Apache KuduThe Apache Software Foundation
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Related Products
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About
A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a single column like a unique user identifier, or a compound key such as a (host, metric, timestamp) tuple for a machine time-series database. Rows can be efficiently read, updated, or deleted by their primary key. Kudu's simple data model makes it a breeze to port legacy applications or build new ones, no need to worry about how to encode your data into binary blobs or make sense of a huge database full of hard-to-interpret JSON. Tables are self-describing, so you can use standard tools like SQL engines or Spark to analyze your data. Kudu's APIs are designed to be easy to use.
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About
LotusEye is a cloud-based AI anomaly detection service that automatically learns normal behavior from uploaded numerical or sensor data in CSV format and continuously calculates anomaly scores to flag deviations that may indicate faults or unexpected activity, providing alerts and visual insights without requiring users to have expertise in machine learning. It supports both wide-format CSV files, where each row represents sensor values at a timestamp, and long-format CSV with timestamp, sensor name, and value columns, and lets users upload data via drag-and-drop or through an API for scheduled automated processing. After training an AI model with normal operation data, users can upload test data to see calculated anomaly scores and review them in dashboards with time-series graphs, threshold indicators, and filters, helping teams spot unusual patterns and investigate potential issues quickly.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies and professionals looking for an open source data storage engine solution to facilitate their data analysis processes
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Audience
Data engineers, operations teams, and analysts wanting anomaly detection on time-series or numerical sensor data to flag abnormal behavior and monitor systems without building models manually
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$13 per month
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationThe Apache Software Foundation
Founded: 1999
United States
kudu.apache.org/overview.html
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Company InformationLotusEye
Japan
lotuseye.co.jp/
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Categories |
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Integrations
Apache Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
E-MapReduce
Google Sheets
Hadoop
Microsoft Excel
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Integrations
Apache Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
E-MapReduce
Google Sheets
Hadoop
Microsoft Excel
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