Elastic Tables in Dataverse: When to Use Them and How to Implement Them Step by Step

Elastic Tables in Dataverse: When to Use Them (And How to Implement Them Step by Step)

Your Dataverse environment suddenly has 3 million log records.
API calls are slowing down.
Users start complaining about performance.

During a design review, someone asks:
Why didn’t we use Elastic tables? But what are Elastic tables really — and when should we use them?

Let’s break it down — strategically and practically.

What Are Elastic Tables?

In Dataverse, Elastic tables are designed for:

High-volume data storage
Write-heavy workloads
Log-style or event-driven scenarios

They are optimized differently from standard tables. Instead of focusing on complex relational behavior, Elastic tables prioritize scale and throughput.

They are ideal for:

Telemetry data
Integration logs
Audit events
IoT ingestion

However, they are not meant for relational-heavy business data like Accounts or Orders.

Standard vs Elastic Tables: A Strategic Comparison

Choosing between standard and Elastic tables is not about “better” or “worse.”
It’s about use case alignment.

Feature	Standard Table	Elastic Table
Best for	Core business data	Logs & high-volume data
Relationships	Full support	Limited
Business rules	Yes	Limited
Scale	Moderate	Very high
Performance focus	Balanced	Write optimized

Standard tables are built for structured, relational business applications.
Elastic tables are built for scale and ingestion.

Elastic tables are not better.
They are specialized.

Now let’s implement one.

Step-by-Step: How to Create an Elastic Table in Dataverse

Step 1: Open Power Apps

Go to:

https://make.powerapps.com

Select your environment.

Step 2: Go to Solutions

In the left navigation, click: Solutions

Then:

Click New solution (if you don’t already have one)
Or open an existing Unmanaged Solution

Always create tables inside a Solution for proper ALM, version control, and deployment across environments.

Step 3: Create the Elastic Table Inside the Solution

Inside your solution, click: New → Table

Then:

Enter your Table name
Set the Primary column
Expand Advanced properties

Under Table type, select: Elastic

Step 4: Add Columns

After saving:

Go to: Columns → New column

Add fields such as:

API Name (Text)
Status (Choice)
Response Time (Number)
Timestamp (DateTime)
Payload Size (Number)

Step 5: Use It in a Real Scenario

You can:

Create a simple record manually
Show Power Automate writing into the table
Show record count increasing

When Should You Avoid Them?

Do not use Elastic tables for:

Accounts
Contacts
Orders
Relationship-driven apps
Scenarios requiring advanced business logic

If your data model depends heavily on structure and relationships, standard tables remain the right choice.

Final Thoughts

Elastic tables are a powerful addition to Dataverse — but only when used intentionally.

If your challenge is scale, they are worth evaluating.
If your challenge is relational modeling, they are not the solution. The real skill isn’t knowing how to create an Elastic table.

It’s knowing when your architecture truly needs one.