New York-based 1010data launched its analytical, private-cloud service way back in 2000, building a base of customers on Wall Street. Marquis customers include NYSE Euronext and a number of big banks, but the company has also branched out into retail, CPG, gaming, healthcare, government, and telecommunications.
1010data's columnar database supports massively parallel processing for scalability, but it's a proprietary design with its own query language that supports a subset of SQL functions plus broader query types including graph and time-series analyses. It also handles semi-structured data such as social network and machine data. Beyond the database, the company offers a complete stack including data integration, reporting, and data-visualization tools, as well as advanced analytic functions including statistical analysis, optimization, and machine learning.
1010data's private-cloud approach relieves customers of the burden of managing and scaling infrastructure. Centralized management and access controls and APIs support integration with back-end systems as well as broad access to information with "HIPAA-grade" security. The company has more than 250 customers. In contrast to a cloud provider such as Amazon, which delivers standardized (very-low-cost) services to tens of thousands of customers, 1010data is a custom services provider that crafts private-cloud applications and capabilities matched to customer needs.
6 Tools to Protect Big DataMost IT teams have their conventional databases covered in terms of security and business continuity. But as we enter the era of big data, Hadoop, and NoSQL, protection schemes need to evolve. In fact, big data could drive the next big security strategy shift.
Big Data Brings Big Security ProblemsWhy should big data be more difficult to secure? In a word, variety. But the business won’t wait to use it to predict customer behavior, find correlations across disparate data sources, predict fraud or financial risk, and more.