Google Cloud Spanner vs H2 Database

Overview

H2 Database

Stacks1.3K

Followers121

Votes0

Google Cloud Spanner

Stacks57

Followers117

Votes3

GitHub Stars2.0K

Forks1.1K

Google Cloud Spanner vs H2 Database: What are the differences?

Introduction

This Markdown code provides a comparison between Google Cloud Spanner and H2 Database. The key differences between the two databases are outlined below.

Scalability: Google Cloud Spanner is designed to be a globally distributed and highly scalable database system. It offers automatic scaling capabilities and can handle large amounts of data across multiple regions. On the other hand, H2 Database is a lightweight, embedded, and single-user database primarily suitable for small to medium-sized applications. It does not have built-in support for global scalability.
Consistency Model: Google Cloud Spanner uses a globally consistent and distributed ACID (Atomicity, Consistency, Isolation, Durability) transaction model. It ensures that transactions are consistently applied across all nodes, allowing strong consistency across the database. H2 Database, on the other hand, supports ACID transactions within a single JVM (Java Virtual Machine), but it does not offer distributed ACID transactions.
Availability and Reliability: Google Cloud Spanner provides high availability and reliability, with automatic replication and failover mechanisms. It offers a 99.999% SLA (Service Level Agreement) for global availability. H2 Database, being an embedded database, relies on the availability and reliability of the host application and does not offer built-in mechanisms for high availability or automatic replication.
Data Replication and Synchronization: Google Cloud Spanner automatically replicates data across multiple regions for durability and high availability. It also provides automatic data synchronization and conflict resolution. In contrast, H2 Database does not have built-in support for automatic data replication or synchronization. It relies on the application's logic or external mechanisms for data replication and synchronization.
Query Language Support: Google Cloud Spanner supports SQL-based queries with additional enhancements for distributed transactions and schema evolution. It allows complex queries across tables and supports advanced features like joins and aggregations. H2 Database also supports SQL queries but does not have built-in support for distributed transactions or advanced features like distributed joins.
In-Memory Performance: H2 Database can be configured to run in-memory, providing fast access and processing of data. It is suitable for applications that prioritize performance over durability or long-term storage. In contrast, while Google Cloud Spanner offers good performance, it does not have the same level of in-memory performance as H2 Database.

In summary, Google Cloud Spanner offers global scalability, distributed ACID transactions, high availability, automatic data replication, advanced SQL capabilities, and strong consistency. H2 Database, on the other hand, is a lightweight, single-user database with in-memory performance, suitable for small to medium-sized applications.

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Detailed Comparison

H2 Database	Google Cloud Spanner
It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.	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.
-	Global transactions; Strongly consistent reads; Automatic multi-site replication; Failover.
Statistics
GitHub Stars -	GitHub Stars 2.0K
GitHub Forks -	GitHub Forks 1.1K
Stacks 1.3K	Stacks 57
Followers 121	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 PostgreSQL MongoDB SQLite

What are some alternatives to H2 Database, Google Cloud Spanner?

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

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 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 is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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

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 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

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 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

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.

Related Comparisons

Google Cloud Spanner vs H2 Database: What are the differences?

Introduction

This Markdown code provides a comparison between Google Cloud Spanner and H2 Database. The key differences between the two databases are outlined below.

Scalability: Google Cloud Spanner is designed to be a globally distributed and highly scalable database system. It offers automatic scaling capabilities and can handle large amounts of data across multiple regions. On the other hand, H2 Database is a lightweight, embedded, and single-user database primarily suitable for small to medium-sized applications. It does not have built-in support for global scalability.
Consistency Model: Google Cloud Spanner uses a globally consistent and distributed ACID (Atomicity, Consistency, Isolation, Durability) transaction model. It ensures that transactions are consistently applied across all nodes, allowing strong consistency across the database. H2 Database, on the other hand, supports ACID transactions within a single JVM (Java Virtual Machine), but it does not offer distributed ACID transactions.
Availability and Reliability: Google Cloud Spanner provides high availability and reliability, with automatic replication and failover mechanisms. It offers a 99.999% SLA (Service Level Agreement) for global availability. H2 Database, being an embedded database, relies on the availability and reliability of the host application and does not offer built-in mechanisms for high availability or automatic replication.
Data Replication and Synchronization: Google Cloud Spanner automatically replicates data across multiple regions for durability and high availability. It also provides automatic data synchronization and conflict resolution. In contrast, H2 Database does not have built-in support for automatic data replication or synchronization. It relies on the application's logic or external mechanisms for data replication and synchronization.
Query Language Support: Google Cloud Spanner supports SQL-based queries with additional enhancements for distributed transactions and schema evolution. It allows complex queries across tables and supports advanced features like joins and aggregations. H2 Database also supports SQL queries but does not have built-in support for distributed transactions or advanced features like distributed joins.
In-Memory Performance: H2 Database can be configured to run in-memory, providing fast access and processing of data. It is suitable for applications that prioritize performance over durability or long-term storage. In contrast, while Google Cloud Spanner offers good performance, it does not have the same level of in-memory performance as H2 Database.

Google Cloud Spanner vs H2 Database

Overview

Google Cloud Spanner vs H2 Database: What are the differences?