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H2 Database Engine VS Redis

Compare H2 Database Engine VS Redis and see what are their differences

H2 Database Engine logo H2 Database Engine

H2 is a relational database management system written in Java.

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
  • H2 Database Engine 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.

H2 Database Engine features and specs

  • Lightweight
    H2 is a lightweight database, providing a small footprint which makes it suitable for applications where resources are limited.
  • Embedded Mode
    It can run in embedded mode, allowing it to be integrated directly into Java applications without the need for a separate database server.
  • Fast Performance
    H2 offers high-performance operations, especially for read and write activities, due to its efficient management of resources.
  • In-Memory Database
    H2 supports in-memory databases, which are ideal for fast temporary storage and testing scenarios.
  • SQL Compatibility
    H2 is SQL-compliant and supports a large subset of SQL standards, which makes it versatile for many types of applications.
  • Web Console
    H2 offers a convenient web-based console for running SQL queries and managing the database.
  • Open Source
    H2 is open-source, allowing developers to use and modify it without licensing costs.

Possible disadvantages of H2 Database Engine

  • Limited Scalability
    H2 is not designed for high scalability and may not handle very large databases as efficiently as some other systems.
  • Single User for Embedded
    In embedded mode, it generally supports a single user connection at a time, which can be a limitation for multi-user applications.
  • Data Persistence
    While it offers disk-based storage, H2 may not be as robust as other databases in terms of long-term data persistence and durability.
  • Security Features
    H2's security features are not as comprehensive as those in more established enterprise database systems.
  • Community and Support
    Being a niche database compared to giants like MySQL or PostgreSQL, it has a smaller community and less extensive support ecosystem.

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.

H2 Database Engine videos

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Redis videos

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 H2 Database Engine and Redis)
NoSQL Databases
4 4%
96% 96
Databases
4 4%
96% 96
Relational Databases
100 100%
0% 0
Key-Value Database
2 2%
98% 98

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Reviews

These are some of the external sources and on-site user reviews we've used to compare H2 Database Engine and Redis

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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 H2 Database Engine. While we know about 216 links to Redis, we've tracked only 2 mentions of H2 Database Engine. 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.

H2 Database Engine mentions (2)

  • Help with databases
    Not sure of your use case, maybe you could use an embedded database (ie h2). Source: over 3 years ago
  • How to mock a database connection in Java?
    There are in-memory databases such as H2 which you can use for testing that is just a library you import. However, syntax can vary between databases. So it's only really appropriate if you're also using something like Hibernate which abstracts away a lot of the differences. 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 / 1 day 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 / 1 day 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 / 14 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 1 month 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 / about 2 months ago
View more

What are some alternatives?

When comparing H2 Database Engine and Redis, you can also consider the following products

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

SQLite - SQLite Home Page

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

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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

Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.