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Rockset Announces General Availability; Unleashes Power Of Real-Time SQL On Raw DataSAN MATEO, Calif., March 19, 2019 (GLOBE NEWSWIRE) -- Rockset, the serverless search and analytics company, today announced general availability of the industry's first cloud service that allows developers and data scientists to put complex data sets to use in minutes instead of weeks. Current trends in technology -- smart devices, digital lending, fraud detection, omni-channel retail, machine learning, microservices and real-time business dashboards -- all require clean data from a multitude of sources. However, businesses are struggling with tons of high-value, low-quality data in fragmented systems like data lakes, NoSQL databases and data streams. Increasingly, data comes from many different sources and tends to be machine data in JSON, CSV, XML and Parquet formats or business data like XLSX and PDF. Rockset empowers teams to serve data-intensive applications using a wide range of data formats from multiple sources, without having to model schemas or manage fragile extract-transform-load (ETL) pipelines. “Modern data sets are messy and unstructured. Traditional data management systems force teams to spend more than 50 percent of their time just preparing and loading these data sets,” said Venkat Venkataramani, co-founder and CEO of Rockset. “What's the point of collecting new data if you cannot use it immediately and iterate quickly? Rockset has reimagined the stack in a new developer-friendly way, with fast SQL on raw data -- so you can go from data to applications in a few minutes.” Rockset is the industry's first serverless data backend that continuously ingests raw data as it is generated and delivers real-time SQL queries at scale. Its patent-pending Converged Indexing™, which combines an inverted index, columnar index and document index, is optimized for key-value, time-series, document, search, aggregation and graph type queries out of the box. It is backed by RocksDB, which combined with its Cloud Native Distributed Quer Engine, delivers the performance and scale necessary for real-time operational applications and interactive data science. This release delivers new functionalities including:
Developer and Data Scientist Communities Embrace Rockset “We receive data from many different sources in many different formats - each with different delimiters, headers and escape characters. It is time consuming to load the data to multiple systems, individually infer the schema and handle malformed data. We also deal with constantly changing schemas as new versions of the data are received. Rockset has the potential to free our data scientists to run ad-hoc SQL queries on raw data while minimizing ETL work and maintenance.” General Availability About Rockset Media Contact |