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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 Doris?

Apache Doris is a sophisticated data warehouse specifically designed for real-time analytics, allowing for remarkably quick access to large-scale real-time datasets. This system supports both push-based micro-batch and pull-based streaming data ingestion, processing information within seconds, while its storage engine facilitates real-time updates, appends, and pre-aggregations. Doris excels in managing high-concurrency and high-throughput queries, leveraging its columnar storage engine, MPP architecture, cost-based query optimizer, and vectorized execution engine for optimal performance. Additionally, it enables federated querying across various data lakes such as Hive, Iceberg, and Hudi, in addition to traditional databases like MySQL and PostgreSQL. The platform also supports intricate data types, including Array, Map, and JSON, and includes a variant data type that allows for the automatic inference of JSON data structures. Moreover, advanced indexing methods like NGram bloomfilter and inverted index are utilized to enhance its text search functionalities. With a distributed architecture, Doris provides linear scalability, incorporates workload isolation, and implements tiered storage for effective resource management. Beyond these features, it is engineered to accommodate both shared-nothing clusters and the separation of storage and compute resources, thereby offering a flexible solution for a wide range of analytical requirements. In conclusion, Apache Doris not only meets the demands of modern data analytics but also adapts to various environments, making it an invaluable asset for businesses striving for data-driven insights.

Media

Media

Integrations Supported

Apache Hive
Apache Spark
MySQL
PostgreSQL
Amazon S3
Apache Iceberg
Bytebase
CelerData Cloud
Databricks
Grafana Cloud
LeetCode
Presto
Trino
Unity Catalog

Integrations Supported

Apache Hive
Apache Spark
MySQL
PostgreSQL
Apache Flink
Baidu Palo
OpenMetadata
SelectDB
TapData
VeloDB

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Open source
Free Version

Supported Platforms

Linux

Supported Platforms

SaaS
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

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

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

doris.apache.org

Categories and Features

OLAP Databases

Not specified

Query Engines

Not specified

Categories and Features

Data Warehouse

Not specified

OLAP Databases

Not specified

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