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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.
Description
Customizable tables equipped with detailed controls enable your internal team to access, perform full-text searches, modify, remove, and add data entries within your systems. These adaptable tables support comprehensive viewing and searching, allowing users to quickly locate all occurrences of specific words, numbers, or dates within the dataset. You can effortlessly import or export CSV files to streamline data management and access. Additionally, you can rearrange and edit table columns to design layouts that best fit the needs of your team. The process for adding and updating records is straightforward and user-friendly. As demonstrated below, the configuration options are flexible, and we offer a software development kit (SDK) to facilitate data validation. Furthermore, you can merge data from various systems to generate robust unified views of customers, transactions, or other entities using our intuitive drag-and-drop builder. This builder allows you to create custom views while also enabling the triggering of external webhooks, inline field editing, and integration with VOIP services for enhanced functionality. Through these features, your organization can effectively manage and analyze data like never before.
API Access
Has API
API Access
Has API
Integrations
Akamai Cloud
Amazon Web Services (AWS)
Apache Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
DigitalOcean
Docker
E-MapReduce
Integrations
Akamai Cloud
Amazon Web Services (AWS)
Apache Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
DigitalOcean
Docker
E-MapReduce
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
kudu.apache.org/overview.html
Vendor Details
Company Name
MissionKontrol
Founded
2019
Country
United Kingdom
Website
missionkontrol.io
Product Features
Product Features
Financial CRM
Account Alerts
Asset Management
Expense Tracking
Household Tracking
Influence Tracking
Lead Management
Marketing Management
Relationship Tracking
Team Assignments
Territory Management