What Integrates with Google Cloud Datastore?
Find out what Google Cloud Datastore integrations exist in 2026. Learn what software and services currently integrate with Google Cloud Datastore, and sort them by reviews, cost, features, and more. Below is a list of products that Google Cloud Datastore currently integrates with:
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New Relic
New Relic
Free 2,913 RatingsAround 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability. -
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Google Cloud Firestore
Google
3 RatingsCloud Firestore is a highly efficient, fully managed, serverless NoSQL document database designed to streamline the storage, synchronization, and querying of data for mobile, web, and IoT applications on a global scale. It features client libraries that ensure real-time synchronization and offline capabilities, while its security measures and seamless integrations with Firebase and Google Cloud Platform (GCP) facilitate the rapid development of genuinely serverless applications. With an emphasis on providing an excellent developer experience, Firestore incorporates built-in live synchronization, offline support, and ACID transactions, all accessible through a comprehensive array of client and server-side libraries. The system automatically adjusts to varying demand levels, eliminating the need for maintenance and delivering impressive availability rates between 99.99% and 99.999% through reliable data replication. Operating as a no-operations database, it allows users to pay solely for what they consume, avoiding upfront costs and issues related to underutilization of resources. Its simplified architecture enables direct communication between your applications and Firestore, enhancing overall efficiency and performance. Additionally, the continuous updates and improvements to the platform ensure that developers can leverage the latest features and security enhancements effortlessly. -
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Automatisch
Automatisch
€20 per monthAutomatisch is an open-source tool designed for business automation, allowing users to link various services, including Twitter and Slack, to streamline workflows without any need for coding. It presents both a cloud-based solution and a self-hosting alternative, which is particularly important for organizations that must manage sensitive data or comply with regulations such as GDPR. By facilitating integration with popular online services, Automatisch empowers businesses to enhance their growth through the creation of efficient workflows. As a community-driven platform, it invites contributions from developers, users, and enthusiasts, fostering a collaborative environment for its evolution. Furthermore, Automatisch's open-source nature provides the advantage of avoiding vendor lock-in, thereby minimizing reliance on a single service provider and granting businesses greater autonomy over their operational processes. This flexibility not only benefits workflow management but also encourages innovation and adaptability in a rapidly changing business landscape. -
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Google Cloud Managed Service for Apache Airflow
Google
$0.074 per vCPU hourManaged Service for Apache Airflow is a cloud-based workflow orchestration service that simplifies the creation and management of complex data pipelines. Built on the open-source Apache Airflow framework, it allows users to define workflows using Python-based DAGs. The platform is fully managed, removing the need to provision or maintain infrastructure, which helps teams focus on pipeline development and execution. It integrates with a wide range of Google Cloud services, including BigQuery, Dataflow, Cloud Storage, and Managed Service for Apache Spark. The service supports hybrid and multi-cloud environments, enabling organizations to orchestrate workflows across different platforms. It offers advanced monitoring and troubleshooting tools, including visual workflow representations and logs. New features such as DAG versioning and improved scheduling enhance reliability and control. The platform also supports CI/CD pipelines and DevOps automation use cases. Its open-source foundation ensures flexibility and avoids vendor lock-in. Overall, it provides a powerful and scalable solution for managing data workflows and automation processes.
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