Periscope Data Introduces Data Engine Leveraging Amazon Redshift

The new solution provides customers the flexibility to use the right analytical infrastructure for different workloads

Periscope Data, the world’s leading analytics platform for data professionals, has introduced its new Data Engine solution, powered by Amazon Web Services (AWS). Data Engine enables data-driven companies with complex pipelines or expanding data needs the flexibility to use Amazon Redshift alongside other analytical infrastructure for faster queries for analysis and data ingestion at any scale.  

Customers want to find the quickest path from data to insights – however, as data volumes scale, they are often challenged to choose the warehouse solutions that best fit their needs. Data teams with a wide range of use cases are often forced to compromise on query performance for certain specialized use cases or are saddled with the burden of managing several internal tech stacks.

By routing queries to the best-equipped analytical infrastructure, Data Engine ensures maximum scalability for cross-functional teams while still creating a single source of truth for all users in the company. The latest analytics warehouse integration from Periscope Data helps address that predicament directly and will help data teams achieve faster query performance and data ingestion at scale for any kind of workload, regardless of concurrency, data volume or query complexity. Periscope’s Data Engine gives users the flexibility to efficiently ingest and process data on Amazon Redshift and other infrastructure depending on their workloads.

“Our customers need the flexibility to ingest, process and analyze data in the fastest, most efficient way possible,” said Tom O’Neill, CTO and co-founder of Periscope Data. “We want to expose new customers to the specialized benefits that Amazon Redshift provides for different use cases, and Data Engine makes that much easier.”

“AWS customers like the ability to store their data in open formats such as Parquet and ORC in their data lake and analyze it in-place with Amazon Redshift without needing it to be loaded. This gives customers the flexibility to use the analytical infrastructure that best suits different use cases,” said Anurag Gupta, vice president, analytics, Aurora and RDS at AWS. “Data Engine extends that flexibility for AWS customers, especially those who are using technologies from other vendors and are unable to switch to Amazon Redshift for all of their analytics workloads.”

“Our Redshift usage through Periscope’s data warehouse feature has been great,” said Joshua David, data analyst at Litmus. “We are able to consolidate our internal data sources in one place using Periscope Data, write queries and views using a unified Redshift syntax and cache data sources to allow quicker access to data and efficiently refresh our dashboards.”

"Periscope Data has proven to be the simplest dashboard system for us to integrate with Amazon Redshift," said Thomas Kirschenmann, Ph.D., product analyst at Everi. "We're excited that technology advances like Data Engine will continue providing us with an even simpler data workflow."

Periscope Data has become one of the leading analytics platforms by enabling data teams to ingest, store, analyze, visualize and report on data. Today, Periscope Data customers are leveraging Amazon Redshift to run millions of queries and create thousands of new charts each day to power their businesses.

With future advancements of the project slated to be released in the coming months, Periscope Data will add a series of other data storage and processing options to ensure the best technology is available to every data team, for any given workload. Data Engine is now available by request for Periscope Data customers.

Source: Periscope Data media announcement