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  1. Stackups
  2. Application & Data
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  4. Databases
  5. Mentat vs ReductStore

Mentat vs ReductStore

OverviewComparisonAlternatives

Overview

Mentat
Mentat
Stacks199
Followers12
Votes0
GitHub Stars1.7K
Forks115
ReductStore
ReductStore
Stacks2
Followers1
Votes9
GitHub Stars254
Forks20

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Detailed Comparison

Mentat
Mentat
ReductStore
ReductStore

Project Mentat is a persistent, embedded knowledge base. It draws heavily on DataScript and Datomic. Mentat is implemented in Rust.

ReductStore is a time series database that is specifically designed for storing and managing large amounts of blob data. It boasts high performance for both writing and real-time querying, with the added benefit of batching data. This makes

Flexible rotational store; Makes it easy to describe, grow, and reuse your domain schema
Storing and accessing unstructured data as time series; No limit for maximum size of blob; Real-time FIFO bucket quota based on size to avoid disk space shortage; Append-only replication; HTTP(S) API; Optimized for small objects (less than 1 MB); Labeling data for annotation and filtering; Iterative data querying; Batching records in an HTTP response; Embedded Web Console; Token authorization for managing data access;
Statistics
GitHub Stars
1.7K
GitHub Stars
254
GitHub Forks
115
GitHub Forks
20
Stacks
199
Stacks
2
Followers
12
Followers
1
Votes
0
Votes
9
Pros & Cons
No community feedback yet
Pros
  • 1
    Embedded Web Console
  • 1
    Manange a history of blobs
  • 1
    HTTP API
  • 1
    Query data via a time interval
  • 1
    Real-time FIFO bucket quota
Cons
  • 1
    No data aggregation
Integrations
No integrations available
Microsoft Azure
Microsoft Azure
Docker
Docker
Node.js
Node.js
C++
C++
Rust
Rust
Windows
Windows
Python
Python
JavaScript
JavaScript
macOS
macOS
Linux
Linux

What are some alternatives to Mentat, ReductStore?

MongoDB

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.

MySQL

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

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

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.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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