New and emerging companies are taking aim at data management challenges to help customers get more value from their data. Here, DBTA showcases the approaches of 10 companies we think are worth watching.
AtomicDB is a provider of associative information technology solutions, that enable integration of existing systems and data into a single platform, and provides dashboards for data visualization and analytics.
Chartio is a provider of cloud business intelligence that connects to popular data sources, allowing users to work with their data in real time, over a web browser, from any location or device.
DataRPM’s Smart Machine Insights platform uses machine learning to automatically perform advanced statistical analysis on top of Hadoop, and, with its natural language question and answer interface, the software allows anyone to talk directly to their data.
H2O (formerly Oxdata)
Targeted at data scientists and application developers that need scalable and fast machine learning, H2O provides an open source predictive analytics platform that combines high performance parallel processing, and ease of use, and speaks the language of data science with support for R, Python, Scala, Java and a REST API.
Offering SaaS business intelligence, Looker puts actionable data in the hands of users that need it through a data-description language called LookML. Looker integrates with Amazon Redshift, Teradata Aster, HP Vertica, Greenplum, Impala, Bigquery and Spark, among others.
Metanautix, a big data analytics company focused on simplifying the data supply chain, provides a data compute engine lets users access and combine any data as a table, regardless of format, includ- ing records, logs, documents, audio, images, and video.
Ryft offers Ryft ONE, a commercial 1U platform that is designed to enable faster business insights by simultaneously analyzing up to 48TB of historical and streaming data at 10GB/second or faster.
TamR aims to enable enterprises to use all of their data for business intelligence and analytics with its data unification platform that catalogs, connects, and curates internal and external data sources, thereby reducing the cost, time and effort of preparing data for analysis.
To solve a universal big data acquisition and integration problem that plagues enterprises, UNIFI provides data integration built natively on Hadoop that is targeted at business users and allows easy pursuit of “what-if ” scenarios by business users.
Enabling automated data discovery for Hadoop, Waterline Data’s mission is to help data engineers and data scientists find the best suited and most trusted data without coding and manual exploration.