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What is RediSearch?

Redis Enterprise provides a powerful engine for real-time indexing, querying, and full-text search that can be deployed on-premises or utilized as a cloud-managed service. This advanced search functionality is engineered for quick indexing and data ingestion, harnessing high-performance in-memory data structures designed in C. Users can extend and partition indexes across various shards and nodes, which boosts both processing speed and memory efficiency. Boasting an exceptional five-nines availability along with Active-Active failover, it guarantees continuous operations regardless of external factors. The real-time search features in Redis Enterprise allow users to rapidly create primary and secondary indexes on Hash and JSON datasets through a methodical incremental indexing approach, promoting swift index creation and deletion. These indexes enable users to conduct queries at extraordinary speeds, perform intricate aggregations, and filter information based on various criteria, including properties, numeric ranges, and geographic distances, thereby greatly enhancing data accessibility. By utilizing these advanced features, businesses can profoundly transform their data management and retrieval strategies, leading to more effective decision-making processes. Ultimately, Redis Enterprise stands out as a comprehensive solution for organizations looking to optimize their data handling capabilities.

What is Apache Pinot?

Pinot is designed to optimize the handling of OLAP queries with low latency when working with static data. It supports a variety of pluggable indexing techniques, such as Sorted Index, Bitmap Index, and Inverted Index. Although it does not currently facilitate joins, this can be circumvented by employing Trino or PrestoDB for executing queries. The platform offers an SQL-like syntax that enables users to perform selection, aggregation, filtering, grouping, ordering, and distinct queries on the data. It comprises both offline and real-time tables, where real-time tables are specifically implemented to fill gaps in offline data availability. Furthermore, users have the capability to customize the anomaly detection and notification processes, allowing for precise identification of significant anomalies. This adaptability ensures users can uphold robust data integrity while effectively addressing their analytical requirements, ultimately enhancing their overall data management strategy.

Media

Media

Integrations Supported

Acontext
Amazon S3
Apache Kafka
Archon Data Store
Astro by Astronomer
Azure Data Lake
Camunda
Hadoop
Hue
Kestra
Lygos
Onehouse
OpenMetadata
Redis
StarTree

Integrations Supported

Acontext
Amazon S3
Apache Kafka
Archon Data Store
Astro by Astronomer
Azure Data Lake
Camunda
Hadoop
Hue
Kestra
Lygos
Onehouse
OpenMetadata
Redis
StarTree

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Redis

Company Location

United States

Company Website

redis.com/modules/redis-search/

Company Facts

Organization Name

Apache Corporation

Date Founded

1954

Company Location

United Statess

Company Website

pinot.apache.org

Categories and Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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