DBMS > Aerospike vs. Couchbase vs. Oracle Rdb vs. TimesTen vs. Vertica

System Properties Comparison Aerospike vs. Couchbase vs. Oracle Rdb vs. TimesTen vs. Vertica

Editorial information provided by DB-Engines

Name

Description

Flash-optimized In-memory NoSQL Database

A distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile database

An in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.

Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.

Primary database model

Document store
Graph DBMS

leveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Vector DBMS

Document store

Relational DBMS

Column oriented

Secondary database models

Key-value store

originating from the former Membase product and supporting the Memcached protocol
Spatial DBMS

using the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS

Spatial DBMS
Time Series DBMS

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

Score	5.16
Rank	#63	Overall
	#10	Document stores
	#3	Graph DBMS
	#7	Key-value stores
	#2	Spatial DBMS
	#2	Vector DBMS

Score	16.74
Rank	#33	Overall
	#5	Document stores

Score	1.04
Rank	#184	Overall
	#84	Relational DBMS

Score	1.26
Rank	#164	Overall
	#75	Relational DBMS

Score	9.62
Rank	#42	Overall
	#26	Relational DBMS

Website

aerospike.com

www.couchbase.com

www.oracle.com/database/technologies/related/rdb.html

www.oracle.com/database/technologies/related/timesten.html

www.vertica.com

Technical documentation

docs.aerospike.com

docs.couchbase.com

www.oracle.com/database/technologies/related/rdb-doc.html

docs.oracle.com/en/database/other-databases/timesten/index.html

vertica.com/documentation

Social network pages

Developer

Aerospike

Couchbase, Inc.

Oracle, originally developed by Digital Equipment Corporation (DEC)

Oracle

originally founded in HP Labs it was acquired by Oracle in 2005

OpenText

previously Micro Focus and Hewlett Packard

Initial release

2012

2011

1984

1998

2005

Current release

7.1, May 2024

Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023

7.4.1.1, 2021

Release 22.1

12.0.3, January 2023

License

Commercial or Open Source

Open Source

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

Open Source

Business Source License (BSL 1.1); Commercial licenses also available

commercial

Limited community edition free

Cloud-based only

Only available as a cloud service

on-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C, C++, Go and Erlang

C++

Server operating systems

Linux

Linux
OS X
Windows

HP Open VMS

IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64

Linux

Data scheme

schema-free

Flexible Schema (defined schema, partial schema, schema free)

yes

Yes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.

Typing

predefined data types such as float or date

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

No Indexes Required. Different internal optimization strategy, but same functionality included.

SQL

Support of SQL

SQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use cases

yes

Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.

APIs and other access methods

JDBC
Proprietary protocol
TinkerPop Gremlin

CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data

ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC

ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL

character-based, interactive, front-end utility

Supported programming languages

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

.Net
C
Go
Java
JavaScript

Node.js
Kotlin
PHP
Python
Ruby
Scala

C
C++
Java
Node.js
PL/SQL
Python

C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R

Server-side scripts

Stored procedures

user defined functions

with Lua

Functions and timers in JavaScript and UDFs in Java, Python, SQL++

PL/SQL

yes, PostgreSQL PL/pgSQL, with minor differences

Triggers

yes

via the TAP protocol

yes, called Custom Alerts

Partitioning methods

Methods for storing different data on different nodes

Sharding

Automatic Sharding

none

horizontal partitioning, hierarchical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-source replication

including cross data center replication
Source-replica replication

Multi-source replication
Source-replica replication

Multi-source replication

One, or more copies of data replicated across nodes, or object-store used for repository.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Aerospike Aggregation Framework is similar to Map/Reduce

yes

Bi-directional Spark integration

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

selectable on a per-operation basis

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic execution of operations

ACID

yes, on a single node

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by means of logfiles and checkpoints

yes

In-memory capabilities

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

yes

Ephemeral buckets

yes

User concepts

Access control

Access rights for users and roles

with Enterprise Edition only

User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.

fine grained access rights according to SQL-standard

fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

More information provided by the system vendor

Specific characteristics

Aerospike is an enterprise-class, NoSQL database solution delivering predictable...
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Competitive advantages

Optimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
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Typical application scenarios

Aerospike excels in mission-critical applications that have mixed read/write workloads...
» more

Key customers

Nielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more

Market metrics

Aerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more

Licensing and pricing models

Subscription-based Enterprise Edition and free, open-source Community Edition
» more

News

Aerospike Year-over-Year Recurring Revenue Soars by 51% as Demand for AI Rises
4 September 2024

Aerospike Named to Inc. 5000 List of Fastest-Growing Companies in America for Third Consecutive Year
20 August 2024

BSV Association and Aerospike Achieve 100 Billion BSV Blockchain Transactions Per Day on Teranode
30 July 2024

Aerospike Appoints Venkatesh Guntur as Country Head for Southeast Asia
25 June 2024

Aerospike, AWS, Google, Glean, and other Industry Leaders Speaking at Real-time Data Summit 2024
5 June 2024

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