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Average Ratings 0 Ratings

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ease
features
design
support

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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

A cloud database that can scale to handle large streaming data sets. Kinetica harnesses modern vectorized processors to perform orders of magnitude faster for real-time spatial or temporal workloads. In real-time, track and gain intelligence from billions upon billions of moving objects. Vectorization unlocks new levels in performance for analytics on spatial or time series data at large scale. You can query and ingest simultaneously to take action on real-time events. Kinetica's lockless architecture allows for distributed ingestion, which means data is always available to be accessed as soon as it arrives. Vectorized processing allows you to do more with fewer resources. More power means simpler data structures which can be stored more efficiently, which in turn allows you to spend less time engineering your data. Vectorized processing allows for incredibly fast analytics and detailed visualizations of moving objects at large scale.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Astro by Astronomer
Azure Data Lake
Hadoop
Hue
Kestra
NVIDIA RAPIDS
Onehouse
OpenMetadata
Oracle Audience Segmentation
Oracle Big Data Preparation
Oracle Cloud Infrastructure Data Catalog
Oracle Cloud Infrastructure Object Storage
Oracle Endeca Commerce
Oracle Machine Learning
Oracle Partner Relationship Management
Oracle Subscription Management
Oracle Textura Pre-Qualification
Oracle Unity Customer Data Platform
StarTree

Integrations

Amazon S3
Astro by Astronomer
Azure Data Lake
Hadoop
Hue
Kestra
NVIDIA RAPIDS
Onehouse
OpenMetadata
Oracle Audience Segmentation
Oracle Big Data Preparation
Oracle Cloud Infrastructure Data Catalog
Oracle Cloud Infrastructure Object Storage
Oracle Endeca Commerce
Oracle Machine Learning
Oracle Partner Relationship Management
Oracle Subscription Management
Oracle Textura Pre-Qualification
Oracle Unity Customer Data Platform
StarTree

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

Apache Corporation

Founded

1954

Country

United Statess

Website

pinot.apache.org

Vendor Details

Company Name

Kinetica

Founded

2009

Country

United States

Website

www.kinetica.com

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Alternatives

Alternatives

Apache Doris Reviews

Apache Doris

The Apache Software Foundation