![]() ![]() Plans start with 1 TB of data storage, and fees are based on the number of rows successfully scanned from connected data sources. With the move to BigQuery, Panoply has adjusted its fee structure as well. With BigQuery, Panoply’s customers gain power, scale, and speed, to more easily access critical business insights and maintain their competitive edge.” “In today’s fast-paced business environment, a reliable and agile data platform is essential. Panoply has been a key player in the cloud for years, and now our two organizations can collaborate to accelerate data practitioners’ time to insight,” said Sudhir Hasbe, senior director, product management, Google Cloud. “We are delighted that Panoply is migrating to BigQuery. ![]() ![]() #PANOPLY DATA WAREHOUSE FREE#Users also have access to Google Data Studio, the free interactive dashboard and visualization tool. BigQuery offers excellent data caching to speed up repeated queries and also delivers better performance since there is no limit on the computing power applied, making the solution better suited for large data sets. Users only pay for what they need, and separating the data store from computer processing makes it easier for users to scale as their business grows. In addition to providing customers with ample storage, the move to BigQuery allows Panoply to separate storage and compute, offering the benefit of data scalability to users while using Google Cloud’s data repository. “By moving our data storage services to BigQuery, we can offer Panoply customers a data warehouse platform that offers more capacity, speed, and scalability so their analytics and business intelligence tools can grow with their business.” “BigQuery is gaining popularity because of its power and flexibility,” says Paul Friesen, CEO of Panoply. With the move to BigQuery, every Panoply user receives at least 1 TB of data storage, an unlimited number of data connections, and high-quality customer support from Panoply’s team of data experts. Panoply users can now link data from a variety of sources to any business intelligence tool compatible with BigQuery, including Looker, Tableau, Power BI, and Google Data Studio to simplify analytics and set up or improve their data stack from end to end.Īll Panoply users still have access to the same, easy-to-use data sources, only now they have more data warehouse space and improved ingestion performance with greater cost efficiency. SAN FRANCISCO, J(GLOBE NEWSWIRE) - Panoply, a cloud data platform that makes it easy to sync, store, and access business data, today announced that the company is now hosting its data warehouse services on Google Cloud BigQuery. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |