Unified Data Services

Unified query interface for the enterprise shielding the technical details of different data sources

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Why Use Unified Data Services?

Why Use Unified Data Services?

In the era of cloud computing, data is distributed across multiple clouds or platforms and cannot be centrally stored due to geography or compliance requirements. Traditional data warehouse construction models need to transition from "collect" to "connect", ensuring enterprises have a unified data service layer with multiple data sources connected within the business.

Intelligently Manage the Most Valuable Data Using Unified Data Services

Intelligently Manage the Most Valuable Data Using Unified Data Services

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The Kyligence platform supports the integration of multiple data sources. You can connect different data sources to the platform and expose a unified query interface using Kyligence, which shields the technical details of different data sources.


Kyligence's Smart Pushdown™ Query Routing Engine allows users to query specified data sources and provides enterprises with unified data services and management.


It also provides a consistent business semantic layer and data specifications for enterprises.

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How to Implement Unified Data Services

How to Implement Unified Data Services

Enterprises can also use Kyligence as a unified data service layer. The Smart Pushdown™ feature enables Kyligence to push down queries not supported by cube pre-computation and indexing to other SQL engines. The system provides a built-in Spark SQL-based query pushdown engine to support queries on Hive or object storage data sources. Enterprises can connect to more data sources by extending the data source SDK. Kyligence supports high-performance sub-second-level aggregate queries and allows for flexible exploratory analysis.

How to Connect to Multiple Data Sources

How to Connect to Multiple Data Sources

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Kyligence's built-in JDBC-based SDK enables end-to-end development, testing tools, and certification.


Kyligence's customers have developed connectors for data sources such as Impala, Oracle, Greenplum, GBase, MySQL, and cloud-based data sources such as Snowflake and Azure Synapse, helping enterprises directly access multi-source data.

 

All data source adapters have undergone rigorous automated testing to ensure good performance and functionality. With these adapters, users can access new data sources and develop data analytics applications quickly and locally.

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