Redis Ltd. Unclaimed

Experience enterprise-grade Redis with fully managed deployments and enhanced scalability.

Self-manage your Redis environment with enterprise-grade compliance and reliability.

Empower applications with a fast, reliable in-memory database for caching and streaming.

Enhance GenAI apps with fast data access and real-time insights using Redis.

Enhance AI applications with faster responses and lowered costs using Redis LangCache.

Enhances Redis development with powerful visualization and debugging tools.

Sync data to Redis in real time for enhanced performance and accuracy.

Enhances Redis development with AI-powered query assistance and real-time insights.

Empowers real-time data queries and search with high accuracy and speed.

In-memory data stores that provide sub-millisecond reads/writes, session stores, and high-throughput caching for performance-sensitive applications.

Capabilities that ingest, synchronize, and stream transactional data from source databases into fast stores in near real time for up-to-date application state and analytics.

Semantic vector search, hybrid retrieval, and AI-focused data features that accelerate generative AI applications and enable agent memory, semantic caching, and fast similarity search.

Developer-facing interfaces and assistants for debugging, monitoring, query building, and context-aware help to accelerate development and operational troubleshooting.

Redis Cloud

Fully managed Redis deployments on major cloud providers, designed for production use and integrated with Google Cloud, Azure, and AWS.

• Integrate Easily With Major Platforms
  Redis Cloud allows you to deploy applications quickly on the cloud provider of your choice, ensuring flexibility and reliability.
• Benefit From Hassle-Free Management
  Eliminate the operational complexities of managing Redis yourself, allowing you to focus on driving value to your applications.
• Achieve High Availability Globally
  Redis Cloud guarantees exceptional uptime, making your applications resilient and reliable across geographic locations.
• Distribute Data Across Regions
  Maximize data availability and minimize latency by leveraging the geographic distribution capabilities of Redis Cloud.
• Seamlessly Synchronize Data
  Utilize Redis Data Integration to connect and streamline workflows between your databases and Redis.
• Customize Performance and Cost
  Adjust your Redis Cloud deployment to meet the specific requirements of your applications, balancing speed and cost-effectiveness.

Redis Software

Self-managed Redis software you install and operate, with enterprise-grade compliance and reliability for on-premises or private cloud deployments.

• Ensure Compliance And Reliability
  Redis Software provides robust security features that ensure compliance with industry standards, allowing for secure handling of data.
• Customize Your Deployment
  Easily deploy Redis in your preferred environment, whether on-premises or cloud, enabling flexibility and control over your architecture.
• Distribute Data Across Regions
  Utilize Active-Active functionality to ensure low latency access to data anywhere in the world, improving user experience for global applications.
• Maintain Uptime
  Redis Software supports robust failover mechanisms to ensure your applications remain online and responsive, even during hardware failures.
• Simplify Management
  Automate daily operations and maintenance tasks, allowing teams to focus on building applications rather than managing infrastructure.

Redis Open Source

In-memory database for caching and streaming, available as open-source software.

• Boost Performance With Caching
  Utilize Redis Open Source to keep frequently accessed data in memory, reducing latency and improving response times for your applications.
• Enable Streaming Capabilities
  Leverage Redis for high-throughput data streaming, facilitating real-time processing for applications like event logging and telemetry.
• Ensure System Resilience
  Redis Open Source supports high availability setups to minimize downtime and maintain data accessibility with automated failover mechanisms.
• Support AI Workloads With Vector Database
  Redis Open Source can manage over 1 billion vectors, allowing organizations to efficiently support AI and machine learning tasks through rapid similarity searches.
• Work With Various Data Structures
  Utilize Redis to manage diverse data types, tailored for specific use cases like document storage, time-stamped events, and structured data querying.

Redis for AI

AI-focused offering to accelerate GenAI apps using Redis's in-memory data platform, featuring vector search and AI-ready data capabilities.

• Accelerate AI Model Processing
  Redis for AI enhances processing times for generative AI applications, ensuring they operate efficiently even with large datasets, thus improving their responsiveness and scalability.
• Reduce AI Service Costs
  By utilizing intelligent caching, Redis for AI minimizes redundant API calls, effectively lowering operational costs and enhancing application speed through data reuse.
• Enable Real-Time Vector Queries
  Offering fast and accurate vector searches, Redis facilitates the retrieval of complex data patterns, making it essential for applications requiring high-dimensional data processing.
• Maintain Context Across Sessions
  Redis for AI helps manage both long-term and short-term memory for AI agents, enabling them to remember past interactions and improve user experiences through context retention.
• Deliver Context From Mixed Data Sources
  Integrate and search through various data types seamlessly, allowing for dynamic responses in AI applications that leverage both structured and unstructured data.

Redis LangCache

Redis LangCache is a fully-managed semantic caching service designed to reduce costs and improve response times for AI applications. It stores and reuses previous LLM responses for repeated queries, significantly lowering expensive LLM calls while enhancing operational efficiency.

• Shorten Response Times
  By reusing previous responses, LangCache minimizes the need for costly LLM calls, leading to faster query handling and reduced expenses.
• Reduce LLM Costs
  A high cache hit rate ensures that repeated queries can be answered without engaging the LLM, leading to up to 70% savings in operational costs.
• Enhance Data Control
  Leverage sophisticated cache management features to ensure data integrity, enhance cache performance, and comply with privacy regulations.
• Simplify Deployment
  Utilize a fully managed solution that minimizes operational overhead, allowing developers to focus on building innovative applications.

Redis Insight

Graphical user interface for developing, debugging, and visualizing Redis deployments. It includes tools for query building, monitoring, and integration with Redis Data Integration (RDI).

• Enhances Development Workflow
  Use an intuitive interface to browse, filter, and simulate commands on Redis data, improving development and debugging speed.
• Simplifies Complex Queries
  Utilize natural language to construct queries, enabling easier interactions with data without needing advanced syntax knowledge.
• Enhances Operational Awareness
  View live metrics and logs, helping identify performance bottlenecks and ensuring optimal database operations.
• Ensures Data Synchronization
  Automatically synchronize and manage data between Redis and existing databases, eliminating stale data issues.
• Flexible Deployment Options
  Deploy Redis Insight in various environments to suit operational needs, enhancing accessibility and convenience.

Redis Data Integration

Redis Data Integration (RDI) synchronizes data from your database into Redis in near-real time, enabling seamless access to fresh data and improved application performance.

• Refresh Data Instantly
  Eliminate stale data and caching issues, offering a smoother user experience by preloading data into memory before requests.
• Track Data Changes Automatically
  Keep your cache consistent with changes made in the primary data source without custom pipelines.
• Maintain System Resilience
  RDI automatically recovers from faults, ensuring your applications keep running without interruption.
• Streamline Data Operations
  Easily deploy and visualize data integration processes, reducing complexity and improving efficiency.
• Simplify Data Ingestion
  Save time and resources by easily setting up data flows without writing scripts or custom code.
• Connect Diverse Data Sources
  Flexible integration allows businesses to work with their preferred databases while maximizing Redis's speed and scalability.

Redis Copilot

AI assistant integrated with Redis Insight to answer questions, provide data insights, and generate code.

• Enhances Query Building
  Allows users to construct queries in natural language, simplifying data exploration and insights extraction, making data querying accessible without extensive technical knowledge.
• Delivers Contextual Insights
  Offers users the ability to query their data using natural language, enhancing the interactivity and usability of the insights provided.
• Improves Development Workflow
  Facilitates a streamlined approach to visualizing and managing data within the Redis environment, allowing developers to efficiently debug and optimize their applications.

Redis Search

Real-time search engine inside Redis enabling vector search, full-text search, and advanced query capabilities.

• Enhance Search Results
  Leverage advanced text search capabilities to improve user experience through features like auto-completion and fuzzy matching.
• Execute Advanced Vector Searches
  Harness the power of vector search to conduct semantic searches across extensive datasets, improving relevance and accuracy.
• Run Mixed Query Types
  Execute queries combining different types such as full-text, geospatial, and range searches to deliver versatile application functionalities.
• Transform Data Real-Time
  Utilize aggregation queries to analyze and reshape your Redis data for immediate insights across applications.
• Locate Geospatial Data
  Offer location-based search functionalities by efficiently querying geographic data within specified parameters.
• Optimize Data Access
  Enhance performance by creating secondary indexes on various data structures, facilitating faster data retrieval.