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 for complex queries

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

Integrates with PostgreSQL, MySQL and MSSQL.

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"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."

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

CTO, Epsagon

How Do 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

For example, receive a change representing a new employee joining the company or a salary change.

Update the results of the query

Apply the changes to the previously calculated results.

Calculate how the changes affect the result

For example, if a new salary of $10K was added, add $10K to the old sum results.

Can Epsio handle complex queries?

Epsio’s incremental materialized views are designed for complex queries and support 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 recalculation is never required.

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.

Incremental Materialized Views

How Do Incremental Materialized Views Work?

Materialized Views vs Incremental Materialized Views

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