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What is UST IQ?

UST IQ for AMI Analytics revolutionizes the data engineering workflow by seamlessly managing the ingestion of extensive, high-frequency metering data and providing detailed insights, thereby enabling AMI business operations to focus on critical decision-making rather than IT infrastructure issues. It adeptly gathers both real-time and historical data, encompassing meter readings, alarms, events, GIS details, as well as data from external sources, converting this information into formats that are ready for querying through a cloud-native, microservices framework. This architecture facilitates self-service querying, location-specific and role-oriented analytics, and anticipatory exception management, equipping operations teams with vital insights into network irregularities, meter efficiency, outages, and environmental factors including seismic activity and weather conditions. Consequently, it improves the capacity to optimize field crew allocation, prevent costly failures, and enhance restoration processes. The system adeptly processes an immense volume of data, managing hundreds of millions of records on a daily basis through low-latency micro-batching, usually within 5-minute intervals, while also including capabilities such as 30-day rolling averages and alert-triggered notifications to bolster operational efficiency. This thorough strategy not only speeds up data processing but also guarantees that actionable insights are available as required, ultimately driving enhanced operational effectiveness and facilitating better strategic planning. Additionally, the integration of advanced analytics promotes a proactive approach to managing utilities, ensuring that businesses can respond swiftly to emerging challenges.

What is Apache Doris?

Apache Doris is a sophisticated data warehouse specifically designed for real-time analytics, allowing for remarkably quick access to large-scale real-time datasets. This system supports both push-based micro-batch and pull-based streaming data ingestion, processing information within seconds, while its storage engine facilitates real-time updates, appends, and pre-aggregations. Doris excels in managing high-concurrency and high-throughput queries, leveraging its columnar storage engine, MPP architecture, cost-based query optimizer, and vectorized execution engine for optimal performance. Additionally, it enables federated querying across various data lakes such as Hive, Iceberg, and Hudi, in addition to traditional databases like MySQL and PostgreSQL. The platform also supports intricate data types, including Array, Map, and JSON, and includes a variant data type that allows for the automatic inference of JSON data structures. Moreover, advanced indexing methods like NGram bloomfilter and inverted index are utilized to enhance its text search functionalities. With a distributed architecture, Doris provides linear scalability, incorporates workload isolation, and implements tiered storage for effective resource management. Beyond these features, it is engineered to accommodate both shared-nothing clusters and the separation of storage and compute resources, thereby offering a flexible solution for a wide range of analytical requirements. In conclusion, Apache Doris not only meets the demands of modern data analytics but also adapts to various environments, making it an invaluable asset for businesses striving for data-driven insights.

Media

Media

Integrations Supported

Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
MySQL
OpenMetadata
PostgreSQL
SelectDB
TapData
VeloDB

Integrations Supported

Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
MySQL
OpenMetadata
PostgreSQL
SelectDB
TapData
VeloDB

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

UST

Company Location

United States

Company Website

www.ust.com/en/what-we-do/digital-transformation/data-analytics/ust-iq/ami

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

doris.apache.org

Categories and Features

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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