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Redis VS KeywordTool.io

Compare Redis VS KeywordTool.io and see what are their differences

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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.

KeywordTool.io logo KeywordTool.io

KeywordTool.io is the best FREE alternative to Google Keyword Planner and Ubersuggest. It uses Google's autocomplete feature to get over 750+ long-tail keywords for any given query.
  • 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.

  • KeywordTool.io Landing page
    Landing page //
    2022-10-14

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.

KeywordTool.io features and specs

  • Ease of Use
    KeywordTool.io features a user-friendly interface that makes it simple for beginners and experts alike to perform keyword research.
  • Multiple Platforms
    It supports multiple platforms including Google, YouTube, Bing, Amazon, and more, allowing users to gather keywords from various sources.
  • Keyword Suggestions
    The tool provides extensive keyword suggestions, enabling users to uncover long-tail keywords that might be missed by other tools.
  • Localization
    It offers keyword research for different countries and languages, making it versatile for global SEO campaigns.
  • Export Feature
    Users can easily export their keyword lists into CSV format for further analysis and tracking.

Possible disadvantages of KeywordTool.io

  • Free Version Limitations
    The free version has limited features and does not provide complete data, which can restrict its usefulness for in-depth research.
  • Pricing
    The pricing plans can be relatively high compared to other keyword research tools, which might be a barrier for small businesses or individual users.
  • Data Depth
    The tool may not offer as much in-depth data on search volume, competition, and trends compared to more comprehensive tools like Ahrefs or SEMrush.
  • Customer Support
    Some users report that the customer support could be more responsive and helpful, which can be a drawback when encountering issues.
  • No Backlink Analysis
    KeywordTool.io primarily focuses on keyword research and does not offer backlink analysis, which is a crucial aspect of SEO for many users.

Analysis of KeywordTool.io

Overall verdict

  • KeywordTool.io is a reliable and efficient tool for keyword research, particularly for those who need quick, diverse, and relevant keyword suggestions based on Google Autocomplete. Its ability to generate a broad list of keywords makes it a good choice for marketers and content creators looking to enhance their online visibility.

Why this product is good

  • KeywordTool.io is regarded as a useful tool for generating keyword ideas by leveraging Google Autocomplete. It's appreciated for its ease of use and ability to provide a large variety of keyword suggestions for SEO, content creation, and PPC campaigns. The tool offers country and language-specific keyword ideas and supports multiple platforms like Google, YouTube, Bing, Amazon, Instagram, and more.

Recommended for

    This tool is recommended for digital marketers, SEO specialists, content creators, bloggers, and PPC advertisers who are looking for a quick and efficient way to brainstorm keyword ideas and gain insights into search trends across multiple platforms.

Redis videos

What is Redis? | Why and When to use Redis? | Tech Primers

More videos:

  • Review - Improve your Redis developer experience with RedisInsight, Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

KeywordTool.io videos

Keywordtool.io Review: Best Keyword Research Tool in SEO

More videos:

  • Review - KeywordTool.io Review | An Alternative Keyword Research Tool [CC]

Category Popularity

0-100% (relative to Redis and KeywordTool.io)
Databases
100 100%
0% 0
SEO Tools
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
SEO
0 0%
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 KeywordTool.io

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 &...
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...
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.
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.

KeywordTool.io Reviews

We have no reviews of KeywordTool.io yet.
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Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than KeywordTool.io. While we know about 218 links to Redis, we've tracked only 16 mentions of KeywordTool.io. 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 (218)

  • Cache Invalidation: The Silent Performance Killer
    Picture this: you've just built a snappy web app, and you're feeling pretty good about it. You've added Redis to cache frequently accessed data, and your app is flying—pages load in milliseconds, users are happy, and you're a rockstar. But then, a user updates their profile, and… oops. The app still shows their old info. Or worse, a new blog post doesn't appear on the homepage. What's going on? Welcome to the... - Source: dev.to / 29 days ago
  • Feature Comparison: Reliable Queue vs. Valkey and Redis Stream
    Valkey and Redis streams are data structures that act like append-only logs with some added features. Redisson PRO, the Valkey and Redis client for Java developers, improves on this concept with its Reliable Queue feature. - Source: dev.to / about 1 month ago
  • 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 / about 2 months 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 / about 2 months 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 / 2 months ago
View more

KeywordTool.io mentions (16)

  • 120 Blog-Posts: One gets 83% of the search traffic (3k/month). What now?
    Thank you! At that time I used ahrefs but I think in my situation it is too expensive for me rn (since my SEO "casestudy" which got a real business for me, I got 3 clients for SEO, so wanna grow a lil bit and than buy ahrefs). So I use: - Google Keywordplanner, Trends and Google itself - ChatGPT (Webpilot Plugin) - keywordtool.io (only free, not paid) - ahrefs keyword Generator - other Blogs and Websites in... Source: almost 2 years ago
  • API Keyword service that can return search volume?
    I've checked https://keywordtool.io/ but 50 API Requests Per Day for their most expensive plan is a deal breaker, it needs to be in the thousands at least. Source: about 2 years ago
  • How to get a CPC of over 50 USD on YouTube? Is it even possible?
    Two days ago I had a CPC of over 33 USD I got only 300 views yet Made a total of 1.92 USD that day which made me wonder how can I get a CPC of over 50 USD. Saw an article on medium guy who said he made 20k USD with only 750 k views and claimed to have over 100 USD CPC is that even possible? Now here is the strange part I used keywordtool.io to search for my main target keyword which is Reddit and it said my CPC... Source: over 2 years ago
  • Reverse Engineering - HELP
    How do sites like this calculate the various values? Source: over 2 years ago
  • 10 Tips on How to Write a Great SEO-Friendly Blog Post
    Use a keyword research tool first. You may learn more about what people are searching for and how popular those questions are by visiting websites like Keyword Tool, Google Keyword Planner, or Ubersuggest. Source: over 2 years ago
View more

What are some alternatives?

When comparing Redis and KeywordTool.io, you can also consider the following products

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

Ahrefs - Ahrefs is a toolset for SEO and marketing. We have tools for backlink research, organic traffic research, keyword research, content marketing & more. Give Ahrefs a try!

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

Moz - Backed by industry-leading data and the largest community of SEOs on the planet, Moz builds tools that make inbound marketing easy.

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

Keywords Everywhere - Free browser add-on for keyword volume, CPC & competition