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What is Kyubit Business Intelligence?
Effortlessly create OLAP/SQL data analytic dashboards and reports in mere minutes, leveraging features such as secure collaboration, interactive analysis, scheduled subscriptions, embedded BI tools, and multitenancy support! This streamlined approach allows for the rapid generation of customized reports and dashboards that fit your specific requirements, utilizing OLAP, SQL, and CSV data sources for seamless sharing and collaboration among users. Should you need assistance, have questions, or wish to provide feedback regarding the evaluation or production use of Kyubit Business Intelligence, do not hesitate to reach out to our team. Additionally, explore the BI Features Sheet page to discover all the key aspects of the Kyubit Business Intelligence platform, which serves as a valuable reminder of its extensive capabilities. Furthermore, you can review comprehensive documentation that includes installation and administration manuals, guides for Self-Service BI, an OLAP analysis handbook, and a user manual for dashboards. It's also important to keep abreast of the latest advancements in the Kyubit Business Intelligence platform, as it is continuously updated with new features and improvements, ensuring you are equipped with the most effective tools available. By fully utilizing these resources, you can maximize your analytics experience and drive better decision-making within your organization.
What is Apache Pinot?
Pinot is designed to optimize the handling of OLAP queries with low latency when working with static data. It supports a variety of pluggable indexing techniques, such as Sorted Index, Bitmap Index, and Inverted Index. Although it does not currently facilitate joins, this can be circumvented by employing Trino or PrestoDB for executing queries. The platform offers an SQL-like syntax that enables users to perform selection, aggregation, filtering, grouping, ordering, and distinct queries on the data. It comprises both offline and real-time tables, where real-time tables are specifically implemented to fill gaps in offline data availability. Furthermore, users have the capability to customize the anomaly detection and notification processes, allowing for precise identification of significant anomalies. This adaptability ensures users can uphold robust data integrity while effectively addressing their analytical requirements, ultimately enhancing their overall data management strategy.
Integrations Supported
Amazon S3
Apache Kafka
Astro by Astronomer
Azure Data Lake
Hadoop
Hue
Kestra
KonnectzIT
Onehouse
OpenMetadata
Integrations Supported
Amazon S3
Apache Kafka
Astro by Astronomer
Azure Data Lake
Hadoop
Hue
Kestra
KonnectzIT
Onehouse
OpenMetadata
API Availability
Has API
API Availability
Has API
Pricing Information
$695 one-time payment
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
Kyubit Solutions
Date Founded
2009
Company Location
Croatia
Company Website
www.kyubit.com
Company Facts
Organization Name
Apache Corporation
Date Founded
1954
Company Location
United Statess
Company Website
pinot.apache.org
Categories and Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics