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What is StarRocks?

No matter if your project consists of a single table or multiple tables, StarRocks promises a remarkable performance boost of no less than 300% when stacked against other commonly used solutions. Its extensive range of connectors allows for the smooth ingestion of streaming data, capturing information in real-time and guaranteeing that you have the most current insights at your fingertips. Designed specifically for your unique use cases, the query engine enables flexible analytics without the hassle of moving data or altering SQL queries, which simplifies the scaling of your analytics capabilities as needed. Moreover, StarRocks not only accelerates the journey from data to actionable insights but also excels with its unparalleled performance, providing a comprehensive OLAP solution that meets the most common data analytics demands. Its sophisticated caching system, leveraging both memory and disk, is specifically engineered to minimize the I/O overhead linked with data retrieval from external storage, which leads to significant enhancements in query performance while ensuring overall efficiency. Furthermore, this distinctive combination of features empowers users to fully harness the potential of their data, all while avoiding unnecessary delays in their analytic processes. Ultimately, StarRocks represents a pivotal tool for those seeking to optimize their data analysis and operational productivity.

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.

Media

Media

Integrations Supported

Amazon S3
Apache Kafka
Apache Iceberg
Apache Spark
Bytebase
CelerData Cloud
Databricks
Dosi
Grafana Cloud
IBM watsonx.data
LeetCode
PostgreSQL
SQL
Trino
Unity Catalog

Integrations Supported

Amazon S3
Apache Kafka
Astro by Astronomer
Hadoop
Hue
OpenMetadata
StarTree

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

StarRocks

Company Location

United States

Company Website

www.starrocks.io

Company Facts

Organization Name

Apache Corporation

Date Founded

1954

Company Location

United Statess

Company Website

pinot.apache.org

Categories and Features

OLAP Databases

Not specified

Query Engines

Not specified

Categories and Features

Columnar Databases

Not specified

OLAP Databases

Not specified

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