A few weeks ago, I wrote an article about Dataverse storage, which you can find here

Dataverse Storage – BEYOND THE PLATFORMS

Today I want to tackle another very important topic, namely the indexing of one or more Dataverse tables to make data grounding more efficient.

All systems and solutions worldwide suffer from data growth, which sometimes brings end users to a standstill, preventing them from working.

Problem and Solution

Sometimes the real problem isn’t the model itself, but rather the search for data!

With Dataverse, there’s no need to rebuild your entire system or data infrastructure and related functions. In fact, there is Dataverse Search indexing.

We know very well that reading speed on unique key fields returns significantly faster results; starting from this concept, we can think about extending this optimisation to other fields and tables.

A step back – Query optimisation

There is always a mandatory step when dealing with a significant amount of data: query optimisation.

• Query analysis
• Checking for bottlenecks
• Query optimisation and reengineering
• Final verification

I have often found this approach to be decisive, but if this still does not bring benefits, then we should move towards Dataverse Search indexing.

How to activate it (step by step)

1 Activate Dataverse Search 🎯

Turn on Dataverse advanced search and let the system do the rest. Indexing starts automatically, with no scripts or complicated configuration. One switch, a completely different user experience.

2 Choose the tables that really matter 🔎

Focus on what users interact with every day: Accounts, Contacts, Cases, Leads, and the custom entities that drive your core processes. Less “noise”, more useful results.

3 Index only what’s needed 👌🏾

Focus on high-impact fields: names, emails, phone numbers, customer codes. A lean index is a fast index. Leave everything else out so as not to slow down the search.

4 Observe the immediate effect 📈

Once indexing is completed, the difference is immediately noticeable.

What it actually does

• Eliminates costly table scans: the system goes straight to indexed results – this alone can greatly reduce search time.
• The search load is moved away from main transactions: Search operations run on indices rather than on live tables – your database remains stable.
• High-volume tables see immediate gains – stable search performance, with no slowdowns.

Advantages

When you enable Dataverse Search, the platform automatically creates search indices.

These indices exist alongside the storage managed by Dataverse and allow the system to:

• Perform high-speed searches
• Avoid scanning entire tables
• Return results consistently, even on a large scale

Once indexing is enabled, the impact is immediate:

• Quick Find views respond instantly
• “Find by” searches are executed much more quickly
• High-volume entities benefit across the board

This is not just a cosmetic improvement; It’s a structural change in performance.

Boom, done 💣!

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