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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. Redis vs hanna

Redis vs hanna

OverviewComparisonAlternatives

Overview

Redis
Redis
Stacks62.0K
Followers46.5K
Votes3.9K
GitHub Stars42
Forks6
hanna
hanna
Stacks0
Followers0
Votes0
GitHub Stars234
Forks40

Redis vs hanna: What are the differences?

<Write Introduction here>
  1. Data Structure Support: Redis only supports simple data structures like strings, lists, sets, and hashes, while Hanna provides support for more complex data structures such as trees, graphs, and hypergraphs.
  2. Persistence: Redis does not offer full ACID compliance and persistence is achieved through asynchronous replication and periodic snapshots, whereas Hanna ensures full ACID compliance and persistence through immediate disk writes for each operation.
  3. Scalability: Redis is typically used as a single-node database but can be scaled horizontally using Redis Cluster, while Hanna is designed to be distributed with automatic sharding and data partitioning for linear scalability.
  4. Programming Language Compatibility: Redis is mainly developed in C language with clients available in a wide range of languages, while Hanna is written in Erlang and supports integration with Erlang applications.
  5. Cluster Management: Redis Cluster relies on external tools for cluster management, such as Redis Sentinel, while Hanna has built-in cluster management capabilities for ease of deployment and monitoring.
  6. Replication Protocol: Redis uses its custom RESP protocol for replication, while Hanna uses the mature and widely adopted Distributed Erlang protocol for replicating data across nodes.
In Summary, Redis is primarily focused on simple key-value storage with some data structure support, while Hanna offers more complex data structures, full ACID compliance, distributed design, and built-in cluster management capabilities.

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Detailed Comparison

Redis
Redis
hanna
hanna

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

Hanna is an RDoc implemented in Haml, making its source clean and maintainable. It's built with simplicity, beauty and ease of browsing in mind.

Statistics
GitHub Stars
42
GitHub Stars
234
GitHub Forks
6
GitHub Forks
40
Stacks
62.0K
Stacks
0
Followers
46.5K
Followers
0
Votes
3.9K
Votes
0
Pros & Cons
Pros
  • 888
    Performance
  • 542
    Super fast
  • 514
    Ease of use
  • 444
    In-memory cache
  • 324
    Advanced key-value cache
Cons
  • 15
    Cannot query objects directly
  • 3
    No secondary indexes for non-numeric data types
  • 1
    No WAL
No community feedback yet

What are some alternatives to Redis, hanna?

Hazelcast

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Aerospike

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Apache Ignite

Apache Ignite

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

SAP HANA

SAP HANA

It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

VoltDB

VoltDB

VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

Tarantool

Tarantool

It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications

Azure Redis Cache

Azure Redis Cache

It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.

KeyDB

KeyDB

KeyDB is a fully open source database that aims to make use of all hardware resources. KeyDB makes it possible to breach boundaries often dictated by price and complexity.

LokiJS

LokiJS

LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

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