Apache DataFusion

Apache DataFusion

Apache Software Foundation
Apache Doris

Apache Doris

The Apache Software Foundation
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About

Apache DataFusion is an extensible, high-performance query engine written in Rust that utilizes Apache Arrow as its in-memory format. Designed for developers building data-centric systems such as databases, data frames, machine learning, and streaming applications, DataFusion offers SQL and DataFrame APIs, a vectorized, multi-threaded, streaming execution engine, and support for partitioned data sources. It natively supports formats like CSV, Parquet, JSON, and Avro, and allows for seamless integration with object stores including AWS S3, Azure Blob Storage, and Google Cloud Storage. The engine features a comprehensive query planner, a state-of-the-art optimizer with capabilities like expression coercion and simplification, projection and filter pushdown, sort and distribution-aware optimizations, and automatic join reordering. DataFusion is highly customizable, enabling the addition of user-defined scalar, aggregate, and window functions, custom data sources, query languages, etc.

About

Apache Doris is a modern data warehouse for real-time analytics. It delivers lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within a second. Storage engine with real-time upsert, append and pre-aggregation. Optimize for high-concurrency and high-throughput queries with columnar storage engine, MPP architecture, cost based query optimizer, vectorized execution engine. Federated querying of data lakes such as Hive, Iceberg and Hudi, and databases such as MySQL and PostgreSQL. Compound data types such as Array, Map and JSON. Variant data type to support auto data type inference of JSON data. NGram bloomfilter and inverted index for text searches. Distributed design for linear scalability. Workload isolation and tiered storage for efficient resource management. Supports shared-nothing clusters as well as separation of storage and compute.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Professional developers and data engineers seeking a solution for building data-centric systems

Audience

Developers interested in an open source, real-time data warehouse

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apache Software Foundation
Founded: 2019
United States
datafusion.apache.org

Company Information

The Apache Software Foundation
Founded: 1999
United States
doris.apache.org

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
BigLake

BigLake

Google

Categories

Categories

Integrations

Amazon S3
Apache Arrow
Apache Avro
Apache Flink
Apache Hive
Apache Hudi
Apache Parquet
Apache Spark
Azure Blob Storage
Baidu Palo
C
Google Cloud Storage
Google Sheets
JSON
Microsoft Excel
OpenMetadata
PostgreSQL
Python
TapData
VeloDB

Integrations

Amazon S3
Apache Arrow
Apache Avro
Apache Flink
Apache Hive
Apache Hudi
Apache Parquet
Apache Spark
Azure Blob Storage
Baidu Palo
C
Google Cloud Storage
Google Sheets
JSON
Microsoft Excel
OpenMetadata
PostgreSQL
Python
TapData
VeloDB
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