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Description

Parquet was developed to provide the benefits of efficient, compressed columnar data representation to all projects within the Hadoop ecosystem. Designed with a focus on accommodating complex nested data structures, Parquet employs the record shredding and assembly technique outlined in the Dremel paper, which we consider to be a more effective strategy than merely flattening nested namespaces. This format supports highly efficient compression and encoding methods, and various projects have shown the significant performance improvements that arise from utilizing appropriate compression and encoding strategies for their datasets. Furthermore, Parquet enables the specification of compression schemes at the column level, ensuring its adaptability for future developments in encoding technologies. It is crafted to be accessible for any user, as the Hadoop ecosystem comprises a diverse range of data processing frameworks, and we aim to remain neutral in our support for these different initiatives. Ultimately, our goal is to empower users with a flexible and robust tool that enhances their data management capabilities across various applications.

Description

OpenObserve is a robust open-source observability platform designed for managing logs, metrics, and traces, focusing on exceptional performance, scalability, and significantly reduced costs. It enables observability at a petabyte scale by incorporating features like columnar storage data compression and the flexibility of “bring your own bucket” storage options, including local disks and cloud services such as S3, GCS, and Azure Blob. Developed in Rust, it utilizes the DataFusion query engine for direct querying of Parquet files, and it boasts a stateless, horizontally scalable framework that employs caching strategies for both results and disk to ensure rapid performance even during peak loads. By adhering to open standards, including compatibility with OpenTelemetry and vendor-neutral APIs, OpenObserve seamlessly integrates into pre-existing monitoring and logging ecosystems. Its essential components encompass logs, metrics, traces, frontend monitoring, pipelines, alerts, and comprehensive dashboards for visualizations. Ultimately, OpenObserve empowers organizations to achieve efficient and cost-effective observability solutions in their operations.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

3LC
APERIO DataWise
Arroyo
Azure Blob Storage
CSViewer
Flyte
GribStream
Hadoop
IBM Db2 Event Store
Mage Sensitive Data Discovery
OpenTelemetry
QuerySurge
Rust
StarfishETL
Streamkap
Tad
Tenzir
Tictable
Visplore
e6data

Integrations

3LC
APERIO DataWise
Arroyo
Azure Blob Storage
CSViewer
Flyte
GribStream
Hadoop
IBM Db2 Event Store
Mage Sensitive Data Discovery
OpenTelemetry
QuerySurge
Rust
StarfishETL
Streamkap
Tad
Tenzir
Tictable
Visplore
e6data

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.30 per GB
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

parquet.apache.org

Vendor Details

Company Name

OpenObserve

Founded

2022

Country

United States

Website

openobserve.ai/

Product Features

Product Features

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