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ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

DynoTable is a desktop GUI designed for macOS (Apple Silicon), Windows, and Linux (.deb/.rpm) that operates locally and interfaces with Amazon DynamoDB and Amazon OpenSearch. With its SQL Workbench, users can execute real SELECT queries, including complex operations like JOINs, GROUP BY, and various aggregations on live tables and OpenSearch indices, allowing for the seamless integration of tables and indices in a single query. Before execution, it provides a compiled plan that distinguishes between Scan and Query with the selected index, enhancing user understanding of query performance. The Smart Tables feature enables joining tables based on a primary key or any global secondary index, with real-time recomputation ensuring data accuracy. Additionally, OpenSearch Service domains and Serverless collections can be accessed alongside tables, featuring capabilities such as Lucene search, autocomplete, and document edits that are managed similarly to item edits. An integrated AI agent operates using your own Amazon Bedrock keys, ensuring that no prompt, schema, or row information is stored outside your AWS account. Moreover, tools like Claude Code, Cursor, and Codex are able to connect through MCP, with all modifications requiring your review and approval in a staging window. Importantly, DynoTable employs your personal AWS credentials without necessitating a server in between, and it is compatible with AWS SSO, aws-vault, and DynamoDB Local, offering a comprehensive solution for managing your AWS database environments. This robust functionality makes DynoTable an essential tool for developers and data analysts working with AWS services.

Description

Redis Enterprise offers a robust real-time indexing, querying, and full-text search engine that is accessible both on-premises and as a cloud-managed service. This real-time search capability is optimized for rapid indexing and data ingestion, utilizing high-performance in-memory data structures developed in C. You can expand and partition indexes across multiple shards and nodes, enhancing both speed and memory capacity. With an impressive five-nines availability and Active-Active failover, uninterrupted operations are ensured in any circumstance. The real-time search feature of Redis Enterprise enables users to swiftly establish primary and secondary indexes on Hash and JSON datasets through an incremental indexing method, which facilitates quick index creation and removal. These indexes empower users to perform queries at remarkable speeds, execute complex aggregations, and filter data based on properties, numeric ranges, and geographical distances, thus enhancing overall data accessibility. By leveraging these capabilities, organizations can significantly improve their data management and retrieval processes.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Acontext No 
Amazon DynamoDB Yes 
Archon Data Store No 
Camunda No 
Lygos No 
Redis No 

Integrations

Acontext Yes 
Amazon DynamoDB No 
Archon Data Store Yes 
Camunda Yes 
Lygos Yes 
Redis Yes 

Pricing Details

$9/seat/month billed annually
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DynoTable

Founded

2026

Country

Spain

Website

dynotable.com

Vendor Details

Company Name

Redis

Country

United States

Website

redis.com/modules/redis-search/

Product Features

Product Features

Enterprise Search

AI / Machine Learning No 
Faceted Search / Filtering No 
Full Text Search No 
Fuzzy Search No 
Indexing No 
Text Analytics No 
eDiscovery No 

Alternatives

Alternatives

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