DBMS > IBM Cloudant vs. Pinecone vs. ToroDB vs. Trafodion vs. Warp 10

System Properties Comparison IBM Cloudant vs. Pinecone vs. ToroDB vs. Trafodion vs. Warp 10

Editorial information provided by DB-Engines

Name

ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.

Description

Database as a Service offering based on Apache CouchDB

A managed, cloud-native vector database

A MongoDB-compatible JSON document store, built on top of PostgreSQL

Transactional SQL-on-Hadoop DBMS

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

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

Score	2.64
Rank	#101	Overall
	#19	Document stores

Score	3.09
Rank	#84	Overall
	#4	Vector DBMS

Score	0.06
Rank	#353	Overall
	#34	Time Series DBMS

Website

www.ibm.com/products/cloudant

www.pinecone.io

github.com/torodb/server

trafodion.apache.org

www.warp10.io

Technical documentation

cloud.ibm.com/docs/Cloudant

docs.pinecone.io/docs/overview

trafodion.apache.org/documentation.html

www.warp10.io/content/02_Getting_started

Developer

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Pinecone Systems, Inc

8Kdata

Apache Software Foundation, originally developed by HP

SenX

Initial release

2010

2019

2016

2014

2015

Current release

2.3.0, February 2019

License

Commercial or Open Source

commercial

Open Source

AGPL-V3

Open Source

Apache 2.0

Open Source

Apache License 2.0

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

Erlang

Java

C++, Java

Java

Server operating systems

hosted

All OS with a Java 7 VM

Linux

Linux
OS X
Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

String, Number, Boolean

yes

string, integer, double, boolean, date, object_id

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

yes

APIs and other access methods

RESTful HTTP/JSON API

RESTful HTTP API

ADO.NET
JDBC
ODBC

HTTP API
Jupyter
WebSocket

Supported programming languages

C#
Java
JavaScript
Objective-C
PHP
Ruby

Python

All languages supporting JDBC/ODBC/ADO.Net

Server-side scripts

Stored procedures

View functions (Map-Reduce) in JavaScript

Java Stored Procedures

yes

WarpScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Source-replica replication

yes, via HBase

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via user defined functions and HBase

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

yes

Transaction concepts

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

atomic operations within a document possible

ACID

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users can be defined per database

Access rights for users and roles

fine grained access rights according to SQL-standard

Mandatory use of cryptographic tokens, containing fine-grained authorizations

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

IBM Code Engine and IBM Cloudant: Serverless Data and Infrastructure
16 August 2021, ibm.com

IBM Cloud Data Services Newsletter
22 July 2020, ibm.com

Truck Tracker: An IoT Pattern Using IBM Cloud Services
6 January 2022, ibm.com

Introducing the IBM Cloud Developer Console
16 March 2017, ibm.com

Automate Hybrid Cloud Infrastructure Provisioning with Terraform and Ansible
9 February 2023, ibm.com

provided by Google News

Pinecone serverless goes multicloud as vector database market heats up
27 August 2024, VentureBeat

Using the Pinecone vector database in .NET
12 September 2024, InfoWorld

Pinecone launches serverless vector database on Azure, GCP
27 August 2024, TechTarget

Pinecone vector database available on AWS, Azure, and Google clouds
27 August 2024, Blocks & Files

Pinecone launches serverless edition of its vector database on AWS
21 May 2024, SiliconANGLE News

provided by Google News

Apache Software Foundation Releases its 2019 Fiscal Year Report
17 August 2019, Open Source For You

Low-latency, distributed database architectures are critical for emerging fog applications
7 April 2022, Embedded Computing Design

provided by Google News

Time Series Databases Software market latest trends, CAGR, and forecast till 2026 | eSherpa Market Reports
13 April 2020, openPR

Launched Just A Year Ago, Open-Source Scality S3 Server Gains Extraordinary Momentum As It Simplifies The Life Of Developers
28 June 2017, PR Newswire

provided by Google News

Share this page