Ratings and Reviews 1 Rating

Total
ease
features
design
support

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • FinOpsly Reviews & Ratings
    3 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,016 Ratings
    Company Website
  • DbVisualizer Reviews & Ratings
    572 Ratings
    Company Website
  • Viktor Reviews & Ratings
    19 Ratings
    Company Website
  • Sendbird Reviews & Ratings
    164 Ratings
    Company Website
  • SurveyJS Reviews & Ratings
    61 Ratings
    Company Website
  • Robin by Atera Reviews & Ratings
    523 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,120 Ratings
    Company Website
  • ManageEngine Log360 Reviews & Ratings
    168 Ratings
    Company Website
  • NetBrain Reviews & Ratings
    265 Ratings
    Company Website

What is Mitzu?

Mitzu is an agentic analytics platform — an AI analyst that connects to your data warehouse and answers business questions autonomously, without SQL, dashboards, or data team dependencies. It generates and runs queries live on Snowflake, BigQuery, Redshift, Databricks, or ClickHouse, returning explainable answers with full SQL visibility. Includes proactive KPI monitoring and Slack/email anomaly alerts. Replaces the analytics ticket queue for product, marketing, and growth teams. BYOC and self-hosting available.

What is LakeSentry?

LakeSentry is an advanced software solution tailored for monitoring and optimizing costs specifically for teams working within Databricks. It integrates seamlessly with your Databricks environment, automatically tracking expenses across various elements such as workspaces, jobs, SQL warehouses, and users, which allows both platform and FinOps teams to gain insights into their spending without the hassle of manual tracking. Beyond improving visibility, LakeSentry also detects cost anomalies and identifies areas of unnecessary expenditure, implementing optimization strategies through a secure, phased approach that starts with shadow mode—where only suggestions are given—moves to manual approval, and can eventually lead to complete automation if required. Offered as a Software-as-a-Service (SaaS) solution, LakeSentry features a free tier along with flat-rate monthly subscriptions that do not impose extra charges based on DBU or workspace usage. Notable features include automatic cost attribution throughout the Databricks ecosystem, immediate detection of anomalies and resource wastage, a comprehensive optimization process that includes shadow, manual, and autopilot modes, and native compatibility with Databricks, which takes into account Unity Catalog usage and cluster lifecycles. The pricing model is clear-cut, accommodating unlimited workspaces for a single flat fee, making it an appealing option for teams aiming to streamline their cloud expenses. By leveraging these capabilities, LakeSentry enables organizations to effectively manage their Databricks costs while also boosting overall operational productivity, thereby facilitating a more efficient approach to cloud resource management.

Media

Media

No images available

Integrations Supported

Databricks
Amazon Athena
Amazon Redshift
ClickHouse
Google Cloud BigQuery
Jitsu
PostgreSQL
RudderStack
Segment
Snowflake
Snowplow Analytics
Trino

Integrations Supported

Databricks
Amazon Athena
Amazon Redshift
ClickHouse
Google Cloud BigQuery
Jitsu
PostgreSQL
RudderStack
Segment
Snowflake
Snowplow Analytics
Trino

API Availability

Has API

API Availability

Has API

Pricing Information

$35 per month
Free Trial Offered?
Free Version

Pricing Information

$250/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mitzu.io

Date Founded

2022

Company Location

United States

Company Website

mitzu.io

Company Facts

Organization Name

Dark Lake

Date Founded

2026

Company Location

United States

Company Website

darklakeside.com

Categories and Features

Product Analytics

Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation

Categories and Features

Cloud Cost Management

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

Popular Alternatives

Popular Alternatives

Astrato Reviews & Ratings

Astrato

Astrato Analytics
Compass Reviews & Ratings

Compass

Dagster Labs