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What is KrakenD?

Designed for optimal performance and effective resource management, KrakenD is capable of handling an impressive 70,000 requests per second with just a single instance. Its stateless architecture promotes effortless scalability, eliminating the challenges associated with database maintenance or node synchronization. When it comes to features, KrakenD excels as a versatile solution. It supports a variety of protocols and API specifications, providing detailed access control, data transformation, and caching options. An exceptional aspect of its functionality is the Backend For Frontend pattern, which harmonizes multiple API requests into a unified response, thereby enhancing the client experience. On the security side, KrakenD adheres to OWASP standards and is agnostic to data types, facilitating compliance with various regulations. Its user-friendly nature is bolstered by a declarative configuration and seamless integration with third-party tools. Furthermore, with its community-driven open-source edition and clear pricing structure, KrakenD stands out as the preferred API Gateway for enterprises that prioritize both performance and scalability without compromise, making it a vital asset in today's digital landscape.

What is Kraken?

Kraken is tailored to meet the needs of a wide range of users, from analysts to data scientists. This intuitive, no-code automated machine learning platform simplifies the intricate world of data science. By streamlining critical processes such as data preparation, cleaning, algorithm selection, model training, and deployment, Kraken makes these tasks accessible to individuals across various skill levels. Analysts and engineers will particularly appreciate how their existing data analysis skills allow them to quickly adapt to using Kraken. The platform features a user-friendly interface and integrated SONAR© training, which enables users to transition into citizen data scientists with ease. For experienced data scientists, Kraken provides advanced functionalities that boost both speed and workflow efficiency. Whether your work involves Excel, flat files, or requires on-the-fly analyses, the easy drag-and-drop CSV upload and Amazon S3 integration make building models a breeze. Furthermore, Kraken’s Data Connectors allow for smooth integration with your favorite data warehouses, business intelligence platforms, and cloud storage services, creating a holistic data science environment. With Kraken, users of all experience levels can effortlessly tap into the capabilities of machine learning, fostering a collaborative and innovative atmosphere for all.

Media

Media

Integrations Supported

Amazon Simple Queue Service (SQS)
Apache Kafka
Azure Marketplace
Azure Service Bus
Elasticsearch
InfluxDB
Logstash
New Relic
Okta
Postman
Prometheus
RabbitMQ
SSOJet
Skycloak

Integrations Supported

Looker
SQL Server
Snowflake
Tableau
Tradoshi

API Availability

API Availability

Pricing Information

Open-source, Free to use, Community Edition available.
Commercial Edition available, including premium features and vendor support.
Free Version
Free Trial Offered?

Pricing Information

$100 per month
Free Trial Offered?

Supported Platforms

SaaS
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars

Training Options

Not specified

Company Facts

Organization Name

KrakenD

Date Founded

2017

Company Location

Spain

Company Website

www.krakend.io

Company Facts

Organization Name

Big Squid

Date Founded

2009

Company Location

United States

Company Website

www.bigsquid.com/kraken-platform

Categories and Features

API Design

Not specified

API Gateways

Not specified

API Management

API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control

API Monetization

Not specified

API Monitoring

Not specified

API Security

Not specified

API Testing

Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing

Categories and Features

AI/ML Model Training

Not specified

Big Data

Data Cleansing
Data Visualization
Predictive Analytics

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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