Incremental Materialized Views

Epsio’s incremental materialized views update results for queries whenever the underlying data changes, without ever re-calculating the entire dataset.
Instant and up-to-date results Icon

Instant and up-to-date results for complex queries

Supports all major operators Icon

Supports all major operators (JOIN, CTEs, GROUP BY, etc.)

Integrates Icon

Integrates with PostgreSQL, MySQL and MSSQL.

Quotations
"Epsio simplifies hard to keep up-to-date caching solutions & saves a lot of compute cost with a simple materialized query! It scales the compute cost to be proportional to the rate of change of data rather than the volume of data!"

Mahesh Keralapura

Chief Architect, Okta

"I’m so excited about Epsio because their tech allows teams to get exponential improvement for their worst performing queries in an extremely cost efficient way."
Testimonial Image

Asanka Jayasuriya

Former CTO, SailPoint

"Epsio is a game-changer for fast-growing companies. It allows busy developers to focus on shipping value instead of constantly trying to scale and optimize their databases."
Ran Ribenzaft

Ran Ribenzaft

CTO, Epsagon

How Incremental Materialized Views Work?

View Population

Calculate the initial results of a query
For example, calculate the results of a query that sums up all the salaries in a company.

View Maintenance

Receive changes in the underlying data
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In the case above, that could be when a new employee joins the company or a salary changes.
Calculate how the changes effect the result
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For example, add the salary of the new employee to the pre-computed sum.
Update the results of the query
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Apply the changes to the previously calculated results.
Can Epsio handle complex queries?
Epsio’s incremental materialized views are designed for complex queries and supports all major operators (JOIN, CTEs, GROUP BY, etc.)

Materialized Views vs Incremental Materialized Views

Materialized Views
Incremental Materialized Views
Data freshness
Results become stale when the underlying data changes.
Changes to the underlying data are instantly reflected in the results.
Efficiency
Full query recalculation is required to refresh the data.
Full query is never recalculated.
Materialized Views
Incremental Materialized Views
Data freshness
Results become stale when the underlying data changes.
Changes to the underlying data are instantly reflected in the results.
Efficiency
Full query recalculation is required to refresh the data.
Full query is never recalculated.

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