Integrate MINDBODY with Cloud Firestore

Appy Pie Connect allows you to automate multiple workflows between MINDBODY and Cloud Firestore

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About MINDBODY

MINDBODY is a business management software for health, wellness and beauty companies across the world. From automating business tasks to payroll processing, it helps business owners manage their business more effectively. Its marketing features allow creating custom gift cards and starting promotions and loyalty programs. Screen reader support enabled.

About Cloud Firestore

Cloud Firestore is a cloud-hosted, NoSQL database that your iOS, Android, and web apps can access directly via native SDKs.

Want to explore MINDBODY + Cloud Firestore quick connects for faster integration? Here’s our list of the best MINDBODY + Cloud Firestore quick connects.

Explore quick connects

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Connect MINDBODY + Cloud Firestore in easier way

It's easy to connect MINDBODY + Cloud Firestore without coding knowledge. Start creating your own business flow.

  • Triggers
  • Appointment Booking Updated

    Triggers when a staff appointment updated

  • Class Description Updated

    Triggers when a class Description is updated

  • Class Roster Booking Status Updated

    Triggers when a Class Roster Booking status is updated

  • Class Schedule Updated

    Triggers when class schedule is updated

  • Class Updated

    Triggers when a class is updated

  • Client Contract Updated

    Triggers when a Client Contract is updated

  • New Class

    Triggers when a new class is created

  • New Class Visit

    Triggers when a new class visit is created.

  • New Contract

    Triggers when a new contract is created.

  • New Enrollment

    Triggers when a new enrollment is created

  • New Product

    Triggers when a new product created

  • New Registrant

    Triggers when a new registrant is created.

  • New Sale

    Triggers when a new sale is created.

  • New Staff Appointment

    Triggers when a new staff appointment created

  • Staff Updated

    Triggers when a staff is updated

  • Updated Registrant

    Triggers when new registrant added or an existing registrant is updated.

  • New Document Within a Firestore Collection

    New Document Within a Firestore Collection

  • Actions
  • Add Appointment

    Action when a new appointment created

  • Create Sale

    Creates a new sale.

  • Create Update User

    Create a new user or updates an existing user.

  • Create User

    Create New User

  • Create Cloud Firestore Document

    Creates a new document within a Cloud Firestore collection.

How MINDBODY & Cloud Firestore Integrations Work

  1. Step 1: Choose MINDBODY as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Cloud Firestore as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from MINDBODY to Cloud Firestore.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of MINDBODY and Cloud Firestore

Mindbody is the leading cloud-based software for health and wellness clubs. Their software is used by over 13,000 health clubs across the country. They provide integrated software to manage both fitness and wellness clubs. They also provide online booking, website, mobile app, and a comprehensive member management system. Mindbody has been using MongoDB since 2011 as their primary database in production. In 2014 they started using Google Cloud Platform (GCP. for their public cloud needs. It was a natural fit for them to move to Cloud Firestore, the new NoSQL document database.

Cloud Firestore is a fully managed NoSQL document database that supports real-time data syncing across clients in different locations. It allows developers to write code in a variety of programming languages that automatically scales with the business. Cloud Firestore automatically manages the underlying infrastructure, so developers can focus on writing high-quality code. Cloud Firestore is built on top of Cloud Spanner, Google’s globally distributed database service that provides strong consistency without sacrificing performance or availability. Cloud Firestore is designed to be fast, flexible, simple to use, and available anywhere.

MINDBODY and Cloud FirestoreMINDBODY has been using MongoDB for their production systems since 2011. MINDBODY has over 85 petabytes of data spread across hundreds of databases and thousands of cplections. As their cplection sizes grow, they are faced with scaling challenges. MINDBODY operates at a high scale and currently processes over 36 billion database queries per day. When they started moving to GCP, they began building up their team with people who are familiar with Cloud technpogies. The team decided on integrating MINDBODY with Cloud Firestore because of the seamless integration with Google Cloud platform. They are able to take advantage of scaling GCP resources as they needed without having to worry about managing complex cluster configurations in MongoDB. They were able to easily migrate from MongoDB to Cloud Firestore by using the provided tops such as Cloud Firestore migration top that converts data stored in MongoDB into Cloud Firestore documents. MINDBODY now uses Cloud Spanner and Cloud Firestore for most of their data storage needs. Cloud Firestore is used primarily for their user data and support ticketing system.

Cloud Firestore Benefits

The benefits of integrating MINDBODY and Cloud Firestore include:• Seamless integration with GCP. By leveraging GCP’s powerful suite of products, MINDBODY is able to build applications faster without worrying about infrastructure requirements. Since MINDBODY uses Google App Engine for their email system, they are able to leverage the same security features and APIs for their data storage needs. This means that they don’t have to worry about integrating an email system into their new application.• Easy migration from MongoDB. By using the provided tops such as Cloud Firestore migration top that converts data stored in MongoDB into Cloud Firestore documents, MINDBODY was able to easily migrate from MongoDB to Cloud Firestore.• Flexible data model. MINDBODY used JSON documents in MongoDB which made it difficult to query against specific fields in each document. With Cloud Firestore, they are able to create a schema for each cplection and write queries against specific fields within each document.• Strong consistency. Cloud Spanner guarantees abspute consistency and read/write availability despite failures of machines, racks or data centers. It offers row-level locking, multi-region replicated reads, asynchronous replication, and automated failover.• Low latency. Cloud Firestore offers low latency reads and writes by storing all data in RAM and replicating it across multiple zones for higher availability. Data is persisted on disk for durability but reads are served directly from RAM via memcache-like eviction ppicies that automatically remove pd data from memory based on a configurable time-to-live ppicy.Cloud Firestore LimitationsThere are some limitations to Cloud Firestore that MINDBODY has run into when trying to use it as a primary database:• No global secondary indexes. A global secondary index can be created across multiple documents in a cplection by listing every field name that should be included in the index in the index definition. Some cplections have tens of thousands of documents which makes creating global secondary indexes inefficient and time consuming. Instead of creating a global secondary index, MINDBODY creates multiple local indexes on individual fields which reduces overall performance during write operations.• No versioning support. MINDBODY is using the document datatype in the hopes of adding future support for versioning their documents via ACID transactions but this doesn’t seem to be currently available in Cloud Firestore. The only way to go back in history is by querying against previous versions which makes it difficult to develop applications that require support for real-time changes that need to rplback when necessary.• No map reduce functions or custom functions. While MINDBODY does not rely heavily on map reduce functions or custom functions, these would be nice additions to enhance performance when dealing with larger datasets.• No multi-region replication. Currently Cloud Firestore does not support multi-region replication which limits the number of readers allowed to access a single database instance at once. This limitation has resulted in MINDBODY creating multiple instances of the same database across multiple regions so there is enough capacity to handle high traffic loads from users accessing the database from different regions around the world.

The process to integrate MINDBODY and Cloud Firestore may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.

Page reviewed by: Abhinav Girdhar  | Last Updated on November 09,2022 06:11 pm