BI & Data Exploration
Platforms and tools for business intelligence bringing data insight to internal users.
Data Engineering
Data pipelines, data modeling, and BI tools to collect, store, and analyze data at scale.
Data Notebooks
Interactive and collaborative platforms for data science and analytics.
Cloud Data Warehouses (CDW)
Popular cloud-based scalable data stores optimized for BI and analytics.
Query Engines
Tools for querying data from a variety of data sources, even within a single query.
Transactional Databases (OLTP)
Widespread relational and mostly row-based data stores.
Time Series Databases (TSDB)
Data stores optimized for processing timestamps with associated values.
Streaming Databases (RTDB)
Data stores built for stream processing and building real-time applications.
NoSQL & Document Databases
Key-value and document-based data stores.
Extract, Load, Transform (ETL)
Data processing tools used for copying data from one or more sources into a destination.
Data Modeling
Architecturing data storage and solving common analytical tasks with SQL.
Embedded Analytics
Integrating data visualization and business intelligence into a user's natural workflow.
Performance
Optimizing query latency and concurrency for better UX and lesser time-to-insight.
Data Modeling
Introducing Cube Visual Modeler: Empowering Everyone to Build with Data
The ability to model and analyze data isn't just the domain of developers and data engineers—it's a vital competency across all facets of a business. At Cube, we've always prided ourselves on…
How Cube Improves Spreadsheet Analytics
From Raw Data to Unified Metrics with Coalesce and Cube
Introducing Playground 2.0 and Chart Prototyping in Cube Core
How Cube's Universal Semantic Layer & Databricks Lakehouse Work Together
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Introducing custom time dimension granularities
How to connect Google Sheets to your metrics in Cube Cloud
Cube expands support for Google Ecosystem with Google Sheets Connector
How Cube’s Universal Semantic Layer & Google Cloud Platform (GCP) Work Together
Upgrade your data stack today
Where should a semantic layer be built?
How Cube’s Universal Semantic Layer & Snowflake Data Cloud Work Together
How Cube’s Universal Semantic Layer & Microsoft Azure Work Together
4 Approaches to Embedded Analytics
Data is the new oil, but it must be refined
Announcing the native MDX API and Excel integration for Cube Cloud
Unlock the Value of Trusted Data with Semantic Catalog and AI Assistant
Announcing Support for Klipfolio PowerMetrics
Cube raises $25 million
Query pushdown in Cube’s semantic layer
Announcing Support for RisingWave in Cube
Comparative Analysis of Load Tests on Cube Store and Cloud Data Warehouse
Introducing the AI API and Chart Prototyping in Cube Cloud
Embedded Analytics with Chart Prototyping
3 Reasons Why Embedded Analytics Isn’t Only for Your Customer Data
Announcing Support for Hashboard in Cube
Rethinking Modern Business Intelligence with a Universal Semantic Layer
Announcing Support for SingleStore in Cube Cloud
Introducing Semantic Layer Sync with Power BI
Cube Now Supports Multiple Products Within the Microsoft Data and Analytics Ecosystem
Personalized and Proactive Analytics with Cube and Push.ai
Introducing Playground 2.0 with BI-like experience
Cube and Steep: Metrics-first business intelligence
Introducing demo deployments in Cube Cloud
2023: The Year of the Semantic Layer
Reach Sub-Second Query Performance for Your Data App
The Need for an Open Standard for the Semantic Layer
Introducing a tool for Looker to Cube migration
Introducing dbt integration with Cube
Introducing Python and Jinja for data modeling
Introducing Python for configuration
Getting Started with a Databricks Semantic Layer
Introducing Semantic Layer Sync with Tableau
Getting Started with a Snowflake Semantic Layer
Introducing DuckDB and MotherDuck integrations
Complementing Data Graph with views
Data Modeling Techniques 101
Cube and Explo: Easy Customer Facing Analytics with the Universal Semantic Layer
Building Business Intelligence Dashboards (your team will actually want to use)
The Future of Self Service Analytics: Data-Driven Decisions, Meet Accessibility
What is a Semantic Layer? (and why your BI stack needs one)
The Critical Components: an Example Embedded Analytics Tools Stack
Introducing Semantic Layer Sync
Introducing Orchestration API
Introducing Data Graph
The Modern Data Stack for Embedded Analytics
Introducing YAML Data Modeling in Cube
Announcing the Cube integration with Trino, the SQL query engine for big data
Self-service analytics with Metabase and Cube
Enabling data analysis at scale with Cube and CrateDB
Deep dive: What the heck is the Semantic Layer
Open source Looker alternative with Cube and Apache Superset
Embedded Analytics with Tableau and Cube
Observable tutorial: Analyze data in a JavaScript-native data notebook
Building terabyte-scale data apps with Firebolt and Cube
What is Embedded Analytics?
Announcing the Cube and Hex integration: Headless BI meets notebooks and data apps
ClickHouse scalability and power for building data-intensive applications
Announcing the Cube and Databricks integration
Deepnote tutorial: Collaborative data analysis in a Jupyter-compatible data notebook
Connecting Cube to Tableau tutorial
Cube integration with Ahana: Querying multiple data sources with managed Presto and Cube
DeWitt clause, or Can you benchmark a database and get away with it
Supabase tutorial: Building fast data visualization apps
Ternary's three-query approach to present the most interesting data in less than 50k rows
Announcing the Cube integration with Materialize: Building real-time applications over data streams
Time Series Data Analytics with QuestDB and Cube
Cube’s Open Source Data Modeling Language
Building dashboards over a semantic layer with Superset and Cube
Combining dbt Metrics with API, Caching, and Access Control
How KazanExpress is using Cube for analytics in their marketplace offerings
GraphQL Postgres Metrics Dashboard with Cube
How Gadsme is using Cube for analytics on their in-game advertising platform
Building a ClickHouse Visualization with Altinity and Cube
Building a metrics dashboard with Superset and Cube
Introducing the Cube SQL API: Building Metrics Stores with Cube
Performance capabilities of data warehouses and how Cube can help
How ShopBack is using Cube to keep pace with their business & data growth
External Rollups: Using Cube Store as an Acceleration Layer for BigQuery
How FeedMe used Cube.js to redesign their reporting system
How Simon Data addressed their runaway analytics complexity with Cube
Introducing Cube Store: High concurrency and sub-second latency for any database
How COTA uses Cube to aid the development of new drugs and therapies
BigQuery Public Datasets for COVID-19 Impact Research
ClickHouse Dashboard: Analytics Tutorial
Building MongoDB Dashboard using Node.js
How Cyndx enhanced its financial platform with Cube
Tableau-like Charts with MuzeJS, Cube, and React
How Jobber uses Cube.js to help customers run their businesses with high performance dashboards
Building an Open Source Web Analytics Platform
D3 Dashboard Tutorial
Real-Time Dashboard with Open-Source Tools
React Dashboard: an Ultimate Guide
Introducing Querying History Constrained Algorithm for Data Cube Lattice Calculation
Redash Dashboard Tutorial with Cube
Nginx Log Analytics with AWS Athena and Cube.js
Optimize Cube Performance with Pre-Aggregations
Building an Open Source Mixpanel Alternative. Part 2: Conversion Funnels
Serverless Analytics Benchmark of AWS Aurora Performance
Building an Open Source Mixpanel Alternative. Part 1: Collecting and Displaying Events
BigQuery vs Redshift: Pricing Strategy
Simple Tips for PostgreSQL Query Optimization
Open Source ETL: Apache NiFi vs Streamsets
Choosing Between Modern Data Warehouses
ETL vs ELT: Considering the Advancement of Data Warehouses
Scalable Select of Random Rows in SQL
Loading Terabytes of Data from Postgres into BigQuery
Event Analytics: How to Define User Sessions with SQL
Calculating Customer Lifetime Value: SQL Example
SQL Window Functions Tutorial for Business Analysis
