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Data as a Service (DaaS)

Data as a Service (DaaS)

Data as a Service (DaaS) has become an increasingly critical capability for enterprises, allowing them to expose services for processed multi-source data through standard APIs. However, as enterprises have continued to increase the amount of data that is collected and mined, the need for more information to be exchanged and shared instantly between applications, systems, and organizations has increased substantially. This has raised the market's expectations for DaaS products as businesses look to solutions capable of giving them an edge in today's fast-paced, data-driven environment.

Data-Driven Innovation

 

Data-Driven Innovation

DaaS creates all-around value for enterprises helping them to increase data accessibility, fully explore the potential value held within their data, and uncover the essence of business problems, sharing these insights to various parts of the organization to inform decisions. It also allows enterprises to transform their data into an important business asset with which they can make non-biased strategic decisions and improve the efficiency of their data management. Finally, DaaS makes it possible to integrate data based on an ever-growing list of data sources that facilitates self-service data processing. All of this helps to cultivate a data-driven culture across the enterprise that ensures your business' next move is always the correct one.

High Concurrency and Performance

Kyligence supports access to a diverse set of data sources and connections to business systems that include batch and streaming data sources, the unified management of data catalogs, data quality, data kinship, and data models. It also provides standard APIs and capabilities such as data access control, encryption, and obfuscation. Additionally, Kyligence delivers high performance and high concurrency, as well as concurrent access with low latency. Lastly, it can scale out to adapt to future developments and be deployed on private, public, and hybrid clouds to fit in with a variety of enterprise IT architectures.

High Concurrency and Performance

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Kyligence supports access to diverse data sources such as business systems, batch and streaming data sources, and centrally manages data catalogs, data quality, data kinship, and data models. It provides standard APIs and capabilities such as data access control, encryption, and obfuscation. Kyligence features high performance and high concurrency and can serve concurrent access with low latency. Also, it can scale out to adapt to future development and be deployed on private, public, and hybrid clouds to fit in different enterprise IT architecture.

Standardized Data Development Process

Based on the dimensional modeling theory behind traditional data warehouses, Kyligence combines this foundation with a modern graphical operation interface making it easy to learn and use.

AI-Augmented Modeling

Kyligence's AI-augmented engine can automatically analyze user query patterns and generate data models without manual intervention.

Automated Data Processing

Kyligence can automatically generate distributed Spark tasks based on a given data model and process that data without manual intervention.

Unified Security Management

Kyligence delivers multi-level security management and can integrate with LDAP, SSO, OAuth 2, AAD, and other permissions to meet the complex security requirements of your enterprise.

Standard Data Service APIs

Kyligence supports JDBC, ODBC, and RESTful APIs and uses ANSI-SQL as its query language. It can also connect to a wide variety of popular tools and platforms.

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