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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Numerous applications and services hosted in public cloud environments utilize storage solutions like Amazon S3 buckets and Azure Blob storage. As time progresses, these storage solutions may become infected with malware, improperly configured buckets can lead to data breaches, and failure to classify sensitive information can lead to compliance issues and hefty fines. CWP for Storage plays a crucial role by automatically identifying and scanning Amazon S3 buckets and Azure Blobs, ensuring that cloud storage remains both clean and secure. Furthermore, CWP for Storage DLP implements Symantec DLP policy within Amazon S3 to effectively discover and categorize sensitive data. To facilitate remediation and additional actions, AWS Tags can be applied as necessary. Additionally, Cloud Security Posture Management (CSPM) is available for major platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). While containers enhance operational agility, they also introduce a variety of public cloud security challenges and vulnerabilities that can heighten overall risk, necessitating a proactive approach to security management. Organizations must remain vigilant and continually update their security measures to mitigate these evolving threats.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Amazon Athena No 
Amazon SES No 
Apache Airflow No 
Apache Flink No 
Apache Kafka No 
Apache Spark No 
Azure Blob Storage No 
Databricks No 
F5 BIG-IP SSL Orchestrator Yes 
Google Cloud Platform Yes 
Google Cloud Storage No 
Hadoop No 
Jupyter Notebook No 
Looker No 
MLflow No 
Microsoft Azure Yes 
MinIO No 
Symantec Web Isolation Yes 

Integrations

Amazon S3 Yes 
Amazon Athena Yes 
Amazon SES Yes 
Apache Airflow Yes 
Apache Flink Yes 
Apache Kafka Yes 
Apache Spark Yes 
Azure Blob Storage Yes 
Databricks Yes 
F5 BIG-IP SSL Orchestrator No 
Google Cloud Platform No 
Google Cloud Storage Yes 
Hadoop Yes 
Jupyter Notebook Yes 
Looker Yes 
MLflow Yes 
Microsoft Azure No 
MinIO Yes 
Symantec Web Isolation No 

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 Yes 
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

Broadcom

Founded

1991

Country

United States

Website

www.broadcom.com/products/cyber-security/endpoint/hybrid-cloud/cloud-workload-protection

Vendor Details

Company Name

Treeverse

Founded

2020

Country

Israel

Website

lakefs.io

Product Features

Cloud Workload Protection

Anomaly Detection No 
Asset Discovery No 
Cloud Gap Analysis No 
Cloud Registry No 
Data Loss Prevention (DLP) No 
Data Security No 
Governance No 
Logging & Reporting No 
Machine Learning No 
Security Audit No 
Workload Diversity 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 

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