Google Datastream - Subscribed.FYI

Google Datastream

Google Datastream is a serverless data integration service enabling real-time data movement and synchronization across databases. It offers minimal latency, seamless integration with Google Cloud, and benefits data engineers, IT teams, analysts, and developers.

Overview

Google Datastream, a leading service in the Data as a Service Software category by Google, revolutionizes data integration with its serverless change data capture and replication capabilities. It enables real-time data movement and synchronization across databases and applications, ensuring minimal latency and seamless analytics. Ready to streamline your data processes? Discover exclusive deals. For more data solutions, explore SimilarwebCrunchbase, and IBM Watsonx Data.

Why Use Google Datastream?

In the realm of data integration tools, Google Datastream stands out by:

  1. Real-Time Data Movement: Google Datastream facilitates real-time data replication and synchronization, ensuring that data is always up-to-date across various platforms and systems.
  2. Serverless Architecture: With its serverless design, Datastream eliminates the need for infrastructure management, allowing users to focus on data insights rather than operational overhead.
  3. Seamless Integration: Datastream integrates effortlessly with Google Cloud services, providing a cohesive ecosystem for data processing, storage, and analytics.
  4. Minimal Latency: The service is optimized for low-latency data movement, making it ideal for applications that require timely data updates and analytics.

Who is Google Datastream For?

Google Datastream caters to a wide range of users:

  1. Data Engineers: Data engineers use Datastream to streamline data pipelines and ensure real-time data availability for analytics and reporting.
  2. IT Teams: IT teams leverage Datastream for efficient data replication and synchronization across different systems, reducing the complexity of data management.
  3. Business Analysts: Business analysts benefit from timely data updates, enabling them to make informed decisions based on the latest information.
  4. Developers: Developers use Datastream to build applications that require real-time data access and synchronization, enhancing the user experience.

In conclusion, Google Datastream is an essential tool for organizations looking to enhance their data integration and analytics capabilities. Whether you’re a data engineer, part of an IT team, a business analyst, or a developer, Datastream provides the tools needed for efficient and real-time data management.

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Deals

Google Datastream

Data as a Service (DaaS) Software
Free Access
Free Access to Google Datastream for Real-Time Analytics

Pricing and Features

Product Tier
Pricing
Features

Google Datastream

Pricing

On-Request

  • Change Data Capture (CDC): Capture and replicate changes in real-time for up-to-date data synchronization.
  • Integration with Google Cloud Services: Easily integrate with other Google Cloud services for enhanced data analytics and processing.

Experience

Cancellation

Steps to Cancel Google Datastream Subscription.

Canceling your Google Datastream Subscription is a straightforward process. You can follow a few simple steps to initiate the cancellation or explore options to switch to a different plan. For detailed instructions, refer to Google Datastream Cancellation Guide.

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Product FAQ

hat is Google Datastream?

Google Datastream is a serverless and easy-to-use change data capture (CDC) and replication service that lets you synchronize data reliably and with minimal latency. It provides seamless replication of data from operational databases into BigQuery and supports writing the change event stream into Cloud Storage.

Can Datastream also transfer historical data?

Yes, by default, Datastream gets all historical data from the database tables of your source that you specify, in parallel to the CDC stream. You can choose to disable historical backfill if needed.

What Are the Limitations on Data Processing?

There are general limitations, and limitations that apply to specific database sources. For source-specific limitations, see the respective pages for MySQL, SQL Server, PostgreSQL, and Oracle.

Does Datastream Guarantee Exactly-Once Delivery?

No, Datastream is at-least-once delivery. The additional metadata that Datastream writes to each event can be used to remove duplicate data.

How Is Datastream Priced?

Datastream pricing is based on gigabytes (GBs) processed. Usage is billed in per-byte increments. There are no additional costs for running streams other than data processed, and an idle stream does not incur any cost. Datastream CDC costs are tiered, while backfill uses a flat rate with the first 500 GB each month free.