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 15,174 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
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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
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Primary
1633 Old Bayshore Hwy
Burlingame, California 94010, US
Employees at Imply
Updates
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🔎 #DruidSummit Speaker Spotlight: Ben Sykes – Optimizing Druid Configurations at Netflix through Parallel Testing and Metrics Analysis Level: 🟠 Intermediate As a data-driven company, Netflix continually seeks to enhance the performance and reliability of its data infrastructure. This talk will delve into our sophisticated approach to optimizing Apache Druid configurations through parallel runs and A/B testing methodologies. We will explore how Netflix tests various Druid setups by running them concurrently against dual systems, enabling a direct comparison of key performance metrics reported by different clusters. Attendees will gain insights into the following areas: 1. Cluster Management and Deployment An overview of Netflix's strategies for managing and deploying Druid clusters, emphasizing automation and scalability. 2. Centralized Logging and Metrics Techniques for aggregating and analyzing logs and metrics to facilitate real-time monitoring and post-mortem analysis. 3. Cluster Architecture Patterns Best practices and patterns employed by Netflix to architect Druid clusters for optimal performance and reliability. 4. Parallel Testing Framework Detailed methodologies for executing parallel runs and conducting A/B testing to evaluate different Druid configurations, including the tools and frameworks used. This session will provide practical knowledge and actionable insights, empowering attendees to apply similar strategies within their own organizations to optimize Druid deployments. Join us to learn how Netflix leverages advanced testing and analytical techniques to push the boundaries of what is possible with Apache Druid. https://bit.ly/4dBxZsm
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See you at IoT Tech Expo World Series Europe on October 1 and 2! https://bit.ly/3JhYbJ7 #IoTTechExpo
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The #DruidSummit schedule is live (and continuously growing!) Check it out here: https://bit.ly/4dBxZsm
Druid Summit 2024 - hosted by Imply
https://druidsummit.org
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20 million records ingested daily <1ms query response time 80 terabytes data volume Read how Druid and Imply drive TrueCar, Inc.'s real-time dashboards. https://bit.ly/48GOgtD
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🔎 #DruidSummit Speaker Spotlight: Imply's Abhishek Radhakrishnan – Ingesting Delta Lake tables into Druid Level: 🟠 Intermediate https://bit.ly/4dBxZsm
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🔎 #DruidSummit Speaker Spotlight: Saravanan Vijayappan – Transforming Stadium Merchandising with Retailcloud: Harnessing Imply for Real-Time Analytics Level: 🟠 Intermediate https://bit.ly/4dBxZsm Join us for an in-depth look at retailcloud's groundbreaking Data and Analytics Platform (DAP), engineered to handle and analyze millions of transactions in real-time during major sporting events such as the NBA, NFL, and Golf tournaments. This innovative platform focuses on stadium merchandising operations, where the need for timely insights is paramount to optimizing sales performance. By harnessing the powerful capabilities of Confluent and Imply, Retailcloud delivers real-time analytics that provide customers with actionable insights into sales trends and performance metrics. This session will explore how these insights empower their clients to make swift, informed decisions, thereby maximizing their sales potential during high-profile events. Discover how Retailcloud is transforming the landscape of real-time analytics in stadium merchandising.
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Splunk + Imply: The Foundation of Splunk’s Real-Time Analytics Engine ⏱️ 500 million rows ingested / min 🗄️ Reduced backend storage 📉 13.5x data size reduction Read Splunk's success story here: https://bit.ly/3Xl1wkn
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Very secure, very mindful. https://bit.ly/3Qdqmyw
A Builder's Guide to Security Analytics - Imply
imply.io
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🔎 #DruidSummit Speaker Spotlight: Sudeep Kumar: Service Dependency Inferencing at Scale with Druid & Streaming Level: 🟠 Intermediate By leveraging Druid, Sudeep and his team at Salesforce achieve sub-second query performance, making it great for real-time analytics. In his talk at Druid Summit, Sudeep will explore the advantages of integrating a streaming pipeline in front of Druid, which facilitates large-scale aggregations. Such an integration model enhances Druid’s performance and reduces storage requirements, providing a cost-effective solution for large-scale service dependency inference. Here's what Sudeep says about Druid: "At Salesforce, we manage approximately 300 million distributed spans to infer service dependencies. We have successfully utilized a combination of Druid and #Flink to handle this scale with high availability. Attendees will gain insights into how to leverage Apache Druid for precise service dependency representation and achieve high-performance querying. We also employ #ApacheSuperset to slice and dice the data persisted on the Druid backend according to user requirements. Additionally, we leverage Grafana Labs to represent a time-series view of edge health metrics, such as latencies and errors, which are directly served from the Druid backend. They will also learn how to integrate streaming technologies to manage large-scale data aggregations effectively, optimizing storage and cost efficiency. This session will provide practical knowledge and techniques for leveraging Druid in real-world applications, enabling participants to enhance their data infrastructure and analytics capabilities." https://bit.ly/4dBxZsm
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