Alternatives to Google Cloud Spanner logo

Alternatives to Google Cloud Spanner

Google Cloud SQL, Cassandra, Oracle, Google Cloud Datastore, and PostgreSQL are the most popular alternatives and competitors to Google Cloud Spanner.
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What is Google Cloud Spanner and what are its top alternatives?

Google Cloud Spanner is an enterprise-grade, globally-distributed SQL database service from Google Cloud Platform. It combines the benefits of traditional relational databases with horizontal scalability, strong consistency, and high availability. Key features include automatic sharding, ACID transactions, data replication, and global distribution. However, Google Cloud Spanner may be costly for small-scale applications and has some limitations in terms of query flexibility and indexing options.

  1. CockroachDB: CockroachDB is a distributed SQL database that offers horizontal scalability, strong consistency, and multi-region support. Key features include automated sharding, ACID transactions, and SLE pattern for high availability. Pros include open-source availability and compatibility with PostgreSQL, but it may have a learning curve for users unfamiliar with distributed systems.
  2. Amazon Aurora: Amazon Aurora is a MySQL and PostgreSQL-compatible relational database service from AWS that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Key features include automatic failover, continuous backups, and compatibility with MySQL and PostgreSQL. Pros include seamless integration with AWS services and pay-as-you-go pricing, but it may be limited in terms of scalability compared to Google Cloud Spanner.
  3. Azure SQL Database: Azure SQL Database is a cloud-based relational database service from Microsoft that offers built-in intelligence, security, and high availability. Key features include automatic tuning, advanced security capabilities, and compatibility with SQL Server. Pros include seamless integration with Azure services and advanced security features, but it may have limitations in terms of scalability and global distribution compared to Google Cloud Spanner.
  4. DynamoDB: DynamoDB is a fully-managed NoSQL database service from AWS that offers fast and predictable performance with seamless scalability. Key features include automatic scaling, built-in security, and low latency at any scale. Pros include seamless integration with AWS services and pay-as-you-go pricing, but it may not offer the same level of relational capabilities as Google Cloud Spanner.
  5. YugabyteDB: YugabyteDB is an open-source, distributed SQL database that offers high availability, scalability, and geo-partitioning capabilities. Key features include ACID transactions, distributed SQL support, and multi-region deployments. Pros include open-source availability and compatibility with PostgreSQL, but it may have limited adoption compared to more established alternatives like Google Cloud Spanner.
  6. TiDB: TiDB is a distributed NewSQL database that offers horizontal scalability, strong consistency, and real-time analytics capabilities. Key features include MySQL compatibility, automatic sharding, and hybrid transaction/analytical processing. Pros include open-source availability and compatibility with SQL, but it may have limitations in terms of advanced features compared to Google Cloud Spanner.
  7. MemSQL: MemSQL is a distributed, in-memory SQL database that offers real-time analytics, high performance, and scalability. Key features include in-memory processing, distributed SQL support, and compatibility with MySQL. Pros include high performance and scalability, but it may have limitations in terms of pricing and ease of use compared to Google Cloud Spanner.
  8. FaunaDB: FaunaDB is a global, distributed database that offers developer-friendly APIs, real-time data synchronization, and global replication. Key features include document-based queries, ACID transactions, and support for serverless applications. Pros include easy integration with serverless platforms and modern developer tools, but it may have limitations compared to Google Cloud Spanner in terms of global consistency and advanced SQL capabilities.
  9. QuestDB: QuestDB is a high-performance, open-source SQL database that offers fast analytics on time-series data. Key features include columnar storage, parallel processing, and SQL compatibility. Pros include open-source availability and fast query performance, but it may have limitations in terms of scalability and advanced features compared to Google Cloud Spanner.
  10. SingleStore: SingleStore is a distributed SQL database that offers high performance, scalability, and real-time analytics capabilities. Key features include in-memory processing, distributed SQL support, and compatibility with MySQL. Pros include fast query performance and scalability, but it may have limitations in terms of pricing and ease of use compared to Google Cloud Spanner.

Top Alternatives to Google Cloud Spanner

  • Google Cloud SQL
    Google Cloud SQL

    Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management. ...

  • 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. ...

  • Oracle
    Oracle

    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database. ...

  • Google Cloud Datastore
    Google Cloud Datastore

    Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries. ...

  • 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. ...

  • 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. ...

  • 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. ...

  • Redis
    Redis

    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams. ...