16
+ 1
0
TrailDB
TrailDB

1
7
+ 1
0
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Noms vs TrailDB: What are the differences?

What is Noms? 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.

What is TrailDB? An efficient tool for storing and querying series of events, by AdRoll. TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.

Noms and TrailDB belong to "Databases" category of the tech stack.

Noms and TrailDB are both open source tools. Noms with 6.91K GitHub stars and 251 forks on GitHub appears to be more popular than TrailDB with 962 GitHub stars and 64 GitHub forks.

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.

What is TrailDB?

TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.
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                  What are some alternatives to Noms and TrailDB?
                  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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