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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

Presto serves as an open-source distributed SQL query engine designed for executing interactive analytic queries across data sources that can range in size from gigabytes to petabytes. It addresses the challenges faced by data engineers who often navigate multiple query languages and interfaces tied to isolated databases and storage systems. Presto stands out as a quick and dependable solution by offering a unified ANSI SQL interface for comprehensive data analytics and your open lakehouse. Relying on different engines for various workloads often leads to the necessity of re-platforming in the future. However, with Presto, you benefit from a singular, familiar ANSI SQL language and one engine for all your analytic needs, negating the need to transition to another lakehouse engine. Additionally, it efficiently accommodates both interactive and batch workloads, handling small to large datasets and scaling from just a few users to thousands. By providing a straightforward ANSI SQL interface for all your data residing in varied siloed systems, Presto effectively integrates your entire data ecosystem, fostering seamless collaboration and accessibility across platforms. Ultimately, this integration empowers organizations to make more informed decisions based on a comprehensive view of their data landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Astro by Astronomer Yes 
Acryl Data No 
Amazon EMR No 
Amazon S3 Yes 
Anomalo No 
Apache Iceberg No 
Apache Kafka Yes 
Apache Superset No 
HStreamDB No 
Hex No 
Hue Yes 
Intelswift No 
Lyftrondata No 
Metabase No 
Onehouse Yes 
PopSQL No 
SQL No 
Sifflet No 
Zing Data No 
jethro No 

Integrations

Astro by Astronomer Yes 
Acryl Data Yes 
Amazon EMR Yes 
Amazon S3 No 
Anomalo Yes 
Apache Iceberg Yes 
Apache Kafka No 
Apache Superset Yes 
HStreamDB Yes 
Hex Yes 
Hue No 
Intelswift Yes 
Lyftrondata Yes 
Metabase Yes 
Onehouse No 
PopSQL Yes 
SQL Yes 
Sifflet Yes 
Zing Data Yes 
jethro Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free, open-source software
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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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 No 

Types of Training

Training Docs Yes 
Webinars No 
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

Apache Corporation

Founded

1954

Country

United Statess

Website

pinot.apache.org

Vendor Details

Company Name

Presto Foundation

Founded

2019

Country

United States

Website

prestodb.io

Product Features

Relational Database

ACID Compliance Yes 
Data Failure Recovery Yes 
Multi-Platform Yes 
Referential Integrity Yes 
SQL DDL Support Yes 
SQL DML Support Yes 
System Catalog Yes 
Unicode Support Yes 

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