DBMS > Amazon Redshift vs. Percona Server for MongoDB vs. Pinecone vs. TerminusDB

System Properties Comparison Amazon Redshift vs. Percona Server for MongoDB vs. Pinecone vs. TerminusDB

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

A drop-in replacement for MongoDB Community Edition with enterprise-grade features.

A managed, cloud-native vector database

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Primary database model

Secondary database models

Document store
RDF store

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

Score	16.88
Rank	#35	Overall
	#22	Relational DBMS

Score	0.60
Rank	#246	Overall
	#39	Document stores

Score	3.23
Rank	#92	Overall
	#2	Vector DBMS

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Website

aws.amazon.com/redshift

www.percona.com/mongodb/software/percona-server-for-mongodb

www.pinecone.io

terminusdb.com

Technical documentation

docs.aws.amazon.com/redshift

docs.percona.com/percona-distribution-for-mongodb

docs.pinecone.io/docs/overview

terminusdb.github.io/terminusdb/#

Developer

Amazon (based on PostgreSQL)

Percona

Pinecone Systems, Inc

DataChemist Ltd.

Initial release

2012

2015

2019

2018

Current release

3.4.10-2.10, November 2017

11.0.0, January 2023

License

Commercial or Open Source

commercial

Open Source

GPL Version 2

commercial

Open Source

GPL V3

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

C++

Prolog, Rust

Server operating systems

hosted

Linux

hosted

Linux

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

String, Number, Boolean

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

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

SQL-like query language (WOQL)

APIs and other access methods

JDBC
ODBC

proprietary protocol using JSON

RESTful HTTP API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

All languages supporting JDBC/ODBC

Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk

Python

JavaScript
Python

Server-side scripts

Stored procedures

user defined functions

in Python

JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

informational only, not enforced by the system

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory journaling

In-memory capabilities

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

yes

via In-Memory Engine

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users and roles

Role-based access control

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