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Migrate Your SSAS Cubes to the Cloud Or an On-Premise Data Platform Unprecedented OLAP with No Compromise on Scale and Speed

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Migrate Your SSAS Cubes to the Cloud Or an On-Premise Data Platform Unprecedented OLAP with No Compromise on Scale and Speed SOLUTION BRIEF Migrate your SSAS Cubes to the Cloud or an On-premise Data Platform Unprecedented OLAP with No Compromise on Scale and Speed SSAS OLAP offers a powerful way to aggregate enterprise data, and WHY SHOULD YOU MIGRATE? enable ad-hoc analysis on it. However, it faces several limitations when it encounters massive data. Scalability is a major deterrent as there is a Migrate from SSAS to Kyvos if you limit to the size of data on which SSAS cubes can be built. Besides, with want to: increasing data, the time required to process the cube increases • Build cubes on massive volumes significantly, making it difficult to fit SSAS OLAP in a modern data of data with no limit on size environment. • Store all required information in your cubes and drill-down to Our Smart OLAP™ technology eliminates these limitations, helping you deeper levels of granularity at build aggregates on any size data, while delivering high performance. interactive speeds You can migrate your existing SSAS cubes to Kyvos and scale quickly to • Enable a large number of accommodate your growing data. Built with SSAS backward concurrent users to access the cubes without impacting compatibility in mind, Kyvos enables easy migration. You can work on performance any of the cloud platforms such as Amazon Web Services (AWS), • Leverage modern data platforms Microsoft Azure, Google Cloud Platform or any flavors of Hadoop. You to scale quickly can also build cubes on cloud data warehouses such as Snowflake, Google BigQuery, and Amazon Redshift, as well as other sources like Azure SQL DB and Delta Lake. Smart OLAPTM Faster Builds High Concurrency Granular Access Eliminate limitations of Scalable architecture and Unmatched performance Store hundreds of dimensions traditional OLAP and build advanced algorithms enable even for thousands of and measures in your cubes cubes on trillions of rows quick aggregations concurrent users without compromises FASTEST AND MOST SCALABLE BI Analyze as much data as you need, across hundreds of dimensions and measures. Though both SSAS and Kyvos enable full pre-aggregation, the key differentiator for Kyvos is the scale of data that it can handle. Our Smart OLAPTM technology enables pre-aggregation on trillions of rows of data, and machine learning-powered Smart Recommendation Engine brings the intelligence needed to build smarter aggregates, helping you deal with the scale and complexity of today’s data. 2 SCALE COST-EFFECTIVELY MIGRATE WITH EASE Scale-up quickly and cost-effectively to meet your Simplify migration with our easy-to-use SSAS migration growing business needs. Kyvos scales with your data utility. As the Kyvos cube structure is similar to SSAS, platform, making it easy for you to add compute or one-to-one migrations are relatively easy. You can get storage capacity. If you want to accommodate more started quickly, without disrupting your existing data, add more users, or reduce response times analytical environment. further, all you need to do is to add nodes to your cluster. In comparison, scaling in SSAS, can become cost-prohibitive and limiting after a certain point. USE YOUR FAVORITE BI TOOLS Connect your existing BI tools such as Excel, Looker, MODERN ARCHITECTURE Tableau, MicroStrategy, Business Objects, Cognos, Power BI, and Spotfire, as well as custom BI tools, to Designed for modern data platforms, Kyvos has a Kyvos cubes and perform instant analytics on distributed architecture and supports parallelism massive data. Our built-in MDX and SQL connectors both for cube building as well as for querying. Since enable seamless connections with all BI tools while Kyvos leverages Databricks, AWS EMR, or Google delivering exceptionally high performance. You can DataProc to quickly build cubes on massive data as also use our native visualization tool that provides compared to SSAS, where the cube building times an intuitive drag-and-drop interface for self-service go up considerably as the size of data analysis. increases. It can also support thousands of concurrent users without impacting performance, something that is difficult to achieve in SSAS. SMART OLAPTM TECHNOLOGY ANY DATA SIZE. ANY BI TOOL. INSTANT INSIGHTS. 3 KYVOS - TECHNICAL SPECIFICATIONS Simple and powerful cube design Define relationships between datasets with simple drag and drop designer. Build intelligent aggregates with Machine learning-powered Smart Recommendation Engine. Support for recursive, unbalanced, ragged, and alternate hierarchies, as well as custom rollups. Support for scheduled and automated incremental cube builds. Automated sliding window allows for data truncation as part of the build process. Intelligent resource monitor helps optimize resource usage. Secure framework Support for role, group, and user-based access control. User defined row and column level security for custom business requirements. Integrates with enterprise security systems like Knox, Ranger, and Sentry, as well as custom APIs. Kerberos authentication and support for multiple LDAP accounts. TLS encryption with Mutual Authentication for all internal communication and authentication-related information throughout the cluster. Granular access control at the object level with column and row level security built into system. Integration with enterprise single sign-on tools such as SIteMinder and Okta. Support for all modern data platforms Installs on clusters located in the cloud, on-premise, or in hybrid environments. Native support for all cloud platforms including Amazon Web Services (AWS), Microso Azure, and Google Cloud Platform. Support for cloud data warehouses such as Snowflake, Google BigQuery, and Amazon Redshi, as well as other sources such as Azure SQL DB and Delta Lake. Leverages Databricks, AWS EMR, and Google DataProc for cube building. Support for the latest releases of Cloudera, MapR, as well as Apache Hadoop. Easy to deploy and manage Scheduled up and down-sizing of resources in cloud deployments. No data movement or additional infrastructure costs as Kyvos ieverages cloud storage or on-premise platforms for storing cubes. Automated deployment of the Kyvos BI server and query engines from a single edge node using Kyvos Manager. Built-in monitoring and management of all Kyvos components from a single console. Wizard and template based installation for AWS and Azure. Support for Open APIs MDX, SQL, REST, and Java APIs . Copyright © 2021 Kyvos Insights. All rights reserved. Kyvos logo is the registered trademark of Kyvos Insights, Incorporated. Product names, logos, brands and other trademarks referred to within this document are the the property of their respective trademark holders. 4.
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