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Description
PulseLake is a groundbreaking, AI-driven operating system that focuses on ontology-based research operations, evaluations, evidence management, and the delivery of insights. It empowers teams in research, consulting, customer experience (CX), employee experience (EX), product development, and strategic planning to create organized studies, initiate surveys and assessments, gather feedback, manage relationships with clients and partners, analyze both quantitative and qualitative data, and present findings through user-friendly dashboards, comprehensive reports, dedicated portals, and streamlined automated workflows.
In contrast to conventional survey platforms, PulseLake structures research using reusable ontologies, which include dimensions, sub-dimensions, questions, scoring frameworks, benchmarks, segments, and evidence frameworks. This innovative approach simplifies the process of comparing, reusing, automating research, and transforming it into actionable decisions.
With PulseLake, teams benefit from the capability to conduct a wide range of activities, including maturity assessments, diagnostics, studies on customer and employee experiences, pricing research, MaxDiff analysis, conjoint studies, feedback initiatives, qualitative research, and customizable research workflows, all within a single cohesive platform that enhances efficiency and collaboration. This all-in-one solution is designed to streamline the research process and maximize the impact of the insights gleaned.
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
Screenshots View All
No images available
Integrations
Amazon Kinesis
Amazon S3
Amazon SES
Amazon Web Services (AWS)
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Azure Blob Storage
Integrations
Amazon Kinesis
Amazon S3
Amazon SES
Amazon Web Services (AWS)
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Azure Blob Storage
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
CerebrixOS
Founded
2025
Country
Canada
Website
www.cerebrixos.com
Vendor Details
Company Name
Treeverse
Founded
2020
Country
Israel
Website
lakefs.io
Product Features
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