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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Pinot is built to efficiently handle OLAP queries on static data with minimal latency. It incorporates various pluggable indexing methods, including Sorted Index, Bitmap Index, and Inverted Index. While it currently lacks support for joins, this limitation can be mitigated by utilizing Trino or PrestoDB for querying purposes. The system offers an SQL-like language that enables selection, aggregation, filtering, grouping, ordering, and distinct queries on datasets. It comprises both offline and real-time tables, with real-time tables being utilized to address segments lacking offline data. Additionally, users can tailor the anomaly detection process and notification mechanisms to accurately identify anomalies. This flexibility ensures that users can maintain data integrity and respond proactively to potential issues.

Description

Ensure reliable database performance and uptime by utilizing smart tuning advisors alongside ongoing database profiling. Examine comprehensive statistics for individual queries and gain valuable insights into their performance history, allowing you to identify and address slow queries effectively. Automatically gather execution plans and receive in-depth analyses based on the data collected from your database's query plans. Gain a clear understanding of the factors contributing to a query's sluggishness and obtain suggestions for optimizing its execution speed. Track performance degradation for specific queries over time, analyzing metrics such as I/O versus CPU time and the buffer cache hit ratio for each query. The system can also automatically identify absent indexes and suggest both single and multi-column indexes that can enhance query performance throughout your databases. Detailed recommendations for auto vacuum settings on a per-table basis help manage table bloat, optimize freezing, and improve VACUUM efficiency among other performance aspects. Ultimately, discover tailored configuration options designed specifically for your database workload that facilitate consistent and reliable performance in Postgres environments. By implementing these strategies, you can ensure that your database operates at its peak efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Active Directory
Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Astro by Astronomer
Azure Data Lake
Docker
Google Apps Script
Google Cloud Platform
Hadoop
Hue
Kestra
LDAP Admin Tool
Microsoft Azure
Okta
Onehouse
OpenMetadata
PostgreSQL
StarTree
TierZero

Integrations

Active Directory
Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Astro by Astronomer
Azure Data Lake
Docker
Google Apps Script
Google Cloud Platform
Hadoop
Hue
Kestra
LDAP Admin Tool
Microsoft Azure
Okta
Onehouse
OpenMetadata
PostgreSQL
StarTree
TierZero

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$149 per month
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

Apache Corporation

Founded

1954

Country

United Statess

Website

pinot.apache.org

Vendor Details

Company Name

pganalyze

Founded

2012

Country

United States

Website

pganalyze.com

Product Features

Database Monitoring

Anomaly Detection
Autodiscovery
Capacity Planning
Dashboard
Dependency Tracking
Historical Trend Analysis
Multitenancy
Notifications / Alerts
Performance Monitoring
Permissions / Access Controls
Predictive Analytics
Prioritization
Query Analysis
Resource Optimization
Troubleshooting

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