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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Dolt vs LedisDB

Dolt vs LedisDB

OverviewComparisonAlternatives

Overview

Dolt
Dolt
Stacks6
Followers17
Votes0
LedisDB
LedisDB
Stacks2
Followers3
Votes0
GitHub Stars4.1K
Forks436

Dolt vs LedisDB: What are the differences?

Key Differences between Dolt and LedisDB

Dolt and LedisDB are both database systems, but they differ in several key aspects:

  1. Data Versioning and Collaboration: Dolt is a version-controlled database, allowing users to track changes and collaborate seamlessly with others. It incorporates a Git-like system that enables branching, merging, and history management. LedisDB, on the other hand, does not have built-in version control or collaboration capabilities.

  2. Schema Evolution: Dolt supports schema evolution, allowing users to modify the structure of their tables over time. It provides commands to easily add, modify, or delete columns in existing tables. In contrast, LedisDB does not natively support schema evolution, as it is a key-value store that operates without predefined schemas.

  3. Data Storage: Dolt stores data in a tabular format, similar to traditional relational databases. It uses a SQL-like query language for data manipulation. LedisDB, however, stores data as key-value pairs, making it suitable for simple key-value storage and retrieval operations. It does not support complex query capabilities like SQL.

  4. Transactions: Dolt supports ACID (Atomicity, Consistency, Isolation, Durability) transactions, allowing for safe and consistent data modifications. It ensures that changes are either fully committed or fully rolled back in case of failures. LedisDB, on the other hand, does not have built-in transaction support and operates in a more simplistic manner.

  5. Query Language: Dolt utilizes a SQL-based query language, providing users with a rich set of relational database functionalities. It supports complex joins, aggregate functions, and advanced querying capabilities. LedisDB, being a key-value store, does not offer a sophisticated query language and primarily focuses on simple key-value operations.

  6. Data Integrity and Constraints: Dolt allows users to define constraints on their data, ensuring data integrity and enforcing specific rules. It provides mechanisms to set primary keys, unique constraints, and foreign key relationships, among others. LedisDB, being a NoSQL key-value store, does not provide built-in support for enforcing data constraints or relationships.

In summary, Dolt is a version-controlled and schema-evolutionary database system with SQL query capabilities, ACID transactions, and data integrity enforcement. LedisDB, on the other hand, is a simplified key-value store without version control, schema evolution, complex querying, transactions, or data constraints.

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Detailed Comparison

Dolt
Dolt
LedisDB
LedisDB

Dolt is a SQL database with Git-like version control features. Instead of versioning files, Dolt versions tables and provides a SQL query interface over those tables. The underlying storage is a commit graph, and it is exposed in SQL.

It is a high-performance NoSQL database library and server written in Go. It's similar to Redis but store data in disk. It supports many data structures including kv, list, hash, zset, set. It now supports multiple different databases as backends.

SQL query interface; Git-like version control; version controlled database
Rich data structure: KV, List, Hash, ZSet, Set; Data storage is not limited by RAM; Various backends supported: LevelDB, goleveldb, RocksDB, RAM; Supports Lua scripting; Supports expiration and TTL; Can be managed via redis-cli; Easy to embed in your own Go application; HTTP API support, JSON/BSON/msgpack output; Replication to guarantee data safety
Statistics
GitHub Stars
-
GitHub Stars
4.1K
GitHub Forks
-
GitHub Forks
436
Stacks
6
Stacks
2
Followers
17
Followers
3
Votes
0
Votes
0
Integrations
MySQL
MySQL
Python
Python
Linux
Linux
Windows
Windows
Mac OS X
Mac OS X
LevelDB
LevelDB
RocksDB
RocksDB

What are some alternatives to Dolt, LedisDB?

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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