Databricks

Syncari's Databricks Synapse maps lakehouse data into a unified entity model, ensuring analytics and operational records stay consistent and deduplicated across your stack. Automatic schema adaptation keeps your Databricks data accurate and AI-ready as your data platform scales.

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How It Works

Using a unique identifier and optional timestamp column from Databricks tables, Syncari synchronizes data in near real-time into Syncari entities. Syncari supports both incremental (watermarked) and full (non-watermarked) sync modes.

Changes made in Databricks or in other connected systems are automatically processed by Syncari’s data fabric — including conflict resolution, deduplication, enrichment, and cleansing.

Unified, high-quality records can then be pushed back to Databricks for analytics, machine learning, and reporting.

Supported Objects and Workflow

Syncari can synchronize with any Databricks table that includes:

• A primary key
• (Optional) A last-updated timestamp field (for watermark sync)

Data can be pulled from or written to Delta Lake tables, enabling seamless collaboration between Syncari and your AI/analytics workflows. Both full and incremental syncs are supported, depending on your configuration.

Get started with Syncari for Databricks

Try Syncari today or request a custom demo to see how Syncari can simplify data unification and governance for your Lakehouse analytics stack.

What is Continuous Data Quality and how does it support compliance?

Continuous Data Quality means that Syncari’s ADM autonomously maintains data accuracy, integrity, and compliance in real-time. This proactive approach supports ongoing compliance, reduces risk, and minimizes the need for manual data audits.

How does Syncari’s ADM ensure data freshness across systems?

Syncari ADM synchronizes data updates instantly across all connected systems, ensuring data freshness and accuracy. This feature supports real-time decision-making and improves data relevance for both operational and governance needs.

How can teams benefit from Syncari’s automated data remediation?

Syncari ADM autonomously detects and remediates data issues such as duplicates, inaccuracies, and outdated entries, aligning data with governance standards. This reduces manual data management efforts, supports compliance, and provides reliable data for strategic initiatives.

How does Syncari Insights help teams monitor and improve data quality?

Syncari Insights enable teams to see and measure data quality through a unified view of all data, metadata, and datasets as data. This comprehensive tool provides continuous visibility into data health across connected systems, making it easy to identify and address quality issues. With real-time, actionable insights into data integrity and readiness, Syncari Insights empowers governance teams to maintain compliance, ensure data reliability, and drive strategic data initiatives with confidence.