Truemag

  • Subscribe
    • New Subscription
    • Account Updates
    • Customer Service
  • News & Events
    • News
    • Events
  • Advertise
    • Media Kit
    • Reprints
    • Contacts
  • Editorial
    • Podcasts
    • Current Articles
    • Digital Editions
    • eNewsletter
    • Editor’s Desk
    • Edit Calendar
    • Contacts
  • Buyers Guide
    • Search
    • Sponsor Index
    • Vendor Update
  • Annual Software Ranking
    • Ranking Form
    • Annual Software Ranking
    • 2018 Software Ranking File Package

Rockset Announces General Availability; Unleashes Power Of Real-Time SQL On Raw Data

4.1.19

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 Query Engine, delivers the performance and scale necessary for real-time operational applications and interactive data science.

This release delivers new functionalities including:

* Continuous schema-less ingest from data lakes, databases and streams including Apache Kafka, Amazon Kinesis, Amazon DynamoDB, Amazon S3 and Google Cloud Storage
* Smart schemas for JSON, XML, CSV, Parquet, Excel and PDF
* SQL, including JOINs, with 1,000+ QPS
* SDKs for Java, Python, Node.js, Golang and REST API
* Delivered as-a-service with self-serve access

DEVELOPER AND DATA SCIENTIST COMMUNITIES EMBRACE ROCKSET
“We need to carefully monitor our growth in real-time. Is a certain product suddenly selling more? Is there a fraudulent transaction? We easily generate 20-30 million events per day, all captured in Kafka streams. Our applications query the data every few seconds. By sending our raw event data directly from Kafka to Rockset, we save a lot of time and energy. We track over 40 metrics in real time and constantly take immediate actions.” -Amboj Goyal, principal engineer at Fynd, a leader in online-to-offline retail with a fashion e-commerce portal that helps millions of customers find fashion from local stores.

“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.” -Alex Izydorczyk, head of data science at Coatue, a technology sector hedge fund — known for its data prowess — that invests in public and private equity markets.

www.rockset.com

Apr 1, 2009Olivia Cahoon
VMware Helps Customers and PartnersNew MapR AI Edge Program
Product Centrics
TrueNAS Open Source Storage Platform brings Full Windows ACL Support to Linux

Fully featured Windows file system ACLs are well supported in TrueNAS 12.0 (CORE and Enterprise), but not generally supported by Linux. Thanks to some innovation, and sweat from the iXsystems engineering team, TrueNAS SCALE 21.08...

Driving Successful Digital Transformation Initiatives in 2022

Well, the end of the year is the perfect time to reflect on all the past year's activities and plan for the coming year. As we plan for 2022, one thing...

Recovery Platforms

Established in 2013, Imanis Data, previously Talena...

Data Driven Efficiency

Founded in 2003, Tableau is a public software company...

Updated Hitachi CRM

Building Product Manufacturers (BPM) require...

Quick Links
Untitled Document
SW500 SW500 SW500 SW500 SW500
2022 © Rockport Custom Publishing, LLC