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Pixela VS Redis ™

Compare Pixela VS Redis and see what are their differences

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Pixela logo Pixela

Record and Track your habits or effort. All by API.

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
  • Pixela Landing page
    Landing page //
    2022-01-30
  • 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.

Pixela features and specs

  • User-Friendly Graph Creation
    Pixela allows users to create and manage graphs through a simple and intuitive API, which makes it easy for even non-developers to track their habits and activities visually.
  • Customizable
    Users can customize their graphs in terms of colors, units, and graph styles, enabling personalized tracking of various kinds of activities or habits.
  • No Coding Required for Basic Use
    Basic use of Pixela requires no coding skills, allowing users to start tracking their habits by simply using HTTP requests.
  • Free to Use
    Pixela is free to use, making it accessible for individuals and small startups or projects that wish to visualize data and habits without incurring extra costs.

Possible disadvantages of Pixela

  • Limited to Habit Tracking
    Pixela is mainly designed for habit tracking and might not provide as much flexibility or advanced features for other types of data visualization compared to more comprehensive analytics tools.
  • Requires Manual Data Entry
    Users need to manually log their activities via API requests, which may become tedious for those who want automation or are tracking a large amount of data.
  • Limited Integration
    While Pixela provides a basic API, its integration with other apps and services is limited compared to other platforms offering broader connectivity.
  • Graph Complexity
    For users looking to create complex graphs with extensive datasets, Pixela might not be the best fit due to its simplicity and focus on habit tracking.

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.

Analysis of Pixela

Overall verdict

  • Good

Why this product is good

  • Pixela is a web service that allows users to track and visualize their habits or activities through graphs. It is praised for its simplicity, versatility, and ease of use, making it a suitable tool for personal data tracking, goal setting, and habit formation. It supports customization through JSON and offers an API for more advanced integrations. The platform is often appreciated for its neat interface and the ability to effortlessly create visual representations of data without requiring deep technical knowledge.

Recommended for

  • Individuals looking to track personal habits
  • Users interested in goal setting and habit formation
  • Developers seeking a simple API for graphing data
  • Anyone looking for a tool to visualize daily activities

Pixela videos

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Redis videos

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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

Category Popularity

0-100% (relative to Pixela and Redis)

Pixela

Redis

Link Management
100 100%
Link Management
0% 0
Databases
0 0%
Databases
100% 100
URL Shortener
100 100%
URL Shortener
0% 0
NoSQL Databases
0 0%
NoSQL Databases
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 Pixela and Redis

Pixela Reviews

We have no reviews of Pixela yet.
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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

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than Pixela. While we know about 218 links to Redis, we've tracked only 4 mentions of Pixela. 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.

Pixela mentions (4)

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

What are some alternatives?

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

PixelMe - URL shortener for savvy marketers

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

Short.io - Short.io makes short links (vanity urls) on your own domain. Free signup, analytics and API. Chrome, slack, zapier and segment integrations.

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

Shorten.REST - A URL shortener API you can depend on

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

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