NOW LIVE: Sisense 7.4

Scale and Grow your Sisense Deployment with Greater Ease

Formalized deployment processes for multi-server deployment models

Formalized deployment processes for multi-server deployment models

Multi-server deployment model tool that spans best fit for scale, security, High Availability, server redundancy, fail-safes and load balancing for server reliability
Simplified deployment of the cluster using the multi-server deployment application
Available for download from the Sisense documentation site. See here for more information

Mashup data from key cloud-native, high-performance data warehouses

Mashup data from key cloud-native, high-performance data warehouses

Connect directly with a ‘Live’ connector to power dashboards from SingleStore to run queries in real-time
Easily connect and mashup disparate data with Sisense ElastiCubes which are optimized for performance, scale and ease-of-use

Mashup data from key cloud-native, high-performance data warehouses

Mashup data from key cloud-native, high-performance data warehouses

Connect directly with a ‘Live’ connector to power dashboards from BigQuery to run queries in real-time
Easily connect and mashup disparate data with Sisense ElastiCubes which are optimized for performance, scale and ease-of-use
Unique capabilities of supporting nested columns and partitions found in Google BigQuery using the ElastiCube Data Connector

More options to easily extend data security governance

More options to easily extend data security governance

Create row-based security definitions using exclusionary rules, in addition to inclusionary rules
For example: Suppose a support team member should see all clients in a certain region except customers A,B,C. Only the CEO and the Support Manager can see these specific customers. This can now be achieved using our API

Simplify the day-to-day management of dashboards

Simplify the day-to-day management of dashboards

Designers can now search for dashboards not just by name, owner or data source, but by which ones have been shared with other users

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