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MonetDB
MonetDB

7
11
+ 1
2
Noms
Noms

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

MonetDB: Column-store database. MonetDB innovates at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture; 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.

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

Noms is an open source tool with 6.91K GitHub stars and 251 GitHub forks. Here's a link to Noms's open source repository on GitHub.

- No public GitHub repository available -

What is MonetDB?

MonetDB innovates at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture.

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 MonetDB and Noms?
                Cassandra
                Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
                MemSQL
                MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.
                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.
                Clickhouse
                It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.
                Vertica
                It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.
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