Xcalar, a San Jose, CA-based big data startup, raised $21M in Series A funding.
The round was led by Khosla Ventures with participation from Andy Bechtolsheim and Diane Greene, and Merus Capital.
Co-founded by former Oracle technologist Vikram Joshi, and Rebecca Ye, an early founder of Google Cloud Platform and previously an Oracle sales exec, Xcalar
also announced availability of its business analytics platform, Xcalar 1.2, which gives access to actionable insights from big data.
Key benefits of Xcalar 1.2 include:
– User-friendly UI/UX that does not require programing skills to design models, create queries, synthesize schemas, build regression analysis algorithms, and even design new Machine Learning algorithms
– Scale-out to hundreds of nodes, thousands of users, and petabytes of data
– Point-and-click access to directly read all data types (semi-structured, unstructured, and structured) stored in the cloud or on-prem (Amazon S3, Microsoft Azure Storage, Google Cloud Storage, HDFS, SAN, NAS, NFS, or local file systems)
– On-prem or in the cloud deployment
– Integration with visualization tools such as Tableau, Microsoft Power BI, Looker, Domo, Qlik, and a variety of reporting tools
– Ability to work with thousands of filter, aggregate, sort, map, join, group-by, merge, union, correlation, and complex relational, statistical and ML operations, in series or parallel, to solve deep analytics problems
– Detailed dataflow graphs to track data lineage of any given field from its source so audit requirements and regulatory compliance are easily met
The company, which has secured over $21m in total venture capital funding, has partnerships with Microsoft, Google, Tableau, Confluent, and MapR, and is currently working on deployments and pre-production pilots with about a dozen Fortune 100 companies as well as the government.