In October of 2014 ThoughtSpot, Inc. introduced ThoughtSpot Relational Search Appliance. This ENTERPRISE MANAGEMENT ASSOCIATES ® (EMA™) impact brief details the announcement and recognizes ThoughtSpot’s leadership in the Business Intelligence (BI) platform space for search-based use cases.
On October 21, 2014, ThoughtSpot ( http://thoughtspot.com/ ) announced the release of ThoughtSpot Relational Search Appliance, a product that offers relational searching for enterprise-scale data analysis. ThoughtSpot provides a search-based business intelligence platform built on an in-memory database that is combined with a relational search engine. ThoughtSpot search facilities utilize technologies similar to those used in web searches on Google and Facebook. ThoughtSpot Relational Search Appliance is targeted towards midsized to large enterprises.
Founded in 2012 and based in Palo Alto, California, ThoughtSpot is a privately-held company whose goal is to solve the “last mile” problem for business data in enterprises. ThoughtSpot’s founders have built market-defining search and analytics technologies at companies such as Google, Amazon, Oracle, Nutanix and Microsoft. ThoughtSpot has raised $40.7 million in funding from Lightspeed Venture Partners, Khosla Ventures and top-tier angel investors.
ThoughtSpot is designed to satisfy previously unmet needs associated with currently-available business intelligence toolsets, with a focus on providing a consumer-grade user experience. ThoughtSpot integrates data visualization and enterprise search capabilities into a single platform for data discovery use cases. Taking information from cloud, on-premises data centers and other local data sources, ThoughtSpot creates a single interface to locate and analyze information.
ThoughtSpot provides a suggested methodology to size and deploy its appliance that does not require experience in balancing in-memory and traditional data management facilities. Implementation teams can focus on business challenges rather than installation specification and configuration. The appliance architecture also provides the ability to set data access privileges per user and analyze a few gigabytes to several terabytes of information as data loads grow.
Data consumers have become accustomed to accessing data at the speed of Google, and traditional business intelligence tools cannot provide analytics at that pace. ThoughtSpot offers marketing, human resources, finance and other line of business analysts the ability to explore business data at online application speeds. This enables the analytical process and allows analysts to explore faster and deeper than they could otherwise.
In addition to an easy-to-use, browser-based interface, custom-built ThoughtSpot software includes three additional components. The ThoughtSpot Relational Search Engine understands relationships across disparate enterprise data sources and returns instant results from billions of rows of data. Because existing technologies are based on a text-based/web search and not a schema-based search, the company built its search engine from scratch. ThoughtSpot In-Memory Relational Data Cache is a relational engine that can cache data from data warehouses, cloud applications, spreadsheets and Hadoop clusters and run in memory computations on large data volumes.The data cache follows a distributed computing model and can grow incrementally as data volumes grow. ThoughtSpot Cluster Management provides a framework that provides enterprise-class fault tolerance, manageability and monitoring capabilities to the ThoughtSpot appliance.
ThoughtSpot Relational Search Appliance is designed to ensure high performance, rapid deployment, and ease of administration. Each 2U rack unit block consists of four nodes, and four TB of data in-memory (4x compression). The appliance can be situated close to enterprise data sources and is incrementally scalable.
IT departments load the ThoughtSpot system with data from on-premise and cloud sources and set up user accounts. ThoughtSpot then enables analysts to explore the data quickly through its simple-to-use interface. Near real-time search ability is provided through the use of in-memory database technology and creation of complex SQL in the background. Exploiting the advances in the utilization of available CPU and multiple levels of memory caches, ThoughtSpot supports the analytical process with low latency query results.
ThoughtSpot aspires to create a new category in the business intelligence space with its integrated, search-based, business intelligence platform. The methodology chosen by ThoughtSpot capitalizes on the experience of data consumers’ interactions with web and social platforms such as Google and Facebook to enhance their BI experiences. Linking search query technologies, enterprise-sized datasets, and performance consistent with that of the Google search bar, ThoughtSpot makes the analytical process faster as compared with existing business intelligence solutions that employ traditional query and presentation techniques. EMA acknowledges ThoughtSpot as a leader in the business intelligence platform space due to its novel approach to searches and innovative product features.
Founded in 1996, Enterprise Management Associates (EMA) is a leading industry analyst firm that provides deep insight across the full spectrum of IT and data management technologies. EMA analysts leverage a unique combination of practical experience, insight into industry best practices, and in-depth knowledge of current and planned vendor solutions to help EMA’s clients achieve their goals. Learn more about EMA research, analysis, and consulting services for enterprise line of business users, IT professionals and IT vendors at www.enterprisemanagement.com or blogs.enterprisemanagement.com.