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  5. Amazon QLDB vs Dolt

Amazon QLDB vs Dolt

OverviewComparisonAlternatives

Overview

Amazon QLDB
Amazon QLDB
Stacks5
Followers17
Votes0
Dolt
Dolt
Stacks6
Followers17
Votes0

Amazon QLDB vs Dolt: What are the differences?

Introduction

Amazon QLDB and Dolt are both popular database solutions, but they have key differences that set them apart in terms of functionality and use cases.

  1. Data Model: Amazon QLDB uses an immutable journal to store data, making it suitable for applications that require verifiability and auditability. On the other hand, Dolt uses a relational model with versioning capabilities similar to Git, which allows for easier data branching and merging.

  2. Cost Structure: Amazon QLDB follows a consumption-based pricing model, where users pay for the resources they use. In contrast, Dolt is open-source and can be self-hosted for free, providing a cost-effective solution for small to medium-sized projects.

  3. Query Language: Amazon QLDB uses PartiQL, a SQL-compatible query language, making it easy for users familiar with SQL to manipulate data. Dolt, on the other hand, supports standard SQL queries but also offers additional functionalities for branching and merging data, enhancing collaboration.

  4. Consistency Model: Amazon QLDB offers an ACID-compliant consistency model, ensuring data integrity and reliability. Dolt, while providing similar consistency guarantees, focuses more on data versioning and collaboration, making it ideal for scenarios where multiple users are working on the same dataset simultaneously.

  5. Use Cases: Amazon QLDB is well-suited for applications that require a centralized ledger for managing verifiable transactions, such as supply chain tracking or financial auditing. Dolt, on the other hand, is more geared towards collaborative data projects where versioning and branching are critical, like data analysis or software development.

  6. Scalability: Amazon QLDB is a fully managed service by AWS, providing automatic scalability and high availability out of the box. Dolt, being self-hosted, allows users to scale their databases according to their needs, making it more flexible for custom infrastructure requirements.

In Summary, Amazon QLDB and Dolt differ in terms of data model, cost structure, query language, consistency model, use cases, and scalability options, catering to diverse needs in the database management landscape.

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Detailed Comparison

Amazon QLDB
Amazon QLDB
Dolt
Dolt

It is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log ‎owned by a central trusted authority. It can be used to track each and every application data change and maintains a complete and verifiable history of changes over time.

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.

Immutable and Transparent; Cryptographically Verifiable; Serverless; Easy to Use; Streaming Capability
SQL query interface; Git-like version control; version controlled database
Statistics
Stacks
5
Stacks
6
Followers
17
Followers
17
Votes
0
Votes
0
Integrations
AWS Lambda
AWS Lambda
Amazon Redshift
Amazon Redshift
Amazon Kinesis
Amazon Kinesis
Amazon Elasticsearch Service
Amazon Elasticsearch Service
MySQL
MySQL
Python
Python
Linux
Linux
Windows
Windows
Mac OS X
Mac OS X

What are some alternatives to Amazon QLDB, Dolt?

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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