Deep.BI

Deep.BI is an analytics platform built on open-source technologies like Apache Druid and Apache Flink. According to the vendor, it aims to provide real-time analytics, data-driven applications, and effective storage for large-scale data processing and analysis. Deep.BI is designed to cater to enterprises and organizations of all sizes and is used by data analysts, data scientists, business intelligence professionals, IT professionals, and e-commerce companies across various industries.

Key Features

Deep Predictive Cache: According to the vendor, this feature offers an external layer of caching that can accelerate query time up to 10 times. It predicts queries and pre-fetches and pre-caches them for faster results. Users have control over cache invalidation/refresh based on user, query, or time period.

Deep Explorer: The vendor claims that this feature provides cloud Druid-powered analytics, supporting both ad-hoc exploratory dashboards and enterprise KPI dashboards. It includes a visual query builder and API for embedded analytics and custom reporting. Additionally, it offers user management, dashboards access and privacy settings, and authorization/authentication.

Deep Segment Reader: The vendor states that this feature enables easy access to all historical data on-demand using the open-source Spark Druid Segment Reader. It allows data science teams to work with familiar tools like Spark and reduces data duplication between the data lake and Druid Deep Storage.

Deep Watch: According to the vendor, Deep Watch provides large-scale Druid monitoring and tuning. It analyzes metrics on a large scale and optimizes performance. This feature also analyzes API usage and dashboard usage to identify performance issues and offers root cause analysis of stability or performance issues.

24/7 Support for Apache Druid: The vendor offers SLA or No-SLA support plans for Apache Druid. According to the vendor, the support includes installation, troubleshooting, tuning, and monitoring expertise. It covers both on-premise and cloud platforms, including AWS, Azure, and GCP. Additionally, the vendor assists with Apache Druid architecture and data ingestion planning.

Apache Flink Support & Maintenance: According to the vendor, this feature provides 24/7 incident management and multiple level SLAs for Apache Flink. It offers daily maintenance, proactive monitoring, and performance tuning. The vendor also provides assistance with Flink upgrades, configuration fine-tuning, and hardware optimization. Similar to Apache Druid support, it supports on-premise and cloud platforms.

Apache Druid Training: The vendor offers a comprehensive training program designed to transform engineers into Druid experts. The training covers various topics such as Druid introduction, installation, data loading, querying, administration, and optimization. It includes theoretical lectures and practical workshops for hands-on experience. The vendor states that the learning plans can be custom-tailored to match specific requirements.

Managed Druid: The vendor provides managed Druid services for on-premise or cloud deployment. This feature includes DevOps support, daily maintenance, and upgrades. It also includes unique Druid add-ons like Deep Explorer, Deep Predictive Cache, and Deep Segment Reader. Performance tuning, hardware optimization, and high availability SLAs with proactive monitoring are part of the package.