DBMS > Aerospike vs. MongoDB vs. OpenSearch vs. SingleStore

System Properties Comparison Aerospike vs. MongoDB vs. OpenSearch vs. SingleStore

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Editorial information provided by DB-Engines

Name

Description

Real-time database for speed, scale, and savings. Millisecond latency for mixed read/write workloads. Highly distributed. Proven strong consistency. Distributed ACID Transactions. Flash optimized for low cost of ownership and scalability. Aerospike Database is a shared-nothing, multi-threaded, multi-model data platform designed to operate efficiently on a cluster of server nodes, exploiting modern hardware and network technologies to drive reliably fast performance, at sub-millisecond speeds across petabytes of data.

One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type

Primary database model

Document store
Graph DBMS

leveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Vector DBMS

Document store

Search engine
Vector DBMS

Relational DBMS

Secondary database models

Spatial DBMS
Search engine

integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS

Time Series Collections introduced in Release 5.0
Vector DBMS

currently available in the MongoDB Atlas cloud service only

Vector DBMS

Document store
Spatial DBMS
Time Series DBMS
Vector DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	5.45
Rank	#58	Overall
	#10	Document stores
	#3	Graph DBMS
	#7	Key-value stores
	#2	Spatial DBMS
	#5	Vector DBMS

Score	402.51
Rank	#5	Overall
	#1	Document stores

Score	17.38
Rank	#32	Overall
	#4	Search engines
	#2	Vector DBMS

Score	3.69
Rank	#70	Overall
	#37	Relational DBMS

Website

aerospike.com

www.mongodb.com

github.com/opensearch-project
opensearch.org

www.singlestore.com

Technical documentation

aerospike.com/docs
docs.aerospike.com

www.mongodb.com/docs/manual

opensearch.org/docs/latest

docs.singlestore.com

Developer

Aerospike

MongoDB, Inc

The OpenSearch Software Foundation

SingleStore Inc.

Initial release

2012

2009

2021

2013

Current release

8.0, February 2025

7.0.5, January 2024

2.19, February 2025

8.5, January 2024

License

Commercial or Open Source

Open Source, Commercial

Apache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition available

Open Source

MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.

Open Source

Apache Version 2.0

commercial

free developer edition available

Cloud-based only

Only available as a cloud service

MongoDB available as DBaaS (MongoDB Atlas)

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Aerospike Cloud: aerospike.com/products/aerospike-cloud

MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.

STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.

Implementation language

C++

Java

C++, Go

Server operating systems

Linux

Linux
OS X
Solaris
Windows

All OS with a Java VM

Linux

64 bit version required

Data scheme

schema-free

Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.

schema-free

Flexible type definitions. Once a type is defined, it is persistent

yes

Typing

predefined data types such as float or date

yes

string, integer, double, decimal, boolean, date, object_id, geospatial

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All search fields are automatically indexed

yes

SQL

Support of SQL

via Trino Connector or JDBC driver

Read-only SQL queries via the MongoDB Atlas SQL Interface

SQL-like query language

yes

but no triggers and foreign keys

APIs and other access methods

JDBC
Proprietary protocol
REST
TinkerPop Gremlin

GraphQL
HTTP REST
Prisma
proprietary protocol using JSON

Java API
RESTful HTTP/JSON API

Cluster Management API

as HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC

Supported programming languages

.Net
C
C# (.NET)
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
PHP
Python
Ruby
Rust

Actionscript

unofficial driver
C
C#
C++
Clojure

unofficial driver
ColdFusion

unofficial driver
D

unofficial driver
Dart

unofficial driver
Delphi

unofficial driver
Erlang
Go
Groovy

unofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp

unofficial driver
Lua

unofficial driver
MatLab

unofficial driver
Perl
PHP
PowerShell

unofficial driver
Prolog

unofficial driver
Python
R

unofficial driver
Ruby
Rust
Scala
Smalltalk

unofficial driver
Swift

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

Bash
C
C#
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions

with Lua

JavaScript

yes

Triggers

yes

in MongoDB Atlas only

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

Auto-Sharding

Sharding

Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.

Sharding

hash partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication

yes

Source-replica replication

stores two copies of each physical data partition on two separate nodes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Aerospike Aggregation Framework is similar to Map/Reduce

yes

can define user-defined aggregate functions for map-reduce-style calculations

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency in cross-datacenter configuration and Immediate Strong Consistency in local cluster configuration. Also supports single cluster deployments with strong consistency across multiple AZs and Regions.

Eventual Consistency

can be individually decided for each read operation
Immediate Consistency

default behaviour

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Immediate Consistency

Foreign keys

Referential integrity

typically not used, however similar functionality with DBRef possible

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic Distributed ACID transactions execution of operations

Multi-document ACID Transactions with snapshot isolation

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

optional, enabled by default

yes

All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

In-memory storage engine introduced with MongoDB version 3.2

yes

User concepts

Access control

LDAP external authentication: aerospike.com/docs/server/operations/configure/security/ldap
Mutual TLS authentication (PKI auth): aerospike.com/docs/server/operations/configure/network/tls
Password authentication: aerospike.com/docs/server/operations/configure/security/access-control

with Enterprise Edition only
Role-Based Access Control (RBAC): aerospike.com/docs/graph/security/access-control
Access rights for users and roles

Access rights for users and roles

Fine grained access control via users, groups and roles

More information provided by the system vendor

Specific characteristics

Aerospike is an enterprise-class, NoSQL database solution delivering predictable...
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MongoDB provides an integrated suite of cloud database and data services to accelerate...
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Competitive advantages

Optimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
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Built around the flexible document data model and unified API, MongoDB is a developer...
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Typical application scenarios

Aerospike excels in mission-critical applications that have mixed read/write workloads...
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AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
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Key customers

Nielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
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ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
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Market metrics

Aerospike's combination of speed, scalability, and reliability delivers 10x performance...
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Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
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Licensing and pricing models

Subscription-based Enterprise Edition and free, open-source Community Edition
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MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
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