Mentat vs ObjectBox

Overview

ObjectBox

Stacks9

Followers20

Votes0

Mentat

Stacks199

Followers12

Votes0

GitHub Stars1.7K

Forks115

Mentat vs ObjectBox: What are the differences?

Data Model: Mentat is an entity-attribute-value database that allows for flexible schema changes without altering the entire structure, while ObjectBox follows a traditional object-oriented data model with fixed schemas.
Query Language: Mentat uses its proprietary query language, Datalog, which is based on Prolog, for retrieving data, while ObjectBox utilizes a simplified API for querying objects using criteria queries.
Platform Support: Mentat is primarily focused on being a cross-platform database solution compatible with various operating systems, including mobile platforms, while ObjectBox is specifically optimized for mobile and IoT devices.
Persistence: Mentat stores data in a more append-only fashion, making it suitable for use cases where data is constantly changing, whereas ObjectBox uses a B+ tree structure for persistent storage, optimizing for read-intensive applications.
Performance Optimization: Mentat prioritizes efficient storage and retrieval of large volumes of data with its unique data model, while ObjectBox is designed for fast transactions and low-latency responsiveness, catering to real-time applications.
Community Support: Mentat has a smaller community and ecosystem compared to ObjectBox, which has a more extensive community, documentation, and resources for developers.

In Summary, Mentat and ObjectBox differ in their data models, query languages, platform support, persistence mechanisms, performance optimization strategies, and community support.

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CLI (Node.js)

Manual

Detailed Comparison

ObjectBox	Mentat
It is for developers who look for performance and ease of use. We are committed to providing you with the easiest APIs for you to keep your code short and maintainable. No SQL under the hood-Simply faster. Unlike other databases, it has been built from the ground up using key-value storage instead of column storage. The resulting performance is 10x faster than the leading alternative, we welcome you to try it yourself. It is fast regardless of the amount of data or operating system you are using.	Project Mentat is a persistent, embedded knowledge base. It draws heavily on DataScript and Datomic. Mentat is implemented in Rust.
10x faster than any alternative; Reduces cloud costs up to 60%; Supports Linux, Windows, Mac/iOS, Android, Raspbian, etc. Embedded or Containerized; Develop applications that work on- and offline, independently from a constant Internet connection, providing an “always-on”-feeling; Accelerate time-to-market, save development and lifecycle costs, save precious developer time for tasks that bring value	Flexible rotational store; Makes it easy to describe, grow, and reuse your domain schema
Statistics
GitHub Stars -	GitHub Stars 1.7K
GitHub Forks -	GitHub Forks 115
Stacks 9	Stacks 199
Followers 20	Followers 12
Votes 0	Votes 0
Integrations
Linux Android OS macOS iOS Windows Raspbian	No integrations available

What are some alternatives to ObjectBox, Mentat?

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

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.

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 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

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 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

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 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

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.

Related Comparisons

Mentat vs ObjectBox: What are the differences?

Data Model: Mentat is an entity-attribute-value database that allows for flexible schema changes without altering the entire structure, while ObjectBox follows a traditional object-oriented data model with fixed schemas.
Query Language: Mentat uses its proprietary query language, Datalog, which is based on Prolog, for retrieving data, while ObjectBox utilizes a simplified API for querying objects using criteria queries.
Platform Support: Mentat is primarily focused on being a cross-platform database solution compatible with various operating systems, including mobile platforms, while ObjectBox is specifically optimized for mobile and IoT devices.
Persistence: Mentat stores data in a more append-only fashion, making it suitable for use cases where data is constantly changing, whereas ObjectBox uses a B+ tree structure for persistent storage, optimizing for read-intensive applications.
Performance Optimization: Mentat prioritizes efficient storage and retrieval of large volumes of data with its unique data model, while ObjectBox is designed for fast transactions and low-latency responsiveness, catering to real-time applications.
Community Support: Mentat has a smaller community and ecosystem compared to ObjectBox, which has a more extensive community, documentation, and resources for developers.

In Summary, Mentat and ObjectBox differ in their data models, query languages, platform support, persistence mechanisms, performance optimization strategies, and community support.

Mentat vs ObjectBox

Overview