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features
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support

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Write a Review

Description

Uncover and rely on data for your analyses and models while enhancing productivity by dismantling silos. Gain instant insights into data usage by others and locate data within your organization effortlessly through a straightforward text search. Utilizing a PageRank-inspired algorithm, the system suggests results based on names, descriptions, tags, and user activity associated with tables or dashboards. Foster confidence in your data with automated and curated metadata that includes detailed information on tables and columns, highlights frequent users, indicates the last update, provides statistics, and offers data previews when authorized. Streamline the process by linking the ETL jobs and the code that generated the data, making it easier to manage table and column descriptions while minimizing confusion about which tables to utilize and their contents. Additionally, observe which data sets are commonly accessed, owned, or marked by your colleagues, and discover the most frequent queries for any table by reviewing the dashboards that leverage that specific data. This comprehensive approach not only enhances collaboration but also drives informed decision-making across teams.

Description

A Kudu cluster comprises tables that resemble those found in traditional relational (SQL) databases. These tables can range from a straightforward binary key and value structure to intricate designs featuring hundreds of strongly-typed attributes. Similar to SQL tables, each Kudu table is defined by a primary key, which consists of one or more columns; this could be a single unique user identifier or a composite key such as a (host, metric, timestamp) combination tailored for time-series data from machines. The primary key allows for quick reading, updating, or deletion of rows. The straightforward data model of Kudu facilitates the migration of legacy applications as well as the development of new ones, eliminating concerns about encoding data into binary formats or navigating through cumbersome JSON databases. Additionally, tables in Kudu are self-describing, enabling the use of standard analysis tools like SQL engines or Spark. With user-friendly APIs, Kudu ensures that developers can easily integrate and manipulate their data. This approach not only streamlines data management but also enhances overall efficiency in data processing tasks.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Spark Yes 
AWS Glue Yes 
Amazon Athena Yes 
Amazon Redshift Yes 
Amazon Web Services (AWS) Yes 
Apache Flink No 
Apache NiFi No 
BigBI No 
Datafold Yes 
Delta Lake Yes 
Google Cloud BigQuery Yes 
Google Cloud Platform Yes 
Hadoop No 
IBM Db2 Yes 
MySQL Yes 
OpenMetadata Yes 
PostgreSQL Yes 
SQL Server Yes 
Snowflake Yes 
Vertica Yes 

Integrations

Apache Spark Yes 
AWS Glue No 
Amazon Athena No 
Amazon Redshift No 
Amazon Web Services (AWS) No 
Apache Flink Yes 
Apache NiFi Yes 
BigBI Yes 
Datafold No 
Delta Lake No 
Google Cloud BigQuery No 
Google Cloud Platform No 
Hadoop Yes 
IBM Db2 No 
MySQL No 
OpenMetadata No 
PostgreSQL No 
SQL Server No 
Snowflake No 
Vertica No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amundsen

Country

United States

Website

www.amundsen.io

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

kudu.apache.org/overview.html

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