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Redis ™ VS Amazon CloudSearch

Compare Redis VS Amazon CloudSearch and see what are their differences

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  3. » Reviews
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Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Amazon CloudSearch logo Amazon CloudSearch

Amazon CloudSearch is a fully-managed service in the cloud that makes it easy to set up, manage, and scale a search solution for your website.
  • Redis Landing page
    Landing page //
    2022-10-19

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.

  • Amazon CloudSearch Landing page
    Landing page //
    2023-03-12

Redis features and specs

  • Performance
    Redis is an in-memory data store, which allows it to provide extremely fast read and write operations. This makes it ideal for applications requiring real-time interactions.
  • Data Structures
    Redis offers a variety of data structures, such as strings, hashes, lists, sets, and sorted sets. This flexibility helps developers manage data more efficiently in different scenarios.
  • Scalability
    Redis supports horizontal scalability with features like clustering and partitioning, allowing for easy scaling as your application grows.
  • Persistence
    Though primarily an in-memory store, Redis provides options for data persistence, such as RDB snapshots and AOF logs, enabling data durability across reboots.
  • Pub/Sub Messaging
    Redis includes a built-in publish/subscribe messaging system, which can be used to implement real-time messaging and notifications.
  • Simple API
    Redis has a simple and intuitive API, which can speed up development time and make it easier to integrate Redis into various application stacks.
  • Atomic Operations
    Redis supports atomic operations on data structures, reducing the complexity of concurrent programming and making it easier to maintain data consistency.

Possible disadvantages of Redis

  • Memory Usage
    Being an in-memory data store, Redis can become expensive in terms of memory usage, especially when working with large datasets.
  • Data Persistence Limitations
    While Redis offers data persistence, it is not as robust as traditional databases. There can be data loss in certain configurations, such as when using asynchronous persistence methods.
  • Complexity in Scaling
    Although Redis supports clustering, setting up and managing a Redis cluster can be complex and may require significant DevOps expertise.
  • Single-threaded Nature
    Redis operates on a single-threaded event loop, which can become a bottleneck for certain workloads that could benefit from multi-threading.
  • Limited Query Capabilities
    Compared to traditional relational databases, Redis offers limited querying capabilities. Complex queries and joins are not supported natively.
  • License
    As of Redis 6 and higher, the Redis modules are under the Server Side Public License (SSPL), which may be restrictive for some use cases compared to more permissive open-source licenses.

Amazon CloudSearch features and specs

  • Easy Setup
    Amazon CloudSearch is designed to be easy to set up and manage. You can quickly configure a search domain, upload data, and begin searching, reducing the time to market for your applications.
  • Scalability
    The service automatically scales resources up and down based on the volume of data and the rate of traffic, ensuring your search application can handle varying loads without manual intervention.
  • Fully Managed
    As a fully managed service, Amazon CloudSearch handles all the heavy lifting associated with maintaining and scaling servers, performing software patches, and monitoring health metrics.
  • Search Features
    Amazon CloudSearch supports multiple search features out-of-the-box, including faceting, highlighting, and autocomplete, providing a rich search experience without requiring custom implementations.
  • Integration with AWS Ecosystem
    It seamlessly integrates with other AWS services like S3, DynamoDB, and Kinesis, making it straightforward to ingest and process data from various sources within your AWS environment.

Possible disadvantages of Amazon CloudSearch

  • Limited Customization
    Compared to other search solutions like Elasticsearch, Amazon CloudSearch offers fewer customization options and advanced features, which might be restrictive for complex search requirements.
  • Cost
    Although pricing can be competitive, the cost can quickly escalate with large datasets and high query volumes, and it may not be as cost-effective as other solutions depending on your usage patterns.
  • Less Community Support
    Amazon CloudSearch has a smaller community and fewer third-party plugins compared to more popular search engines like Elasticsearch, making it harder to find quick solutions and best practices through community support.
  • Performance
    In some scenarios, users have reported that Amazon CloudSearch can be slower in performance compared to other search engines, particularly for complex queries or large datasets.
  • Limited Offline Capabilities
    Because it's a managed service, there's limited control over offline access or local development environments. This can be a hindrance if you need to debug or test changes without affecting the live environment.

Redis videos

+ Add

Improve your Redis developer experience with RedisInsight, Redis Labs

More videos:

  • Review - What is Redis? | Why and When to use Redis? | Tech Primers
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

Amazon CloudSearch videos

+ Add

Getting Started with Amazon CloudSearch

More videos:

  • Review - Getting Started with Amazon CloudSearch: Product Tour Screencast

Category Popularity

0-100% (relative to Redis and Amazon CloudSearch)

Redis

Amazon CloudSearch

Databases
100 100%
Databases
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Redis and Amazon CloudSearch

Redis Reviews

Redis Alternative for App Performance | Gigaspaces
Redis offers a RESTful API for accessing data stored within its in-memory technology data structures. This API provides a simple and efficient way to interact with Redis, enabling developers to leverage its capabilities seamlessly in their applications. Developers also need to manage the Redis cached data lifecycle, it’s the application responsibility to store the data &...
Source: www.gigaspaces.com
Are Free, Open-Source Message Queues Right For You?
A notable challenge with Redis Streams is that it doesn't natively support distributed, horizontal scaling. Also, while Redis is famous for its speed and simplicity, managing and scaling a Redis installation may be complex for some users, particularly for persistent data workloads.
Source: blog.iron.io
Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
1. Redis: I'll start with Redis which I'd like to call the "original" key/value store (after memcached) because it is the oldest and most widely used of all. Being a long-time follower of Redis, I do know it's single-threaded (and uses io-threads since 6.0) and hence it achieves lesser throughput than the other stores listed above which are multi-threaded, at least to some...
Source: news.ycombinator.com
Memcached vs Redis - More Different Than You Would Expect
Remember when I wrote about how Redis was using malloc to assign memory? I lied. While Redis did use malloc at some point, these days Redis actually uses jemalloc. The reason for this is that jemalloc, while having lower peak performance has lower memory fragmentation helping to solve the framented memory issues that Redis experiences.
Source: engineering.kablamo.com.au
Top 15 Kafka Alternatives Popular In 2021
Redis is a known, open-source, in-memory data structure store that offers different data structures like lists, strings, hashes, sets, bitmaps, streams, geospatial indexes, etc. It is best utilized as a cache, memory broker, and cache. It has optional durability and inbuilt replication potential. It offers a great deal of availability through Redis Sentinel and Redis Cluster.
Source: www.spec-india.com

Amazon CloudSearch Reviews

Top 10 Site Search Software Tools & Plugins for 2022
Amazon CloudSearch comes with all the popular search features such as auto-complete, intelligent text processing, custom indexing, and geospatial search. It also supports 34 languages, which makes it an excellent solution for businesses that cater to an international audience or intend to expand globally.
Source: influencermarketinghub.com
Make Your WordPress Search Powerful with Algolia and 9 others
AWS CloudSearch is scalable and known for its high performance. Pricing is based on the usage and pays as you go.
Source: geekflare.com

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than Amazon CloudSearch. While we know about 216 links to Redis, we've tracked only 4 mentions of Amazon CloudSearch. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Redis mentions (216)

  • Finding Bigfoot with Async Generators + TypeScript
    Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / 13 days ago
  • Caching Isn’t Always the Answer – And Here’s Why
    Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 13 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / 27 days ago
  • Setup a Redis Cluster using Redis Stack
    Redis® Cluster is a fully distributed implementation with automated sharding capabilities (horizontal scaling capabilities), designed for high performance and linear scaling up to 1000 nodes. . - Source: dev.to / about 2 months ago
  • Modern Web Development Sucks? How PostgreSQL Can Replace Your Tech Stack
    Instead of spinning up Redis, use an unlogged table in PostgreSQL for fast, ephemeral storage. - Source: dev.to / 2 months ago
View more

Amazon CloudSearch mentions (4)

  • How does a large application's search functionality work? ELI5
    Personally, rather than trying to implement this functionality myself from scratch I would use something like Amazon CloudSearch that supports autocomplete suggestions for things that have been added to it. Source: almost 2 years ago
  • How Should I Build a Search Bar
    TL;DR: Dynamo is "bad" for searching. Use something else ( Elastic, CloudSearch ) if you don't know what you're doing. Source: about 3 years ago
  • Ask HN: Why is search on Amazon so bad?
    Maybe they use: 
      https://aws.amazon.com/cloudsearch/
    . - Source: Hacker News / over 3 years ago
  • Options for serverless search?
    There is also Amazon CloudSearch as a managed search service but it does seem kind of abandoned from the looks of its landing page. Source: over 3 years ago

What are some alternatives?

When comparing Redis and Amazon CloudSearch, you can also consider the following products

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Swiftype - The simplest way to add search to your website or application. Sign up for free.

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