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Description
Lake.com serves as a dedicated vacation rental platform focused on providing guests with beautiful lakeside homes, cottages, and cabins that cater to various preferences such as family-friendly and pet-friendly stays. Users can easily search for rentals based on location, travel dates, and the number of guests, while enjoying a secure and straightforward booking experience without hidden fees. The platform encourages direct interaction between guests and hosts, fostering friendly communication and personalized service. Hosts benefit from easy-to-use listing tools that simplify property management and help generate additional income. Lake.com also offers expert travel reports highlighting popular lake destinations, water sports, wildlife, and affordability rankings to guide travelers. The website showcases a variety of property types, from cozy cabins to luxurious lakefront estates. Additionally, the platform features a guest center to ensure smooth stays and a host center to support property owners. By connecting a global community of travelers and hosts, Lake.com makes discovering and booking lakeside vacations effortless and enjoyable.
Description
lakeFS allows you to control your data lake similarly to how you manage your source code, facilitating parallel pipelines for experimentation as well as continuous integration and deployment for your data. This platform streamlines the workflows of engineers, data scientists, and analysts who are driving innovation through data. As an open-source solution, lakeFS enhances the resilience and manageability of object-storage-based data lakes. With lakeFS, you can execute reliable, atomic, and versioned operations on your data lake, encompassing everything from intricate ETL processes to advanced data science and analytics tasks. It is compatible with major cloud storage options, including AWS S3, Azure Blob Storage, and Google Cloud Storage (GCS). Furthermore, lakeFS seamlessly integrates with a variety of modern data frameworks such as Spark, Hive, AWS Athena, and Presto, thanks to its API compatibility with S3. The platform features a Git-like model for branching and committing that can efficiently scale to handle exabytes of data while leveraging the storage capabilities of S3, GCS, or Azure Blob. In addition, lakeFS empowers teams to collaborate more effectively by allowing multiple users to work on the same dataset without conflicts, making it an invaluable tool for data-driven organizations.
API Access
Has API
API Access
Has API
Integrations
Amazon Athena
Amazon Kinesis
Amazon S3
Amazon SES
Amazon Web Services (AWS)
Apache Airflow
Apache Flink
Apache Kafka
Apache Spark
Astro by Astronomer
Integrations
Amazon Athena
Amazon Kinesis
Amazon S3
Amazon SES
Amazon Web Services (AWS)
Apache Airflow
Apache Flink
Apache Kafka
Apache Spark
Astro by Astronomer
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Lake.com
Founded
2023
Country
Canada
Website
www.lake.com
Vendor Details
Company Name
Treeverse
Founded
2020
Country
Israel
Website
lakefs.io
Product Features
Vacation Rental
Contact Management
Fee / Commission Management
Guest Reviews / Ratings
Housekeeping Management
Lead Management
Owner Statements
Payment Processing
Property Database
Reservations Management
Vendor Management
Work Order Management
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
