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DalmatinerDB
DalmatinerDB

5
5
+ 1
1
Noms
Noms

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

Developers describe DalmatinerDB as "A fast, distributed metric store". DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore. 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.

DalmatinerDB and Noms can be categorized as "Databases" tools.

DalmatinerDB and Noms are both open source tools. Noms with 6.91K GitHub stars and 251 forks on GitHub appears to be more popular than DalmatinerDB with 696 GitHub stars and 45 GitHub forks.

What is DalmatinerDB?

DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore.

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 DalmatinerDB and Noms?
              InfluxDB
              InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
              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¬ģ SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
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