Apache DataFusion

Apache DataFusion

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

OpenObserve is an open source observability platform for logs, metrics, and traces that emphasizes high performance, scalability, and dramatically lower cost. It supports petabyte-scale observability thanks to features like data compression using columnar storage and the ability to use “bring your own bucket” storage (local disk, S3, GCS, Azure Blob, etc.). It is written in Rust, uses the DataFusion query engine to directly query Parquet files, and provides a stateless, horizontally scalable architecture with caching (both result and disk) to maintain speed under heavy load. It embraces open standards (OpenTelemetry compatibility, vendor-neutral APIs), so it fits into existing monitoring/logging workflows. Key modules include logs, metrics, traces, frontend monitoring, pipelines, alerts, and dashboards/visualizations.

About

Knowing of data wrangling habits, Polars exposes a complete Python API, including the full set of features to manipulate DataFrames using an expression language that will empower you to create readable and performant code. Polars is written in Rust, uncompromising in its choices to provide a feature-complete DataFrame API to the Rust ecosystem. Use it as a DataFrame library or as a query engine backend for your data models.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

DevOps and companies wanting a solution to manage and optimize their logs, metrics, and traces

Audience

IT teams seeking a dataframe interface solution thats implemented in Rust

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$0.30 per GB
Free Version
Free Trial

Pricing

No information available.
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

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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

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

OpenObserve
Founded: 2022
United States
openobserve.ai/

Company Information

Polars
www.pola.rs/

Alternatives

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
TelemetryHub

TelemetryHub

TelemetryHub by Scout APM
Apache DataFusion

Apache DataFusion

Apache Software Foundation
Logfire

Logfire

Pydantic

Categories

Categories

Categories

Integrations

Rust
Amazon Web Services (AWS)
Apache Arrow
Apache Avro
Apache Parquet
Azure Blob Storage
C
Flyte
Google Cloud Platform
Google Cloud Storage
Google Sheets
JSON
Kubernetes
Microsoft Excel
Node.js
OpenTelemetry
Python
SDF
SQL
ZenML

Integrations

Rust
Amazon Web Services (AWS)
Apache Arrow
Apache Avro
Apache Parquet
Azure Blob Storage
C
Flyte
Google Cloud Platform
Google Cloud Storage
Google Sheets
JSON
Kubernetes
Microsoft Excel
Node.js
OpenTelemetry
Python
SDF
SQL
ZenML

Integrations

Rust
Amazon Web Services (AWS)
Apache Arrow
Apache Avro
Apache Parquet
Azure Blob Storage
C
Flyte
Google Cloud Platform
Google Cloud Storage
Google Sheets
JSON
Kubernetes
Microsoft Excel
Node.js
OpenTelemetry
Python
SDF
SQL
ZenML
Claim Apache DataFusion and update features and information
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