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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. ActorDB vs MySQL

ActorDB vs MySQL

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
ActorDB
ActorDB
Stacks1
Followers12
Votes0
GitHub Stars1.9K
Forks71

ActorDB vs MySQL: What are the differences?

<Write Introduction here>
  1. Data Model: ActorDB is a distributed database system that uses the Actor model, enabling concurrent processing of data, whereas MySQL follows a traditional relational database model, with tables, rows, and columns.
  2. Scaling: ActorDB is designed to be horizontally scalable, allowing it to distribute data across multiple nodes seamlessly and handle higher workloads, while MySQL typically relies on vertical scaling, adding more resources to a single server to handle increased data and traffic.
  3. Consistency: ActorDB emphasizes on strong consistency guarantees, ensuring that data remains consistent across distributed nodes, whereas MySQL may prioritize availability over consistency in certain settings, leading to eventual consistency.
  4. Concurrency: ActorDB leverages its Actor model to achieve high levels of concurrent data processing, enabling multiple operations to occur simultaneously without contention, as opposed to MySQL, which may face challenges with high concurrency due to its centralized architecture.
  5. Fault Tolerance: ActorDB is inherently fault-tolerant, with built-in mechanisms to handle node failures and ensure data integrity, while MySQL may require additional configurations or setups to achieve similar levels of fault tolerance.
  6. Query Language: ActorDB uses its own query language called 'Alchemy,' designed specifically for the Actor model and distributed system, offering unique capabilities compared to MySQL's traditional SQL language.
In Summary, ActorDB and MySQL differ significantly in their data model, scaling capabilities, consistency guarantees, concurrency handling, fault tolerance mechanisms, and query language.

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Advice on MySQL, ActorDB

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

MySQL
MySQL
ActorDB
ActorDB

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.

ActorDB is a distributed SQL database... with the scalability of a KV store, while keeping the query capabilities of a relational database. ActorDB is ideal as a server side database for apps.

-
Complete horizontal scalability. All nodes are equivalent and you can have as many nodes as you need.;Full featured ACID database.;Suitable for very large datasets over many actors and servers.;No special drivers needed. Use the mysql driver of your language of choice.;Easy to configure and administer.;No global locks. Only the actors (one or many) involved in a transaction are locked during a write. All other actors are unaffected.;Uses stable reliable SQL and storage engines: SQLite on top of LMDB.;Inherits SQLite features like JSON support and common table expressions.
Statistics
GitHub Stars
11.8K
GitHub Stars
1.9K
GitHub Forks
4.1K
GitHub Forks
71
Stacks
129.6K
Stacks
1
Followers
108.6K
Followers
12
Votes
3.8K
Votes
0
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
No community feedback yet

What are some alternatives to MySQL, ActorDB?

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.

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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