WibiData, Inc. operates a platform for data storage, serving, and analysis. It offers graphical tools to export the data from its distributed data repository into relational database. The company also provides schemas, real-time data retrieval, and analyst tools; and WibiEnterprise, an enterprise software platform for developing and deploying real-time big data applications. WibiData, Inc. was formerly known as Odiago Inc. and changed its name in 2012. The company was founded in 2010 and is based in San Francisco, California.
375 Alabama Street
San Francisco, CA 94110
Founded in 2010
WibiData Launches WibiEnterprise 3.0 to Power Real-Time Big Data Consumer Applications
Nov 25 13
WibiData announced the launch of WibiEnterprise 3.0, an enterprise software platform for developing and deploying real-time Big Data Applications. WibiEnterprise 3.0 bridges the gap between Hadoop and the application layer, empowering companies to connect consumer applications with sophisticated real-time, data-driven features like personalized content, predictive recommendations, dynamic micro-segmentation, personally relevant search results and anomaly detection. WibiEnterprise 3.0 is based on company's Kiji Project, an open source framework for building Big Data Applications, and is used in production by some SaaS, retail and financial services companies. Kiji was conceived to directly address a common and growing problem: companies have invested heavily in capturing and storing their customer data, typically using a combination of products and services in the Hadoop and HBase ecosystems, but are falling short in utilizing their data and putting insight to use in the form of real-time, revenue-generating, dynamic applications. As a result, many companies are not yet seeing any return on their big data infrastructure investments. Sophisticated data modeling and in-application analytics often requires coordinating a complex integration of advanced data science, developer tools and corresponding talent. WibiEnterprise 3.0 simplifies this process by allowing data scientists to explore data, develop and train models, and deploy the best models to production where they are scored on the fly, delivering real-time, individualized and contextually relevant experiences across application channels. Application developers can use WibiEnterprise 3.0 to easily record information in real-time for use in dynamically updated predictive models, and deliver results to front-end applications, whether on the web, mobile devices, or other digital channels. WibiEnterprise 3.0 gives companies the ability to collaborate across functions, experiment with the best analytical models and create better application experiences by reducing friction in sales and servicing across application channels. The core features of WibiEnterprise 3.0 are: Schema Management: a framework for defining tables and datasets that allows for consistent evolution over time without downtime. Batch Processing: a framework for bulk imports, complex analysis tasks and other MapReduce jobs. Machine Learning Model Lifecycle: a framework for authoring machine learning models, batch model training, model deployment and real-time model scoring. Data Exploration: a framework for ad hoc query and analysis of application customer data. Application Integration: a framework for integrating with other applications through RESTful interfaces for reads, writes and predictive model scoring.
Ross Fubini Joins WibiData Board
May 23 13
WibiData announced it has raised $15 million in a Series B funding round led by Canaan Partners with participation from existing investors like NEA and Google Chairman Eric Schmidt. In connection with this investment, Canaan Partners' Ross Fubini has joined the WibiData board.