DBMS > Aerospike vs. Amazon DynamoDB vs. Machbase Neo vs. XTDB

System Properties Comparison Aerospike vs. Amazon DynamoDB vs. Machbase Neo vs. XTDB

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Editorial information provided by DB-Engines

Name

Description

Flash-optimized In-memory NoSQL Database

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

TimeSeries DBMS for AIoT and BigData

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Document store
Graph DBMS

leveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Vector DBMS

Document store
Key-value store

Time Series DBMS

Document store

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

Score	5.32
Rank	#62	Overall
	#10	Document stores
	#3	Graph DBMS
	#7	Key-value stores
	#2	Spatial DBMS
	#3	Vector DBMS

Score	72.39
Rank	#17	Overall
	#3	Document stores
	#2	Key-value stores

Score	0.06
Rank	#352	Overall
	#33	Time Series DBMS

Score	0.15
Rank	#327	Overall
	#46	Document stores

Website

aerospike.com

aws.amazon.com/dynamodb

machbase.com

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

docs.aerospike.com

docs.aws.amazon.com/dynamodb

machbase.com/dbms

www.xtdb.com/docs

Developer

Aerospike

Amazon

Machbase

Juxt Ltd.

Initial release

2012

2013

2019

Current release

7.1, May 2024

V8.0, August 2023

1.19, September 2021

License

Commercial or Open Source

Open Source

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

commercial

free tier for a limited amount of database operations

commercial

free test version available

Open Source

MIT License

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Clojure

Server operating systems

Linux

hosted

Linux
macOS
Windows

All OS with a Java 8 (and higher) VM
Linux

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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

SQL-like query language

limited SQL, making use of Apache Calcite

APIs and other access methods

JDBC
Proprietary protocol
TinkerPop Gremlin

RESTful HTTP API

gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC

HTTP REST
JDBC

Supported programming languages

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

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

Clojure
Java

Server-side scripts

Stored procedures

user defined functions

with Lua

Triggers

yes

by integration with AWS Lambda

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

yes

selectable replication factor

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Aerospike Aggregation Framework is similar to Map/Reduce

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configuration

Eventual Consistency
Immediate Consistency

can be specified for read operations

Foreign keys

Referential integrity

Transaction concepts

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

Atomic execution of operations

ACID

ACID across one or more tables within a single AWS account and region

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

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

yes

volatile and lookup table

User concepts

Access control

Access rights for users and roles

with Enterprise Edition only

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

simple password-based access control

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