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  1. Stackups
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  3. Databases
  4. Databases
  5. Aerospike vs MongoDB

Aerospike vs MongoDB

OverviewDecisionsComparisonAlternatives

Overview

MongoDB
MongoDB
Stacks96.6K
Followers82.0K
Votes4.1K
GitHub Stars27.7K
Forks5.7K
Aerospike
Aerospike
Stacks200
Followers288
Votes48
GitHub Stars1.3K
Forks196

Aerospike vs MongoDB: What are the differences?

Introduction

This Markdown code provides a comparison between Aerospike and MongoDB, highlighting their key differences. It includes six specific differences that set them apart from each other.

  1. Data Model: Aerospike is a key-value store that allows flexible schema by supporting complex data types, lists, and maps within a record. On the other hand, MongoDB is a document-oriented database that stores data in JSON-like documents with a flexible schema and support for nested arrays and sub-documents.

  2. Scalability: Aerospike is specifically designed for high-performance and scalable operations, with automatic data partitioning across nodes and a built-in replication mechanism for high availability. MongoDB also supports horizontal scalability with sharding, but Aerospike is known for its better performance under heavy workloads.

  3. Consistency Model: Aerospike ensures strong consistency through its strong consistency level, meaning that all replicas will have the same value for a given key. In contrast, MongoDB provides eventual consistency by default, where updates may be propagated with some delay.

  4. Indexing: Aerospike employs a variety of indexing options, including primary key, secondary index, and even range queries within complex data structures. MongoDB, on the other hand, provides various indexing techniques like single-field index, compound index, multi-key index, and text index.

  5. Transactional Support: Aerospike has built-in support for ACID (Atomicity, Consistency, Isolation, Durability) transactions, making it suitable for highly transactional applications. MongoDB lacks full ACID transactions but offers atomicity and isolation at the document level through the use of multi-document transactions.

  6. Community and Ecosystem: MongoDB has a larger community and a more mature ecosystem, which translates into a broader range of available tools, libraries, and resources. Aerospike, although widely used in certain use cases, has a smaller community and a more specialized ecosystem.

In summary, Aerospike and MongoDB differ in terms of their data model, scalability, consistency model, indexing capabilities, transactional support, and community/ecosystem size. While Aerospike excels in high-performance scenarios with strong consistency and ACID transactions, MongoDB offers a more flexible schema, better community support, and a broader range of features.

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Advice on MongoDB, Aerospike

George
George

Student

Mar 18, 2020

Needs adviceonPostgreSQLPostgreSQLPythonPythonDjangoDjango

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Mike
Mike

Mar 20, 2020

Needs advice

We Have thousands of .pdf docs generated from the same form but with lots of variability. We need to extract data from open text and more important - from tables inside the docs. The output of Couchbase/Mongo will be one row per document for backend processing. ADOBE renders the tables in an unusable form.

241k views241k
Comments

Detailed Comparison

MongoDB
MongoDB
Aerospike
Aerospike

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

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.

Flexible data model, expressive query language, secondary indexes, replication, auto-sharding, in-place updates, aggregation, GridFS
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.
Statistics
GitHub Stars
27.7K
GitHub Stars
1.3K
GitHub Forks
5.7K
GitHub Forks
196
Stacks
96.6K
Stacks
200
Followers
82.0K
Followers
288
Votes
4.1K
Votes
48
Pros & Cons
Pros
  • 829
    Document-oriented storage
  • 594
    No sql
  • 554
    Ease of use
  • 465
    Fast
  • 410
    High performance
Cons
  • 6
    Very slowly for connected models that require joins
  • 3
    Not acid compliant
  • 2
    Proprietary query language
Pros
  • 16
    Ram and/or ssd persistence
  • 12
    Easy clustering support
  • 5
    Easy setup
  • 4
    Acid
  • 3
    Scale

What are some alternatives to MongoDB, Aerospike?

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.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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