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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.

What is Apache Arrow?

Apache Arrow introduces a columnar memory format that remains agnostic to any particular programming language, catering to both flat and hierarchical data structures while being fine-tuned for rapid analytical tasks on modern computing platforms like CPUs and GPUs. This innovative memory design facilitates zero-copy reading, which significantly accelerates data access without the hindrances typically caused by serialization processes. The ecosystem of libraries surrounding Arrow not only adheres to this format but also provides vital components for a range of applications, especially in high-performance analytics. Many prominent projects utilize Arrow to effectively convey columnar data or act as essential underpinnings for analytic engines. Emerging from a passionate developer community, Apache Arrow emphasizes a culture of open communication and collective decision-making. With a diverse pool of contributors from various organizations and backgrounds, we invite everyone to participate in this collaborative initiative. This ethos of inclusivity serves as a fundamental aspect of our mission, driving innovation and fostering growth within the community while ensuring that a wide array of perspectives is considered. It is this collaborative spirit that empowers the development of cutting-edge solutions and strengthens the overall impact of the project.

Media

Media

Integrations Supported

3LC
APERIO DataWise
Apache DataFusion
Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
Chalk
Daft
MySQL
OpenMetadata
PostgreSQL
SelectDB
TapData
VeloDB
XTDB

Integrations Supported

3LC
APERIO DataWise
Apache DataFusion
Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
Chalk
Daft
MySQL
OpenMetadata
PostgreSQL
SelectDB
TapData
VeloDB
XTDB

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

doris.apache.org

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

arrow.apache.org

Categories and Features

Data Warehouse

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

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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