memcached vs Hazelcast

Professional comparison and analysis to help you choose the right software solution for your needs. Compare features, pricing, pros & cons, and make an informed decision.

memcached icon
memcached
Hazelcast icon
Hazelcast

Expert Analysis & Comparison

Struggling to choose between memcached and Hazelcast? Both products offer unique advantages, making it a tough decision.

memcached is a Network & Admin solution with tags like caching, memory, performance.

It boasts features such as In-memory key-value store, Distributed architecture, Simple protocol, Horizontal scalability and pros including Very fast data lookup, Reduces database load, Improves overall application performance.

On the other hand, Hazelcast is a Development product tagged with caching, processing-streams, clustering.

Its standout features include Distributed in-memory data store, Low latency data access, Automatic sharding and rebalancing, ACID transactions, Querying and aggregation, Event journaling, Multi-datacenter replication, Web session clustering, Continuous query, Machine learning, and it shines with pros like Fast performance, Easy scalability, High availability, Flexible deployment options, Open source, Rich ecosystem.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Why Compare memcached and Hazelcast?

When evaluating memcached versus Hazelcast, both solutions serve different needs within the network & admin ecosystem. This comparison helps determine which solution aligns with your specific requirements and technical approach.

Market Position & Industry Recognition

memcached and Hazelcast have established themselves in the network & admin market. Key areas include caching, memory, performance.

Technical Architecture & Implementation

The architectural differences between memcached and Hazelcast significantly impact implementation and maintenance approaches. Related technologies include caching, memory, performance.

Integration & Ecosystem

Both solutions integrate with various tools and platforms. Common integration points include caching, memory and caching, processing-streams.

Decision Framework

Consider your technical requirements, team expertise, and integration needs when choosing between memcached and Hazelcast. You might also explore caching, memory, performance for alternative approaches.

Feature memcached Hazelcast
Overall Score N/A N/A
Primary Category Network & Admin Development
Target Users Developers, QA Engineers QA Teams, Non-technical Users
Deployment Self-hosted, Cloud Cloud-based, SaaS
Learning Curve Moderate to Steep Easy to Moderate

Product Overview

memcached
memcached

Description: Memcached is an open source, high-performance distributed memory object caching system. It is used to speed up dynamic web applications by alleviating database load for reading/writing frequently accessed data.

Type: Open Source Test Automation Framework

Founded: 2011

Primary Use: Mobile app testing automation

Supported Platforms: iOS, Android, Windows

Hazelcast
Hazelcast

Description: Hazelcast is an open source in-memory data grid that enables distribution of data and computation across servers for scalability, speed, and resilience. It is commonly used for caching, processing streams, and clustering.

Type: Cloud-based Test Automation Platform

Founded: 2015

Primary Use: Web, mobile, and API testing

Supported Platforms: Web, iOS, Android, API

Key Features Comparison

memcached
memcached Features
  • In-memory key-value store
  • Distributed architecture
  • Simple protocol
  • Horizontal scalability
Hazelcast
Hazelcast Features
  • Distributed in-memory data store
  • Low latency data access
  • Automatic sharding and rebalancing
  • ACID transactions
  • Querying and aggregation
  • Event journaling
  • Multi-datacenter replication
  • Web session clustering
  • Continuous query
  • Machine learning

Pros & Cons Analysis

memcached
memcached
Pros
  • Very fast data lookup
  • Reduces database load
  • Improves overall application performance
Cons
  • Data loss on server restart
  • Additional system complexity
  • Requires application code changes
Hazelcast
Hazelcast
Pros
  • Fast performance
  • Easy scalability
  • High availability
  • Flexible deployment options
  • Open source
  • Rich ecosystem
Cons
  • Complex configuration
  • Steep learning curve
  • No visual interface

Pricing Comparison

memcached
memcached
  • Open Source
Hazelcast
Hazelcast
  • Open Source
  • Enterprise Edition (Subscription)

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