Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Introducing a comprehensive Customer Data Platform (CDP) that continuously collects and qualifies data to create a holistic 360º view of your customers. We integrate directly with your data sources, populate our Data Lake, and refine it in our Data Hub, enabling us to design intuitive dashboards and analytical templates that enhance your client communication. All of this is conveniently packaged within a single Zoox solution, featuring ELT capabilities with over 150 native connections. You can initiate a data pipeline in just minutes, ensuring that your information remains reliable and current. Our solution incorporates the Data Build Tool (DBT) for transforming your data seamlessly. Additionally, you can enrich your insights by merging your data with market analyses, accessing over 200 variables, and exploring company inventories. Furthermore, our platform allows you to connect with partner APIs for even deeper insights. Utilize our ready-made analytics templates that cover various areas from shop performance to risk assessment, and if you need a tailored template, we’ll customize it for you and integrate it into your data pipeline seamlessly. This all-encompassing approach not only streamlines your data management but also empowers you to make informed decisions based on accurate analytics.
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
Yes
API Access
Has API
Yes
Integrations
Amazon Kinesis
No
Amazon S3
No
Amazon SES
No
Amazon Web Services (AWS)
No
Apache Airflow
No
Apache Hive
No
Apache Kafka
No
Apache Spark
No
Astro by Astronomer
No
Azure Blob Storage
No
Integrations
Amazon Kinesis
Yes
Amazon S3
Yes
Amazon SES
Yes
Amazon Web Services (AWS)
Yes
Apache Airflow
Yes
Apache Hive
Yes
Apache Kafka
Yes
Apache Spark
Yes
Astro by Astronomer
Yes
Azure Blob Storage
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Zoox
Country
United States
Website
zooxsmart.com/eye-customer-data-platform/
Vendor Details
Company Name
Treeverse
Founded
2020
Country
Israel
Website
lakefs.io
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
No
Campaign Management
No
Customer Profiles
No
Customer Segmentation
No
Data Integration
No
Data Matching
No
GDPR Compliance
No
Personalization
No
Predictive Modeling
No
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No