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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. Aerospike vs MapDB

Aerospike vs MapDB

OverviewComparisonAlternatives

Overview

Aerospike
Aerospike
Stacks200
Followers288
Votes48
GitHub Stars1.3K
Forks196
MapDB
MapDB
Stacks8
Followers49
Votes0

Aerospike vs MapDB: What are the differences?

## Introduction
Aerospike and MapDB are both databases that serve different purposes and have their unique characteristics. Understanding the key differences between them can help in making an informed decision on which one to use for specific use cases.

1. **Data Model**: Aerospike is a distributed NoSQL database with a key-value data model, while MapDB is a Java library that provides embedded database functionality with support for key-value, B-Tree, and HTree data structures. This difference in data model makes Aerospike better suited for high-performance, large-scale distributed systems, whereas MapDB is more suitable for smaller applications or local storage.

2. **Consistency Model**: Aerospike offers strong consistency guarantees by default, while MapDB focuses on providing strong consistency for local data storage but offers eventual consistency for distributed data storage. This distinction makes Aerospike more suitable for applications with strict consistency requirements, such as financial transactions, while MapDB is more flexible for applications that can tolerate eventual consistency.

3. **Scalability**: Aerospike is designed for high scalability and can easily scale to handle large amounts of data and high traffic loads across multiple nodes in a cluster. On the other hand, MapDB is more limited in scalability due to its embedded nature and is better suited for single-node deployments or smaller-scale applications that do not require horizontal scaling.

4. **Persistence**: Aerospike supports both in-memory and on-disk storage options, providing flexibility in balancing performance and durability requirements. In contrast, MapDB primarily focuses on persistent storage, making it more suitable for applications that require data durability and consistency across system restarts or failures.

5. **Querying**: Aerospike offers a SQL-like query language called Aerospike Query Language (AQL) for easy data retrieval and manipulation, while MapDB primarily provides basic key-based retrieval and iteration functionalities. This difference makes Aerospike more suitable for applications that require complex querying capabilities, whereas MapDB is better suited for simple data storage and retrieval needs.

6. **Community and Ecosystem**: Aerospike has a larger community and ecosystem with enterprise-level support, extensive documentation, and robust tooling for monitoring, management, and integration with other systems. In comparison, MapDB has a smaller community and ecosystem primarily focused on Java developers and lacks the same level of enterprise support and tooling as Aerospike.

In Summary, understanding the key differences between Aerospike and MapDB can help in choosing the right database solution based on specific use cases and requirements.

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Detailed Comparison

Aerospike
Aerospike
MapDB
MapDB

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.

MapDB provides Java Maps, Sets, Lists, Queues and other collections backed by off-heap or on-disk storage. It is a hybrid between java collection framework and embedded database engine. It is free and open-source under Apache license.

99% of reads/writes complete in under 1 millisecond.;Predictable low latency at high throughput – second to none. Read the YCSB Benchmark.;The secret sauce? A thousand things done right. Server code in ‘C’ (not Java or Erlang) precisely tuned to avoid context switching and memory copies. Highly parallelized multi-threaded, multi-core, multi-cpu, multi-SSD execution.;Indexes are always stored in RAM. Pure RAM mode is backed by spinning disks. In hybrid mode, individual tables are stored in either RAM or flash.
Concurrency; Writing database; Code duplication and not invented here; Does not integrate with default tools and defacto standards; Did not follow test driven development; Not enough performance testing. ...
Statistics
GitHub Stars
1.3K
GitHub Stars
-
GitHub Forks
196
GitHub Forks
-
Stacks
200
Stacks
8
Followers
288
Followers
49
Votes
48
Votes
0
Pros & Cons
Pros
  • 16
    Ram and/or ssd persistence
  • 12
    Easy clustering support
  • 5
    Easy setup
  • 4
    Acid
  • 3
    Performance better than Redis
No community feedback yet
Integrations
No integrations available
Presto
Presto
Clever Cloud
Clever Cloud
SignalFx
SignalFx
Datadog
Datadog
OpsDash
OpsDash
Actionhero
Actionhero

What are some alternatives to Aerospike, MapDB?

Redis

Redis

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.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

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.

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