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Google Cloud Datastore: Node.js Client

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Cloud Datastore Client Library for Node.js

Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.

Table of contents:


Before you begin

  1. Select or create a Cloud Platform project.
  2. Enable the Google Cloud Datastore API.
  3. Set up authentication with a service account so you can access the API from your local workstation.

Installing the client library

npm install @google-cloud/datastore

Using the client library

// Imports the Google Cloud client library
const {Datastore} = require('@google-cloud/datastore');

// Creates a client
const datastore = new Datastore();

async function quickstart() {
  // The kind for the new entity
  const kind = 'Task';

  // The name/ID for the new entity
  const name = 'sampletask1';

  // The Cloud Datastore key for the new entity
  const taskKey = datastore.key([kind, name]);

  // Prepares the new entity
  const task = {
    key: taskKey,
    data: {
      description: 'Buy milk',

  // Saves the entity
  console.log(`Saved ${}: ${}`);


Emulator returning DEADLINE_EXCEEDED, java.lang.OutOfMemoryError

Reference Issue: #95

When using the emulator, you may experience errors such as "DEADLINE_EXCEEDED" within your application, corresponding to an error in the emulator: "java.lang.OutOfMemoryError". These errors are unique to the emulator environment and will not persist in production.

A workaround is available, provided by @ohmpatel1997 here.


Samples are in the samples/ directory. The samples' has instructions for running the samples.

Sample Source Code Try it
Concepts source code Open in Cloud Shell
Error source code Open in Cloud Shell
Quickstart source code Open in Cloud Shell
Add Task source code Open in Cloud Shell
Delete Task source code Open in Cloud Shell
Legacy Samples source code Open in Cloud Shell
List Tasks source code Open in Cloud Shell
Update Task source code Open in Cloud Shell

The Google Cloud Datastore Node.js Client API Reference documentation also contains samples.


This library follows Semantic Versioning.

This library is considered to be General Availability (GA). This means it is stable; the code surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period. Issues and requests against GA libraries are addressed with the highest priority.

More Information: Google Cloud Platform Launch Stages


Contributions welcome! See the Contributing Guide.


Apache Version 2.0