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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

LakeSentry is a sophisticated software solution designed for cost monitoring and optimization specifically for teams utilizing Databricks. It seamlessly integrates with your Databricks environment, providing automatic tracking of expenditures across various areas such as workspaces, jobs, SQL warehouses, and individual users, enabling both platform and FinOps teams to understand their spending without the need for tedious manual checks. In addition to offering enhanced visibility, LakeSentry actively identifies cost anomalies and areas of idle expenditure, implementing optimization measures through a secure and gradual process that begins with shadow mode (where only recommendations are provided), advances to manual approval, and can ultimately culminate in fully automated execution if desired. Available as a Software-as-a-Service (SaaS) solution, LakeSentry includes a free tier along with flat-rate monthly subscriptions that come without additional charges per DBU or workspace. Key features include automatic cost attribution across various components of the Databricks ecosystem, real-time detection of anomalies and wasted resources, a multi-stage optimization process encompassing shadow, manual, and autopilot modes, and a native compatibility with Databricks, being aware of Unity Catalog usage and cluster lifecycle. The pricing structure is straightforward, allowing for unlimited workspaces under one flat rate, making it an accessible choice for teams looking to optimize their cloud expenditures. With these features, LakeSentry empowers organizations to manage their Databricks costs effectively while enhancing operational efficiency.

Description

Zingg is an open-source platform designed for Master Data Management, tailored for contemporary data warehousing needs. By leveraging machine learning for scalable entity resolution, it removes the reliance on costly and inflexible MDM solutions. Seamlessly integrated with Databricks, Microsoft Fabric, Snowflake, AWS, and GCP, Zingg empowers data teams to create a cohesive and reliable view of customers, suppliers, and products directly within their existing data environments. With a persistent Zingg ID, golden records are consistently upheld across various systems and data sources, ensuring data integrity and accessibility. Moreover, Zingg's innovative approach simplifies the management of master data, allowing organizations to focus on data-driven decision-making.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

No images available

Integrations

Databricks
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Fabric
Snowflake

Integrations

Databricks
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Fabric
Snowflake

Pricing Details

$250/month
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

Dark Lake

Founded

2026

Country

United States

Website

darklakeside.com

Vendor Details

Company Name

Zingg Labs

Founded

2021

Country

United States

Website

www.zingg.ai/

Product Features

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

Product Features

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Alternatives

No Alternatives

Alternatives

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