Average Ratings 0 Ratings
Average Ratings 76 Ratings
Description
Kraken caters to a wide range of users, from analysts to data scientists, by providing a user-friendly, no-code automated machine learning platform. It is designed to streamline and automate various data science processes, including data preparation, cleaning, algorithm selection, model training, and deployment. With a focus on making these tasks accessible, Kraken is particularly beneficial for analysts and engineers who may have some experience in data analysis. The platform’s intuitive, no-code interface and integrated SONAR© training empower users to evolve into citizen data scientists effortlessly. For data scientists, advanced functionalities enhance productivity and efficiency. Whether your routine involves using Excel or flat files for reporting or conducting ad-hoc analysis, Kraken simplifies the model-building process with features like drag-and-drop CSV uploads and an Amazon S3 connector. Additionally, the Data Connectors in Kraken enable seamless integration with various data warehouses, business intelligence tools, and cloud storage solutions, ensuring that users can work with their preferred data sources effortlessly. This versatility makes Kraken an indispensable tool for anyone looking to leverage machine learning without requiring extensive coding knowledge.
Description
Engineered for peak performance and efficient resource use, KrakenD can manage a staggering 70k requests per second on just one instance. Its stateless build ensures hassle-free scalability, sidelining complications like database upkeep or node synchronization.
In terms of features, KrakenD is a jack-of-all-trades. It accommodates multiple protocols and API standards, offering granular access control, data shaping, and caching capabilities. A standout feature is its Backend For Frontend pattern, which consolidates various API calls into a single response, simplifying client interactions.
On the security front, KrakenD is OWASP-compliant and data-agnostic, streamlining regulatory adherence. Operational ease comes via its declarative setup and robust third-party tool integration. With its open-source community edition and transparent pricing model, KrakenD is the go-to API Gateway for organizations that refuse to compromise on performance or scalability.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS X-Ray
No
Amazon S3
Yes
Amazon Simple Queue Service (SQS)
No
Apache Kafka
No
Auth0
No
Datadog
No
Elasticsearch
No
Google Cloud BigQuery
Yes
Google Cloud Pub/Sub
No
Grafana Cloud
No
Integrations
AWS X-Ray
Yes
Amazon S3
No
Amazon Simple Queue Service (SQS)
Yes
Apache Kafka
Yes
Auth0
Yes
Datadog
Yes
Elasticsearch
Yes
Google Cloud BigQuery
No
Google Cloud Pub/Sub
Yes
Grafana Cloud
Yes
Pricing Details
$100 per month
Free Trial
Yes
Free Version
No
Pricing Details
Open-source, Free to use, Community Edition available.
Commercial Edition available, including premium features and vendor support.
Commercial Edition available, including premium features and vendor support.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Big Squid
Founded
2009
Country
United States
Website
www.bigsquid.com/kraken-platform
Vendor Details
Company Name
KrakenD
Founded
2017
Country
Spain
Website
www.krakend.io
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
Yes
Data Mining
No
Data Visualization
Yes
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
Yes
Templates
No
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
No
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
Yes
Visualization
Yes
Product Features
API Management
API Design
Yes
API Lifecycle Management
Yes
Access Control
Yes
Analytics
Yes
Dashboard
Yes
Developer Portal
Yes
Testing Management
Yes
Threat Protection
Yes
Traffic Control
Yes
Version Control
Yes
API Testing
Functional Testing
Yes
Fuzz Testing
Yes
Load Testing
Yes
Penetration Testing
Yes
Runtime and Error Detection
Yes
Security Testing
Yes
UI Testing
Yes
Validation Testing
Yes
