MicroStrategy vs Tableau
Last updated: August 09, 2017
MicroStrategy is a leading global provider of enterprise software platforms for business intelligence (BI), mobile intelligence, and network applications. The best business decisions are driven by data. World class organizations operationalize business intelligence and embed analytics in their DNA. MicroStrategy supports a full range of analytic functionality, from stunning business dashboards to sophisticated statistical analysis and data mining. Our platform gives you the flexibility to start small and seamlessly scale to an enterprise deployment.
Tableau complements your natural ability to understand data visually. Our breakthrough products let you create rich analyses and share your insights with colleagues in seconds. Connect and visualize your data in minutes. Tableau is 10 to 100x faster than existing solutions. From spreadsheets to databases to Hadoop to cloud services, explore any data with Tableau.
Latest news about MicroStrategy and Tableau:
09.08.17. Tableau acquired natural language processing startup ClearGraph. Business intelligence solution provider Tableau has acquired ClearGraph, a service that lets you query and visualize large amounts of business date through natural language queries. Tableau expects to integrate this technology with its own products as it looks to make it easier for its users to use similar queries to visualize their data. Recent advances in natural language processing and machine learning now allow ClearGraph and alternative services to understand more about the underlying database and then take these sentences and essentially translate them into database queries. Given that Microsoft’s Power BI and other competitors already offer this capability, it’s no surprise that Tableau is also looking into this.
10.11.16. Tableau to launch visual data-prep software with deep learning. Tableau is moving into the data-wrangling business, announcing plans for visual data-preparation software code-named Project Maestro. The idea is to bring the same sort of "self-service" visualization to the prepping and cleaning of data as they've built for data analysis. Besides the company is going to implement Natural Language Processing (NLP) to bring new ways to interact with data through human language such as voice and text and Tableau Machine Algorithms which will surface recommendations for workbooks and data sources that are trusted, highly used and contextually relevant to individual workflows. The software is expected to be available "later next year."
14.03.16. Tableau acquired German startup HyPer. BI giant Tableau has acquired HyPer, an early-stage German startup that has developed an advanced database technology. Tableau intends to incorporate the technology into its product set. Tableau is a business intelligence and analytics company, taking business data and helping companies make sense of it. The new HyPer database technology should provide a performance boost across Tableau products. Among the capabilities HyPer brings to Tableau include faster data analysis, regardless of the size of the data set; unifying the transactional and analysis systems (presumably to speed up those processes); richer analytics capabilities and support for structured or semi-structured data, which is increasingly important when processing Big Data sets.
06.11.14. Data Analytics service Tableau hits $100M per quarter revenue mark. Data analysis and visualization company Tableau continues to grow at a fast pace, hitting the $100 million mark for the first time in the third quarter. Tableau is often viewed as the posterchild for next-generation analytics software and continues to add customers at a rapid pace. Despite its fast growth and innovative spirit relative to the legacy business intelligence and analytics business, though, there are lots of startups — and, now, even Salesforce.com — gunning to chip away at its growing marketshare. They have seen what Tableau did right in making data analysis a visual experience doable even by non-analysts, and are trying to make products that are bigger, faster, easier and/or cheaper. However, Tableau has lots of room to grow and the money to do it. The company claims to be investing more money than ever into research and development — and even has a dedicated R&D team — and in September showed off an early version of a new mobile product it’s calling Project Elastic.