Integrate Amazon DynamoDB with Harvest

Appy Pie Connect allows you to automate multiple workflows between Amazon DynamoDB and Harvest

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About Amazon DynamoDB

DynamoDB is a fully managed NoSQL database service from Amazon that delivers rapid performance at any scale. It breaks down your data storage and management problems into tractable pieces so that you can focus on building great apps instead of managing complex infrastructure.

About Harvest

Harvest is a cloud-based time tracking tool designed for businesses of all sizes. The solution provides timesheet and invoicing features for small businesses and freelancers. Key features include time and expense management, team management, project management, scheduling and invoicing.

Harvest Integrations
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Best Amazon DynamoDB and Harvest Integrations

  • Amazon DynamoDB Integration Harvest Integration

    Amazon DynamoDB + Harvest

    Creates Timesheet Entry to Harvest from New Table in Amazon DynamoDB Read More...
    Close
    When this happens...
    Amazon DynamoDB Integration New Table
     
    Then do this...
    Harvest Integration Creates Timesheet Entry
  • Amazon DynamoDB Integration Harvest Integration

    Amazon DynamoDB + Harvest

    Creates Timesheet Entry to Harvest from New Item in Amazon DynamoDB Read More...
    Close
    When this happens...
    Amazon DynamoDB Integration New Item
     
    Then do this...
    Harvest Integration Creates Timesheet Entry
  • Amazon DynamoDB Integration Amazon DynamoDB Integration

    Harvest + Amazon DynamoDB

    Create Item to Amazon DynamoDB from New User Assignment in Harvest Read More...
    Close
    When this happens...
    Amazon DynamoDB Integration New User Assignment
     
    Then do this...
    Amazon DynamoDB Integration Create Item
  • Amazon DynamoDB Integration Amazon DynamoDB Integration

    Harvest + Amazon DynamoDB

    Create Item to Amazon DynamoDB from New Project in Harvest Read More...
    Close
    When this happens...
    Amazon DynamoDB Integration New Project
     
    Then do this...
    Amazon DynamoDB Integration Create Item
  • Amazon DynamoDB Integration Amazon DynamoDB Integration

    Harvest + Amazon DynamoDB

    Create Item to Amazon DynamoDB from New Client in Harvest Read More...
    Close
    When this happens...
    Amazon DynamoDB Integration New Client
     
    Then do this...
    Amazon DynamoDB Integration Create Item
  • Amazon DynamoDB Integration {{item.actionAppName}} Integration

    Amazon DynamoDB + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect Amazon DynamoDB + Harvest in easier way

It's easy to connect Amazon DynamoDB + Harvest without coding knowledge. Start creating your own business flow.

    Triggers
  • New Item

    Trigger when new item created in table.

  • New Table

    Trigger when new table created.

  • New Client

    Triggers when you add a new client.

  • New Contact

    Triggers when you add a new contact.

  • New Invoice

    Triggers when you add a new invoice (with line item support).

  • New Invoice

    Triggers when you add a new invoice.

  • New Person

    Triggers when you add a new person.

  • New Project

    Triggers when you add a new project.

  • New Task

    Triggers when you add a new task.

  • New Timesheet Entry

    Triggers when a new timesheet entry is created for today.

  • New User Assignment

    Triggers when a person is assigned to a project.

    Actions
  • Create Item

    Creates new item in table.

  • Create Update Item

    Create a new item or updates an existing item.

  • Creates Timesheet Entry

    Creates a new timesheet entry for the current day.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Amazon DynamoDB & Harvest Integrations Work

  1. Step 1: Choose Amazon DynamoDB 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 Harvest 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 Amazon DynamoDB to Harvest.

    (2 minutes)

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

Integration of Amazon DynamoDB and Harvest

Amazon DynamoDB is a database service that provides fast and predictable performance with seamless scalability. It is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.It is fully managed, meaning there are no servers to maintain. With the capacity to scale storage and throughput independently, you can add capacity with zero downtime.Example. Joe owns a coffee shop. He has a huge demand for ordering custom coffees online as his business grows. He starts with a MySQL database but it does not meet his requirements. He adds more capacity to his database by adding new servers but this results in high replication cost and high failure rate. In order to provide good customer experience, he has to guarantee high availability. He decides to use Amazon DynamoDB which can scale storage and throughput independently. He also enjoys the benefit of high availability and durability without having to worry about managing servers.Base Pricing. $0.25 per hour for an active database instance.Pricing calculatorHow much do you pay monthly? 1GB (db. / 500GB (table. / 10 units (stream)How many transactions per month? 10,000 / 100,000 / 1,000,000How much data do you need to store? 2GB / 5GB / 10GBHow many hours of availability/month? 12 / 24 / 36Enterprise-Grade ReliabilityDynamoDB automatically replicates your data across three facilities and stores each item in two facilities. This ensures that your data is durable and available if there's an issue with one facility.What do I get?  Global distribution, enterprise-grade reliability with strong consistency, auto-sharding, auto-scaling, metrics and alarms, backup retention policies and cross-region replication.I. Integration of Amazon DynamoDB and Harvest

Harvest is an open source analytics application that makes it easy for users to ingest, process, search, and report on data at massive scale. It allows users to create flexible data pipelines using simple configuration files, which makes it easier for users to build multi-stage processing systems without worrying about managing individual nodes or clusters of nodes.A typical system would have a source component that ingests data from some external source (a database like DynamoDB, S3 buckets or log files. The source component passes the data on to one or more processors that perform analysis on the data and then pass the data on to a sink component for persisting or storing the final results. The diagram below shows how DynamoDB can be integrated into Harvest by creating an AWS Lambda function written in Python to read from a DynamoDB stream and write the results into a Harvest table. Users who want to query the stored data run queries against the Harvest table directly using Harvest's query language or through another tool like Impala or Presto.I. Benefits of Integration of Amazon DynamoDB and Harvest

The benefits are as follows:

  • Improved Query Performance – Users can query the data directly from Harvest instead of reading data from DynamoDB and storing it in an intermediate table in S3 before querying it. This avoids unnecessary disk I/O and improves query performance by reducing latency time between source and destination.
  • Reduced Cost – Users no longer need to pay for additional S3 storage for intermediate tables since they can store all their data in DynamoDB directly. They also don't need extra read/write capacity in DynamoDB for processing the data since processing happens within their Lambda functions running on EC2 instances optimized for low latency compute workloads. They are also no longer required to store the results in another table after processing them as they can store results directly in DynamoDB after processing the data in their Lambda functions running on EC2 instances optimized for low latency compute workloads.
  • Flexibility – Users are not locked into a single processing pipeline but can define multiple pipelines depending on their needs and requirements. For example, they can even implement their own custom processing stages if they are not satisfied by the available processors provided by Harvest or if there is something unique that they want to do in their pipeline that no other processor provides.

    Integration of Amazon DynamoDB and Harvest

Users can set up a pipeline in Harvest with a stream from Amazon DynamoDB as shown below:Users can customize the steps in their pipeline depending on their needs and requirements as shown below:Users can also create multiple datasets in their pipeline depending on their needs as shown below:

    Benefits of Integration of Amazon DynamoDB and Harvest

The benefits are as follows:

  • Improved Query Performance – Users can query the data directly from Harvest instead of reading data from DynamoDB and storing it in an intermediate table in S3 before querying it. This avoids unnecessary disk I/O and improves query performance by reducing latency time between source and destination. 2. Reduced Cost – Users no longer need to pay for additional S3 storage for intermediate tables since they can store all their data in DynamoDB directly. They also don't need extra read/write capacity in DynamoDB for processing the data since processing happens within their Lambda functions running on EC2 instances optimized for low latency compute workloads. They are also no longer required to store the results in another table after processing them as they can store results directly in DynamoDB after processing the data in their Lambda functions running on EC2 instances optimized for low latency compute workloads. 3. Flexibility – Users are not locked into a single processing pipeline but can define multiple pipelines depending on their needs and requirements. For example, they can even implement their own custom processing stages if they are not satisfied by the available processors provided by Harvest or if there is something unique that they want to do in their pipeline that no other processor provides.

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