Periscope Data Tackles Query and Data Ingestion with New Data Engine
Periscope Data has released a new Data Engine that will help data teams achieve faster query performance and data ingestion for any kind of workload, regardless of concurrency, data volume or query complexity. Data Engine by Periscope Data enables users to bypass tedious steps in the ETL process in an attempt to optimize workflows.
Periscope Data’s Unified Data Platform offers users the ability to do complex analysis with SQL, Python and R in one place. The company touts more than 1,000 customers around the globe and is backed by more than $34 million in venture capital. Periscope Data was founded in 2012 in San Francisco.
The Periscope Data Engine enables the Periscope product to route intensive queries to the best-equipped data warehouses to ensure scalability for cross-functional teams while creating a single source for all users.
In a statement to Solutions Review, the company’s Chief of Technology Tom O’Neill said: “To be truly data-driven, companies really have to maximize efficiency when it comes to turning data into action. Today’s enterprises know the potential outcomes can be transformative for their business, but they are often restricted by the limitations of working with one warehouse that doesn’t meet every one of their needs. Data Engine solves for one of biggest challenges they face in this process by ensuring they can use the right technology to tackle each data analysis workflow they encounter.”
Future advancements of this project will be released in the months ahead, including a series of data storage and processing options to ensure that a wide range of technologies are available for a variety of workloads. Check out these videos to learn more about the project’s mission.
This announcement comes on the heels of Periscope’s Spring 2018 update featuring enhanced data discovery functionality. The Periscope Data Platform now provides individual business users with direct access to current data sets, curated by their data analysts and data scientists and customized by line of business.