DBMS > Aerospike vs. Dragonfly vs. MongoDB vs. Titan

System Properties Comparison Aerospike vs. Dragonfly vs. MongoDB vs. Titan

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Editorial information provided by DB-Engines

Name

Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.

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.

A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance

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

Titan is a Graph DBMS optimized for distributed clusters.

Primary database model

Document store
Graph DBMS

leveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Vector DBMS

Key-value store

Document store

Graph 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

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	0.53
Rank	#244	Overall
	#35	Key-value stores

Score	402.51
Rank	#5	Overall
	#1	Document stores

Website

aerospike.com

github.com/dragonflydb/dragonfly
www.dragonflydb.io

www.mongodb.com

github.com/thinkaurelius/titan

Technical documentation

aerospike.com/docs
docs.aerospike.com

www.dragonflydb.io/docs

www.mongodb.com/docs/manual

github.com/thinkaurelius/titan/wiki

Developer

Aerospike

DragonflyDB team and community contributors

MongoDB, Inc

Aurelius, owned by DataStax

Initial release

2012

2023

2009

2012

Current release

8.0, February 2025

1.0, March 2023

7.0.5, 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

BSL 1.1

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 license, version 2.0

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 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.
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.

Implementation language

C++

Java

Server operating systems

Linux

Linux
OS X
Solaris
Windows

Linux
OS X
Unix
Windows

Data scheme

schema-free

scheme-free

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.

yes

Typing

predefined data types such as float or date

yes

strings, hashes, lists, sets, sorted sets, bit arrays

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

SQL

Support of SQL

via Trino Connector or JDBC driver

Read-only SQL queries via the MongoDB Atlas SQL Interface

APIs and other access methods

JDBC
Proprietary protocol
REST
TinkerPop Gremlin

Proprietary protocol

RESP - REdis Serialization Protocol

GraphQL
HTTP REST
Prisma
proprietary protocol using JSON

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

Supported programming languages

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

C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl

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

Clojure
Java
Python

Server-side scripts

Stored procedures

user defined functions

with Lua

Lua

JavaScript

yes

Triggers

publish/subscribe channels provide some trigger functionality

yes

in MongoDB Atlas only

yes

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.

yes

via pluggable storage backends

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Source-replica replication

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

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Aerospike Aggregation Framework is similar to Map/Reduce

yes

via Faunus, a graph analytics engine

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
Immediate Consistency

Foreign keys

Referential integrity

typically not used, however similar functionality with DBRef possible

yes

Relationships in graph

Transaction concepts

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

Atomic Distributed ACID transactions execution of operations

Atomic execution of command blocks and scripts

Multi-document ACID Transactions with snapshot isolation

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, strict serializability by the server

yes

Durability

Support for making data persistent

yes

optional, enabled by default

yes

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

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

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

Password-based authentication

Access rights for users and roles

User authentification and security via Rexster Graph Server

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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.