HUGE NEWS: Imply Announces the Availability of Imply Polaris, a Database-as-a-Service Built from Apache Druid, on Microsoft Azure https://bit.ly/45JT80o
Imply
Software Development
Burlingame, California 14,603 followers
The Database for Modern Analytics Applications – From the original creators of Apache Druid®
About us
At Imply, we are on a mission to help developers become the new heroes of analytics. Our unique database, built from Apache Druid, enables them to develop the next generation of analytics applications. With Imply, developers can build without constraints as our database lets them create interactive data experiences on streaming and batch data with limitless scale and at the best economics. Backed by leading investors including a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory - disrupting the $100B database market - with customers including Twitter, Salesforce, Atlassian, Reddit, and Intercontinental Exchange. To learn more, please visit: https://imply.io/. --- Attention: Imply Applicants Due to reports of phishing, we’re requesting that all Imply applicants apply through our official Careers page at imply.io/careers. All official communication from Imply will come from email addresses ending with @imply.io.
- Website
-
https://imply.io/
External link for Imply
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Burlingame, California
- Type
- Privately Held
- Specialties
- Druid, Data Applications, Big Data, Analytics Applications, data analytics, Analytics database, modern analytics, and analytics in motion
Locations
-
Primary
Get directions
1633 Old Bayshore Hwy
Burlingame, California 94010, US
Employees at Imply
Updates
-
"How to Execute Window Functions on Sketches," by Senthil Vallinayagam https://bit.ly/3UzuJX3
-
-
#DruidSummit is back and in person for the first time! Want to speak? https://bit.ly/45Qh4iv
-
-
An upsert is a database operation that will update an existing row if a specified value already exists in a table, or insert a new row if the specified value doesn’t already exist. Upserts are particularly useful for two key reasons: 1. Data Consistency. Upserts ensure that data remains consistent by either updating existing records or adding new ones. 2. Efficiency. Upserts combine the insert and update operations into a single action, reducing the number of database queries and improving performance. Our new blog discusses how we support upserts in Imply Polaris for a variety of use cases: https://bit.ly/3LhQZ2A
Using Upserts in Imply Polaris
imply.io
-
The milestone we're celebrating this week is a recent one, from the same week as our 9th birthday. In June of this year, Imply officially went multi-cloud when we brought real-time analytics to Microsoft Azure. Our mission is to empower developers and organizations to harness the power of real-time data. With Polaris on Azure, we meet our customers where their data resides, on their preferred cloud platform. This integration is a crucial part of our commitment to providing flexibility and support for multi- and hybrid-cloud strategies. Read about Polaris on Azure here: https://bit.ly/3zlQOQT
-
Want to speak at [the first ever in-person] #DruidSummit? Apply to speak here: https://bit.ly/45Qh4iv
-
-
Imply’s Finance Team is looking to hire a dynamic and driven Sr. Manager, FP&A, who will be a key contributor and owner of the critical financial FP&A systems as well as certain aspects of our business such as forecasting, modeling, and financial analysis and expense management. Want to learn more? Check out our listing here: https://bit.ly/3W5MIEq
-
-
"Mastering Druid: Performance Tuning for Lightning-Fast Analytics by Tijo Thomas" Join us in Bengaluru on July 15 at Nutanix HQ. https://lu.ma/z3qag7hv
-
-
Why attend {hashtag|\#|DruidSummit}? Because it's always a blast. But here are 4️⃣ other great reasons. ⬇️ https://lnkd.in/eDU5Fk4M
-