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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. ActorDB vs Google Cloud Spanner

ActorDB vs Google Cloud Spanner

OverviewComparisonAlternatives

Overview

ActorDB
ActorDB
Stacks1
Followers12
Votes0
GitHub Stars1.9K
Forks71
Google Cloud Spanner
Google Cloud Spanner
Stacks57
Followers117
Votes3
GitHub Stars2.0K
Forks1.1K

ActorDB vs Google Cloud Spanner: What are the differences?

ActorDB: Distributed SQL database with linear scalability. 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.; Google Cloud Spanner: Fully managed, scalable, relational database service for regional and global application data. It is a globally distributed database service that gives developers a production-ready storage solution. It provides key features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover.

ActorDB and Google Cloud Spanner can be categorized as "Databases" tools.

Some of the features offered by ActorDB are:

  • 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.

On the other hand, Google Cloud Spanner provides the following key features:

  • Global transactions
  • Strongly consistent reads
  • Automatic multi-site replication

ActorDB is an open source tool with 1.77K GitHub stars and 67 GitHub forks. Here's a link to ActorDB's open source repository on GitHub.

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Detailed Comparison

ActorDB
ActorDB
Google Cloud Spanner
Google Cloud Spanner

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.

It is a globally distributed database service that gives developers a production-ready storage solution. It provides key features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover.

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.
Global transactions; Strongly consistent reads; Automatic multi-site replication; Failover.
Statistics
GitHub Stars
1.9K
GitHub Stars
2.0K
GitHub Forks
71
GitHub Forks
1.1K
Stacks
1
Stacks
57
Followers
12
Followers
117
Votes
0
Votes
3
Pros & Cons
No community feedback yet
Pros
  • 1
    Scalable
  • 1
    Horizontal scaling
  • 1
    Strongly consistent
Integrations
No integrations available
MySQL
MySQL
PostgreSQL
PostgreSQL
MongoDB
MongoDB
SQLite
SQLite

What are some alternatives to ActorDB, Google Cloud Spanner?

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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