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RRDTool VS Redis

Compare RRDTool VS Redis and see what are their differences

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RRDTool logo RRDTool

High performance data logging and graphing system for time series data

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
  • RRDTool Landing page
    Landing page //
    2018-09-30
  • 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.

RRDTool features and specs

  • Efficient Data Storage
    RRDTool uses a round-robin database structure, which ensures a constant disk footprint by overwriting old data points, making it space efficient.
  • Time Series Data Visualization
    It provides robust graphing capabilities for time series data, making it useful for monitoring trends and patterns over time.
  • Open Source
    Being open-source, RRDTool can be used and modified freely, offering flexibility and customization options to fit specific needs.
  • Built-in Aggregation
    RRDTool automatically consolidates data over time, reducing the need for manual computation and maintaining performance as data scales.
  • Broad Integration
    It is widely supported and can be integrated easily with other tools and systems, such as MRTG and Cacti, enhancing its functionality.

Possible disadvantages of RRDTool

  • Steep Learning Curve
    The tool can be difficult to learn for new users due to its complex command-line interface and diverse set of options.
  • Limited Data Flexibility
    Once a database is created, its size and structure are fixed, meaning changes require a new database setup and could result in data loss.
  • Requires Manual Setup
    There is no automatic data import or setup, requiring users to define configurations and scripts manually, which can be time-consuming.
  • Outdated Interfaces
    The graphical interfaces can appear outdated compared to more modern software, which may not meet current user interface expectations.
  • Performance Limitations
    RRDTool may face performance constraints when dealing with very high-frequency data updates, as it is optimized for a consistent update interval.

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.

RRDTool videos

Cacti - The RRDTool-based graphing solution

More videos:

  • Review - Building Network Monitoring Systems with RRDtool

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

Category Popularity

0-100% (relative to RRDTool and Redis)
Monitoring Tools
100 100%
0% 0
Databases
1 1%
99% 99
Time Series Database
100 100%
0% 0
NoSQL Databases
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 RRDTool and Redis

RRDTool Reviews

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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 &...
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.

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than RRDTool. While we know about 216 links to Redis, we've tracked only 3 mentions of RRDTool. 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.

RRDTool mentions (3)

  • Seeing through hardware counters: a journey to threefold performance increase
    For anyone interested in how the graphs were made: https://oss.oetiker.ch/rrdtool/ Happy to see people still using RRD after all these years. - Source: Hacker News / over 2 years ago
  • One of the longest standing soundness holes in Rust -- Diving Deep: implied bounds and variance
    (I actually implemented the firmware for this... Using the Arduino port for ESP8266 because I was impatient, but discovered that either my DHT11 modules are junk or I'm misusing them, because the humidity measurement drifts as they keep running. I need to write the Rust+rrdtool app meant to receive the reports and then do some comparative tests between the DHT11 and some BME280s, and between the current firmware... Source: over 3 years ago
  • Arizona in October is solar bliss
    Nice! This is giving me some ideas. Here's what my old school rrdtool-based system looks like:. Source: over 3 years ago

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 / 11 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 / 11 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 / 24 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

What are some alternatives?

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

TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.

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

OpenTSDB - OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase.

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

Spanning - Spanning provides data backup and recovery solutions for companies running cloud applications.

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