As a data engineer, you hold all the cards to make data easily accessible to your business teams. Your team just requested a NetSuite to Snowflake connection on priority. We know you don’t want to keep your data scientists and business analysts waiting to get critical business insights. As the most direct approach, you can go straight for the CSV files exporting if this is a one-time thing. Or, hunt for a no-code tool that fully automates & manages data integration for you while you focus on your core objectives.

Well, look no further. This article provides a step-by-step guide to connecting NetSuite to Snowflake effectively and quickly delivering data to your finance team. 

Replicate Data from NetSuite to Snowflake Using CSV

To start replicating data from NetSuite to Snowflake, firstly, you need to export data as CSV files from NetSuite, then import the CSV files into Snowflake and modify your data according to your needs.

  • Step 1: You must navigate to Setup > Import/Export > Export Tasks > Full CSV Export. After clicking submit button, a ZIP file will be downloaded into your local system. You can extract all the CSV files from the ZIP file.
  • Step 2: Using the data loading wizard method found in the Snowflake Web Interface, you can upload the CSV file to Snowflake. By choosing the table, you want to load, click the Import button on the Snowflake Web UI, and you can quickly load data into Snowflake. By removing all staged files right away after loading them into the data warehouse, the staging and data loading tasks are combined together into a single action. 

You can get more insight into loading CSV files through the web interface, along with other handy methods here.

This 2-step process using CSV  is a great way to replicate data from NetSuite to Snowflake effectively. It is optimal for the following scenarios:

  • One-Time Data Replication: When your finance team needs the NetSuite data only once in a long period of time. 
  • No Data Transformation Required: If there is a negligible need for data transformation and your data is standardized, then this method is ideal. 
  • Small Amount of Data: Since the amount of data is small, the accuracy of data replication would be high, making this method a good fit.

In the following scenarios, using CSV might not be a great fit:

  • Data Mapping: Only basic data can be moved. Complex configurations cannot take place. There is no distinction between text, numeric values, and null and quoted values.
  • Time Consuming:  If you plan to export your data frequently, there may be better choices than the CSV method since it takes time to replicate the data using CSV files. 

When the frequency of replicating data from NetSuite increases, this process becomes highly monotonous. It adds to your misery when you have to transform the raw data every single time. With the increase in data sources, you would have to spend a significant portion of your engineering bandwidth creating new data connectors. Just imagine — building custom connectors for each source, transforming & processing the data, tracking the data flow individually, and fixing issues. Doesn’t it sound exhausting?

How about you focus on more productive tasks than repeatedly writing custom ETL scripts? This sounds good, right?

In these cases, you can… 

Automate the Data Replication process using a No-Code Tool

Here, are the benefits of leveraging a no-code tool:

  • Automated pipelines allow you to focus on core engineering objectives while your business teams can directly work on reporting without any delays or data dependency on you.
  • Automated pipelines provide a beginner-friendly UI. Tasks like configuring and establishing a connection with source and destination, providing credentials and authorization details, performing schema mapping etc. are a lot simpler with this UI. It saves the engineering teams’ bandwidth from tedious preparation tasks.

For instance, here’s how Hevo, a cloud-based ETL tool, makes NetSuite to Snowflake data replication ridiculously easy:

Step 1: Configure NetSuite as a Source

Authenticate and Configure your NetSuite Source.

Step 2: Configure Snowflake as a Destination

In the next step, we will configure Snowflake as the destination.

Step 3: All Done to Setup Your ETL Pipeline

Once your NetSuite to Snowflake ETL Pipeline is configured, Hevo will collect new and updated data from NetSuite every five minutes (the default pipeline frequency) and duplicate it into Snowflake. Depending on your needs, you can adjust the pipeline frequency from 5 minutes to an hour.

Data Replication Frequency

Default Pipeline FrequencyMinimum Pipeline FrequencyMaximum Pipeline FrequencyCustom Frequency Range (Hrs)
1 Hr15 Mins24 Hrs1-24

In a matter of minutes, you can complete this No-code & automated approach of connecting NetSuite to Snowflake using Hevo and start analyzing your data.

Hevo classifies the NetSuite objects into three categories to distinguish the type of data being replicated:

  • Transaction: Transaction objects have data about your business, such as financial agreements and inventory adjustments. All the objects listed under Transaction are replicated in the Transaction table at the destination.
  • Item: Item objects have data of inventory items that you buy and sell, assemblies you manufacture, or services you provide to customers. All the objects listed under Item are replicated in the Item table.
  • Standard: All other objects are classified as standard objects and replicated in their respective tables.

Hevo offers 150+ plug-and-play connectors(Including 40+ free sources). It efficiently replicates your data from NetSuite to Snowflake, databases, data warehouses, or a destination of your choice in a completely hassle-free & automated manner. Hevo’s fault-tolerant architecture ensures that the data is handled securely and consistently with zero data loss. It also enriches the data and transforms it into an analysis-ready form without having to write a single line of code.

Hevo’s reliable data pipeline platform enables you to set up zero-code and zero-maintenance data pipelines that work. Here’s what allows Hevo to stand out in the marketplace:

  • Fully Managed: You don’t need to dedicate time to building your pipelines. With Hevo’s dashboard, you can monitor all the processes in your pipeline, thus giving you complete control over it.
  • Data Transformation: Hevo provides a simple interface to cleanse, modify, and transform your data through drag-and-drop features and Python scripts. It can accommodate multiple use cases with its pre-load and post-load transformation capabilities.
  • Faster Insight Generation: Hevo offers near real-time data replication, so you have access to real-time insight generation and faster decision-making. 
  • Schema Management: With Hevo’s auto schema mapping feature, all your mappings will be automatically detected and managed to the destination schema.
  • Scalable Infrastructure: With the increase in the number of sources and volume of data, Hevo can automatically scale horizontally, handling millions of records per minute with minimal latency.
  • Transparent pricing: You can select your pricing plan based on your requirements. Different plans are clearly put together on its website, along with all the features it supports. You can adjust your credit limits and spend notifications for any increased data flow.
  • Live Support: The support team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.

Take our 14-day free trial to experience a better way to manage data pipelines.

Get started for Free with Hevo!

What Can You Achieve by Migrating Your Data from NetSuite to Snowflake?

Here’s a little something for the data analyst of your team. We’ve mentioned a few core insights you could get by replicating data from NetSuite to Snowflake. Does your use case make the list?

  • How does CMRR (Churn Monthly Recurring Revenue) vary by Marketing campaign?
  • How much of the Annual Revenue was from In-app purchases?
  • Which campaigns have the most support costs involved?
  • For which geographies are marketing expenses the most?
  • Which campaign is more profitable?
  • What does your overall business cash flow look like?
  • Which sales channel provides the highest purchase orders?

Summing It Up

CSV files is the right path for you when your team needs data from NetSuite once in a while. However, an ETL solution becomes necessary if there are rapid changes in the source and frequent data replication needs to be done to meet the data demands of your product or finance channel. You can free your engineering bandwidth from these repetitive & resource-intensive tasks by selecting Hevo’s 150+ plug-and-play integrations.

Visit our Website to Explore Hevo

Saving countless hours of manual data cleaning & standardizing, Hevo’s pre-load data transformations get it done in minutes via a simple drag-n-drop interface or your custom python scripts. No need to go to your data warehouse for post-load transformations. You can run complex SQL transformations from the comfort of Hevo’s interface and get your data in the final analysis-ready form. 

Want to take Hevo for a ride? Sign Up for a 14-day free trial and simplify your data integration process. Check out the pricing details to understand which plan fulfills all your business needs.

Share your experience of replicating data from NetSuite to Snowflake! Let us know in the comments section below!

Former Research Analyst, Hevo Data

Harsh comes with experience in performing research analysis who has a passion for data, software architecture, and writing technical content. He has written more than 100 articles on data integration and infrastructure.

No-code Data Pipeline For Snowflake