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  1. Stackups
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  4. Databases
  5. CockroachDB vs Google Cloud Spanner

CockroachDB vs Google Cloud Spanner

OverviewComparisonAlternatives

Overview

CockroachDB
CockroachDB
Stacks216
Followers341
Votes0
Google Cloud Spanner
Google Cloud Spanner
Stacks57
Followers117
Votes3
GitHub Stars2.0K
Forks1.1K

CockroachDB vs Google Cloud Spanner: What are the differences?

Introduction

Here we will discuss the key differences between CockroachDB and Google Cloud Spanner, two popular distributed SQL databases.

  1. Consistency Model: CockroachDB uses strict serializable isolation, which ensures that all transactions are executed serially without any interference, ensuring a high level of consistency. On the other hand, Google Cloud Spanner uses externally consistent reads, which means that transactions may observe intermediate states of other concurrent transactions, providing a balance between consistency and performance.

  2. Scaling: CockroachDB offers a transparent and automatic sharding mechanism, allowing it to scale horizontally by distributing data across multiple nodes. This enables CockroachDB to handle high write and read workloads efficiently. In contrast, Google Cloud Spanner uses a different approach where scaling is managed automatically by Google's infrastructure without requiring explicit sharding. This allows Spanner to scale horizontally without the need for manual intervention.

  3. Multi-Region Replication: CockroachDB supports multi-region replication, allowing data to be replicated across different geographical regions for improved availability and disaster recovery. This feature ensures that even if an entire region goes offline, data remains accessible from other regions. Google Cloud Spanner also offers multi-region replication, with the ability to distribute data across multiple regions globally for strong consistency and high availability.

  4. Query Language: CockroachDB uses SQL as its query language, making it easier for developers familiar with traditional relational databases to work with. It also supports distributed SQL queries and transactions across multiple nodes. On the other hand, Google Cloud Spanner uses a SQL-like query language called Spanner SQL, which is based on standard SQL but includes extensions for distributed queries and schema evolution.

  5. Strong Consistency vs. Availability: CockroachDB prioritizes strong consistency, ensuring that all read and write operations are consistent and coherent. This ensures that data is always accurate and up-to-date but can come at the cost of increased latency and limited availability under certain conditions. Google Cloud Spanner, on the other hand, prioritizes availability and scalability while providing externally consistent reads. This allows Spanner to deliver high performance and availability at the expense of potentially observing intermediate states during concurrent operations.

  6. Deployment: CockroachDB can be deployed on-premises, in private or public clouds, or as a managed service provided by Cockroach Labs. This provides flexibility and choice for organizations to use the deployment option that best suits their needs. Google Cloud Spanner, as the name suggests, is a fully managed service offered by Google Cloud. It is tightly integrated with other Google Cloud services and simplifies the management and operation of the database infrastructure.

In Summary, CockroachDB focuses on strong consistency, offers transparent scaling, and provides flexibility in deployment options. On the other hand, Google Cloud Spanner prioritizes availability and scalability, uses automated scaling, and offers tight integration with Google Cloud services.

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Detailed Comparison

CockroachDB
CockroachDB
Google Cloud Spanner
Google Cloud Spanner

CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.

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.

sql; high availability; fast; acid;
Global transactions; Strongly consistent reads; Automatic multi-site replication; Failover.
Statistics
GitHub Stars
-
GitHub Stars
2.0K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
216
Stacks
57
Followers
341
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 CockroachDB, 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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