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.
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
Amazon DynamoDB + HarvestCreates Timesheet Entry to Harvest from New Table in Amazon DynamoDB Read More...
Amazon DynamoDB + HarvestCreates Timesheet Entry to Harvest from New Item in Amazon DynamoDB Read More...
Harvest + Amazon DynamoDBCreate Item to Amazon DynamoDB from New User Assignment in Harvest Read More...
Harvest + Amazon DynamoDBCreate Item to Amazon DynamoDB from New Project in Harvest Read More...
Harvest + Amazon DynamoDBCreate Item to Amazon DynamoDB from New Client in Harvest Read More...
It's easy to connect Amazon DynamoDB + Harvest without coding knowledge. Start creating your own business flow.
Trigger when new item created in table.
Trigger when new table created.
Triggers when you add a new client.
Triggers when you add a new contact.
Triggers when you add a new invoice (with line item support).
Triggers when you add a new invoice.
Triggers when you add a new person.
Triggers when you add a new project.
Triggers when you add a new task.
Triggers when a new timesheet entry is created for today.
Triggers when a person is assigned to a project.
Creates new item in table.
Create a new item or updates an existing item.
Creates a new timesheet entry for the current day.
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:
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:
The benefits are as follows:
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.