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Kyligence Cloud (KC) is Kyligence’s cloud native intelligent analytics service. Currently, KC can be deployed on Azure and AWS and will support Google Cloud Platform later this year.
Whether your data is stored in cloud storage systems or cloud data warehouses, Kyligence Cloud intelligently identifies the questions analysts will ask and prepares the answers using its unique precomputation technology.
Kyligence Cloud provides unmatched performance and scalability to the most demanding enterprise customers, at a fraction of the Total Cost when compared to other analytics or data warehouse solutions.
Earlier this month, Kyligence released Kyligence Cloud 3.2.
The latest update focused on improving stability and security to offer the most
robust cloud analytics platform.
Following are the key features in KC 3.2:
Kyligence Cloud is built on top of Kyligence Enterprise. In
KC 3.2, we upgraded the core module to the latest KE release, version 4.1.
Compared with earlier versions, KE 4.1 has better performance, is more stable,
and has overall better usability.
KE 4.1 allows for more flexibility when building a pre-aggregate
index. The time ranges of incremental build don’t have to be continuous; this
allows the business to build segments for the time ranges needed more urgently
first. The build tasks can be interrupted or stopped at any time, and restarted
later, to preserve compute and storage resources.
KC also enhanced its storage services to better handle consistency
and reliability issues found in the cloud native storage layer.
For other features in KE, please visit Kyligence.io.
High availability is a must-have requirement for an enterprise-grade platform like Kyligence. Core services need to be able to recover automatically in case of hardware and software failure to avoid system downtime.
In Kyligence Cloud 3.2, KC engine nodes, management nodes, and Zookeeper nodes are critical modules. Users simply need to turn on the “High Availability” switch to make these core modules highly available.
Users can also add more engine nodes to improve the
concurrency of query and build tasks, this further eliminates the bottleneck of
In KC 3.2, we hardened the security by leveraging the native
security features in the cloud.
The first improvement we made was to control external accesses to the platform. By default, we disabled the visiting from public network through IP bindings in the inbound rules of the security group.
Secondly, accessing data sources are now done through VPC terminal nodes with SSL encryption to protect data in motion.
Lastly, we implemented stricter password and encryption policies. Through the unified and multi-layer security measures, Kyligence Cloud can meet the security and compliance requirements and protect the safety of enterprise data assets.
Most enterprise IT departments have their own Identity Management system to centrally manage user authentication and authorization.
In KC 3.2, we added support for integration with third party user authentication systems, such as LDAP, Active Directory, etc., for consolidated authentication services.
Customers can integrate with Azure Active Directory to manage users and implement Single Sign On with other Azure services.
In addition to the enhanced authentication mechanism, the latest version of KC also added more granular user role management and data access control. Different users have different project privileges.
We also simplified the process to set table, row, and column access so that different users can get different views of data.
There are some other new features worth mentioning:
If you want to test drive Kyligence, we have a free environment that is fully hosted and ready to use in 15 minutes, no deployment necessary. Simply fill out a form to get started!
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