Set Your Data Free with Dremio

Dremio is a data lake engine that simplifies data access and accelerates query performance. It enables organizations to query large datasets directly from data lakes, providing fast insights without the need for data movement.

Unlock the full potential of your data and cut costs with
Dremio’s next-generation data lake engine

Dremio automates your data lake storage, speeding analytics processes and democratizing
data access for data scientists and analysts. Enjoy fast, easy analytics at the lowest cost per query.

SIT is the only authorized distributor and implementer of Dremio in Israel 

Join our partners and clients in taking control of your data operations costs with Dremio—an effective and powerful data management solution that delivers results.

Ask Yourself

Why Choose SIT for Dremio?

SIT supports the deployment of Dremio, optimizing your data architecture for rapid insights. Our experts provide guidance on integrating Dremio into your existing infrastructure, ensuring you gain the most value from your data assets.

Accelerate Time to Insight:

SIT integrates Dremio’s secure, self-service data access to boost your analytics speed and efficiency, ensuring you gain insights faster.

Transform Data Architecture:

With SIT’s expertise, break free from traditional constraints by leveraging Dremio to separate data from compute, optimizing your analytics architecture.

Lightning Fast Performance:

SIT configures Dremio to enhance ad hoc and BI query performance, eliminating unnecessary data processes for swift results.

Increased Productivity:

Our team ensures seamless dataset provisioning, empowering your analysts to create insights without data duplication.

Cost Efficiency:

SIT helps you optimize compute resources, significantly reducing costs by aligning Dremio’s capabilities with your specific workload needs.

Let's collaborate

For more information or to schedule a demo, please contact our team.

Knowledge Center

Manufacturers across Israel are asking the same question this year: Where does AI fit into our operations? Fewer have stopped to ask whether the business is actually ready to run it. Readiness is not ambition, and it is not budget. It is a specific, assessable state of your data environment, and getting there is a process with a clear starting point, not a purchase decision.
If your organization is still running Tableau On-Premise, you might be feeling the friction. Maintaining local servers, managing version upgrades, and ensuring security in a volatile environment is becoming a heavy lift.
How Data Lakehouse Architecture Solves the Analytics Bottleneck The modern approach separates the operational layer from the analytical layer. The ERP handles transactions. A dedicated data infrastructure — built on technologies like Dremio and Snowflake

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