Google Cloud Spanner vs PipelineDB

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Google Cloud Spanner
Google Cloud Spanner

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PipelineDB

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Google Cloud Spanner vs PipelineDB: What are the differences?

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; PipelineDB: The Streaming SQL Database. PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

Google Cloud Spanner and PipelineDB can be primarily classified as "Databases" tools.

Some of the features offered by Google Cloud Spanner are:

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

On the other hand, PipelineDB provides the following key features:

  • No Application Code
  • Runs on PostgreSQL
  • Eliminate ETL
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What is Google Cloud Spanner?

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.

What is PipelineDB?

PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.
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          What tools integrate with Google Cloud Spanner?
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          What are some alternatives to Google Cloud Spanner and PipelineDB?
          Google Cloud SQL
          MySQL databases deployed in the cloud without a fuss. Google Cloud Platform provides you with powerful databases that run fast, don’t run out of space and give your application the redundant, reliable storage it needs.
          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.
          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.
          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.
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