Lumenore

Lumenore

Netlink
dbt

dbt

dbt Labs
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About

Lumenore democratizes business intelligence with no-code analytics. Discover actionable insights in your data silos with simpler access to analytics. Empower your entire team to derive insights from data - giving you a transparent view of your operations and helping you drive successful business outcomes. Move ahead of the herd. Leverage predictive analytics and conversational intelligence to grow faster than ever before. Lumenore helps business ramp up their time to insight by building an end-to-end data engineering solution. Democratize intelligence across the organization with the power of conversational analytics -Get complete control of your data experience with pull analytics -Keep track of the questions that led you to your current business query -See the most frequently asked and trending questions with the Google Search-like bar. -Connect with IoT devices such as Google Home and Alexa Seamlessly integrate data from over 50 sources like Shopify, Salesforce, etc.

About

dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow. Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies of all sizes

Audience

SQL users looking for a ETL solution to engineer data transformations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$2.49 per user per month
Free Version
Free Trial

Pricing

$100 per user/ month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 4.2 / 5
features 4.8 / 5
design 4.8 / 5
support 4.8 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.8 / 5
design 4.8 / 5
support 4.2 / 5

Pros & Cons from Real Users

Pros

  • Super-easy to compare campaign variations visually. Helps us spot subtle trends that would be lost in a spreadsheet. Makes explaining test results to the team a breeze – everyone gets it!
  • Turns messy data into clear, actionable insights. Easy to collaborate with cross-functional teams and saves a ton of time compared to manual analysis.
  • The wide variety of chart types and customization options allows us to tailor visualizations to our specific needs. The pre-built templates are a great starting point and save us a ton of time.
  • Really loved the ease to use data from various sources and the quality of visualisations that Lumenore produced for us.
  • - Ability to use data from various sources - Ease to use for team members with non-coding background

Cons

  • A deeper integration with our A/B testing platform would be the cherry on top.
  • Could benefit from more advanced statistical tools for in-depth analysis.
  • The biggest downside is that some of our team members found the initial learning curve a bit steep. However, Lumenore's customer support was fantastic and helped them get up to speed quickly.
  • I don't have any complaints but as a product team would love to use more features soon.
  • - Nothing as of now. My team has been using it for a couple of quarters now and everything seems great.

Pros from Real Users

Pros

  • Ease of use and Features. Easy to setup, integrate, and get started quickly Less maintenance Out of the box CI/CD integration with Git Easy to learn.
  • - Credential and version management is offloaded to the cloud - Simple-to-use orchestration - Seamless state management - Integrated documentation and lineage - Collaborative development experience - Native CI/CD integration - Centralized logging and observability - Enterprise-grade access control and auditability - Easy environment management - Rapid onboarding for new users
  • We use dbt for our data transformations. It's been a game changer from a Data Engineering and Analytics Engineering standpoint. It has accelerated our migration from legacy systems and made our pipelines 80% faster. We have increased visibility in our projects, a catalog and many other data quality indicators.
  • dbt has been one of the most transformative tools in my data career. It gives teams a clean, maintainable way to translate business logic into reliable, production-grade data models. It standardizes the entire development lifecycle — modeling, testing, documentation, version control, CI/CD, and lineage — in a way that allows analytics engineers and data engineers to work with clarity and confidence. It’s the backbone of our governed analytics strategy. Exceptional developer workflow: Modular SQL, version control, built-in testing, documentation, and macros allow us to scale complex business logic with consistency and reliability. Scales with organizational change: dbt has allowed us to redesign core product and customer analytics with patterns that are resilient to future product launches and schema changes.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Netlink
Founded: 1999
United States
lumenore.com

Company Information

dbt Labs
Founded: 2016
United States
www.getdbt.com

Alternatives

Alternatives

Pecan

Pecan

Pecan AI
Presto

Presto

Presto Foundation

Categories

Categories

dbt powers the transformation layer of modern data pipelines. Once data has been ingested into a warehouse or lakehouse, dbt enables teams to clean, model, and document it so it’s ready for analytics and AI. With dbt, teams can: - Transform raw data at scale with SQL and Jinja. - Orchestrate pipelines with built-in dependency management and scheduling. - Ensure trust with automated testing and continuous integration. - Visualize lineage across models and columns for faster impact analysis. By embedding software engineering practices into pipeline development, dbt helps data teams build reliable, production-grade pipelines to accelerate time to insight, and deliver AI-ready data.

dbt brings rigor and scalability to data preparation by enabling teams to clean, transform, and structure raw data directly in the warehouse. Instead of siloed spreadsheets or manual workflows, dbt uses SQL and software engineering best practices to make data preparation reliable, repeatable, and collaborative. With dbt, teams can: - Clean and standardize data with reusable, version-controlled models. - Apply business logic consistently across all datasets. - Validate outputs through automated tests before data is exposed to analysts. - Document and share context so every prepared dataset comes with lineage and definitions. By treating data preparation as code, dbt ensures that prepared datasets aren’t just quick fixes — they’re trusted, governed, and production-ready assets that scale with the business.

ETL

dbt modernizes the “T” in ETL: Transformation. Instead of relying on legacy pipelines or black-box transformations, dbt empowers data teams to build, test, and document transformations directly inside the data warehouse or lakehouse. With dbt, teams can: - Transform raw data into analytics-ready models using SQL and Jinja. - Ensure reliability with built-in testing, version control, and CI/CD. - Standardize workflows across teams with reusable models and shared documentation. - Leverage modern platforms like Snowflake, Databricks, BigQuery, and Redshift for scalable transformation. By focusing on the transformation layer, dbt helps organizations shorten pipeline development cycles, reduce data debt, and deliver trusted insights faster — complementing ingestion and loading tools in a modern ELT stack.

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Lineage Features

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Preparation Features

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

ETL Features

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integrations

Acryl Data
Braight
Collate
DQOps
Dagster
Grouparoo
Lightdash
LocalStack
Matia
Metaphor
Metaplane
OpenMetadata
Openbridge
Paradime
PopSQL
Secoda
Spresso
Stonebranch
Zipher
definity

Integrations

Acryl Data
Braight
Collate
DQOps
Dagster
Grouparoo
Lightdash
LocalStack
Matia
Metaphor
Metaplane
OpenMetadata
Openbridge
Paradime
PopSQL
Secoda
Spresso
Stonebranch
Zipher
definity
Claim Lumenore and update features and information
Claim Lumenore and update features and information