PowerOLAP vs. SQL Server Comparison


PowerOLAP PARIS Technologies International	SQL Server Microsoft	+	+
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About Tap into timely and accurate data available across your organization, synchronized and delivered in real-time to the right people. Access through Excel, live information from your organization’s data sources, which have been connected through PowerOLAP’s in-memory database. Significantly reduce current reporting time and effort, and see dramatic increases in staff productivity. Enable faster budgeting cycles, dynamic report building, and advanced analytics through “multidimensional” views of your company’s business structure and performance. Ability to unite disparate systems for aggregated data from all key sources. Agility to collaborate team-wide on updated data and analytics with a simple refresh. Power and business intelligence analytics to make data-informed decisions.	About Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Business Intelligence software for companies	Audience Any business and organization seeking a solution to manage their cloud operations
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing Free Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 4.5 / 5 ease 4.5 / 5 features 4.5 / 5 design 5.0 / 5 support 4.5 / 5 Read all reviews
	Pros & Cons from Real Users Pros SQL server offers enough security to be able to perform reliable transactions, where you can work with all kinds of procedures previously saved for SQL. In terms of relational databases, SQL server allows the inclusion of relational data licenses within multidimensional groups, which at the level of analysis makes things much easier. Recommended because you can work with up to 6 different types of licenses, so the number of clients that can be added to the platform is huge depending on the size of the company. For example, the Enterprise plan is usually around 25,000, but offers a very large number of servers to work with. The interoperability that Microsoft SQL server brings serves to create a complete network in which databases are properly secured and at the same time can be edited by specific employees. Microsoft SQL server provides the user with the possibility of transporting large amounts of data of different types through the cloud. Our professional recommendation is that, if you choose to work with Microsoft SQL server, you should purchase the standard version, since it has all the features of software such as MySQL and Sybase ASE in terms of support for procedures and work in server mode, which would be enough to obtain promising results. Cons When working with pages simultaneously, there is a limit on the number of connections that can be carried out, and it has many restrictions that end up affecting the page editing level. For example, the size of the pages is impossible to edit, which leads to a somewhat poor view of the page in terms of size (it looks very small), as well as remaining static. The Microsoft SQL server platform does not support the ability to manage Canvas scripts directly from the development data lists being used (specifically HTML) so adding Canvas code to that language is useless if the content is to be transported through Microsoft SQL server. The variety of DDL commands that Microsoft SQL server allows to implement is a bit small, which ends up limiting the work to only using DML commands.
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information PARIS Technologies International United States paristech.com	Company Information Microsoft Founded: 1975 United States www.microsoft.com/en-us/sql-server/
Alternatives Apache Ignite	Alternatives Teradata VantageCloud Teradata
Hazelcast	Amazon Aurora Amazon
Exasol	Apache HBase The Apache Software Foundation
Amazon ElastiCache Amazon	SingleStore
Oracle TimesTen Oracle View All	RaimaDB Raima View All
Categories Business Intelligence In-Memory Databases	Categories Business Intelligence Database Database Management Systems (DBMS) In-Memory Databases Relational Database SQL Databases SQL Server
Business Intelligence Features Ad Hoc Reports Benchmarking Budgeting & Forecasting Dashboard Data Analysis Key Performance Indicators Natural Language Generation (NLG) Performance Metrics Predictive Analytics Profitability Analysis Strategic Planning Trend / Problem Indicators Visual Analytics	Business Intelligence Features Ad Hoc Reports Benchmarking Budgeting & Forecasting Dashboard Data Analysis Key Performance Indicators Natural Language Generation (NLG) Performance Metrics Predictive Analytics Profitability Analysis Strategic Planning Trend / Problem Indicators Visual Analytics Show More Features Database Features Backup and Recovery Creation / Development Data Migration Data Replication Data Search Data Security Database Conversion Mobile Access Monitoring NOSQL Performance Analysis Queries Relational Interface Virtualization Relational Database Features ACID Compliance Data Failure Recovery Multi-Platform Referential Integrity SQL DDL Support SQL DML Support System Catalog Unicode Support SQL Server Features CPU Monitoring Credential Management Database Servers Deployment Testing Docker Compatible Containers Event Logs History Tracking Patch Management Scheduling Supports Database Clones User Activity Monitoring Virtual Machine Monitoring
Integrations Alliance Key Manager Cleo Integration Cloud Five Kernel for SQL Database Recovery LightBeam.ai Luna Modeler Membership Tracking Program (MTP) Meroxa Nucleus PI.EXCHANGE ProxySQL RadSystems Rapid SQL Studio 3T TeamDynamix iPaaS Web APIs by Melissa Weld ZeroBounce dbForge Monitor dbForge Schema Compare for SQL Server Show More Integrations	Integrations Alliance Key Manager Cleo Integration Cloud Five Kernel for SQL Database Recovery LightBeam.ai Luna Modeler Membership Tracking Program (MTP) Meroxa Nucleus PI.EXCHANGE ProxySQL RadSystems Rapid SQL Studio 3T TeamDynamix iPaaS Web APIs by Melissa Weld ZeroBounce dbForge Monitor dbForge Schema Compare for SQL Server Show More Integrations View All 879 Integrations
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