Miro
Mural
LucidChart
Excalidraw
Trello
Whimsical
Milanote
Notion
Google BigQuery
Databricks
Looker
Jupyter
Presto DB
Amazon EMR
Google Cloud Dataflow
Rakam
Miro AI is the artificial intelligence layer built directly into the Miro collaborative workspace. It helps teams think, create, and execute faster by embedding AI into the same visual environment where collaboration already happens.
Rather than being a separate tool, Miro AI works contextually across the canvas, using existing content to support teams throughout the entire workflow โ from ideation to delivery.
What makes Miro AI valuable - AI embedded in the workspaceโจMiro AI operates directly on boards and canvas content, reducing context switching and making AI support immediately relevant to the work at hand. - AI Sidekicks (AI teammates)โจBuilt-in AI Sidekicks assist teams with ideation, planning, writing, and structuring content, acting as collaborative partners rather than isolated tools. - AI Flows for end-to-end workflowsโจAI Flows help guide and automate multi-step processes, enabling teams to move from idea to outcome more efficiently. - Content creation & refinementโจTeams can generate, edit, summarize, and refine text, visuals, and boards using AI โ saving time on repetitive or manual tasks. - Smarter collaboration at scaleโจMiro AI helps teams align faster by summarizing boards, extracting insights, and organizing information across large or complex projects. - Enterprise-ready & secureโจDesigned with governance and security in mind, Miro AI supports enterprise requirements while remaining accessible for everyday team use.
Who itโs for Miro AI is especially useful for: - Product and project teams - Designers and creative teams - Marketing and content teams - Strategy, innovation, and operations teams - Organizations adopting AI for collaborative work
Miro Google BigQueryBased on our record, Miro should be more popular than Google BigQuery. It has been mentiond 243 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Lucidchart is better when polished collaboration matters enough to justify the cost. Mermaid is better when the team wants diagrams in code. Miro is better for workshops than for long-term architecture documentation. - Source: dev.to / 3 months ago
Miro is a popular online whiteboard platform where users can create mind maps, diagrams, and visual workflows together. It also supports collaboration between multiple users. - Source: dev.to / 7 months ago
Create user story mapping diagrams using Miro,. - Source: dev.to / over 5 years ago
Virtual White Boards: Most meetings involve some form of interaction that typically takes place on whiteboards in an office setting. If we use a physical whiteboard in conjunction with a conferencing tool, we risk limiting the involvement of remote participants. Therefore, having a virtual alternative is necessary. A good example of this is Miro, where you can invite people to collaborate live on various types of... - Source: dev.to / 12 months ago
Miro Miro.com Free collaborative whiteboard for brainstorming and wireframing. - Source: dev.to / over 1 year ago
We migrated the analytics layer to Google BigQuery. Same queries that timed out in PostgreSQL now run in under 2 seconds. But not everything belongs in BigQuery โ we initially moved too aggressively and actually reverted some queries back when the added complexity wasn't justified. Our rule of thumb: if a query scans hundreds of thousands of rows or involves complex time-series aggregations, BigQuery. Everything... - Source: dev.to / 3 months ago
Google BigQuery - For large-scale data processing and SQL-based analysis. - Source: dev.to / 4 months ago
Data Pipelines usually read from tables that change over time. Most of these tables are stored in a data warehouse like Amazon Redshift or Google BigQuery. Rows are added or removed. Backfills happen. A column gets renamed or its meaning changes. Even when teams snapshot data, those snapshots are often implicit, not recorded as part of the pipeline run itself. - Source: dev.to / 5 months ago
SQL endures because it's the non-negotiable interface for relational data. Enterprise data storage still relies heavily on relational databases despite new alternatives. What makes SQL valuable for learners is transferabilityโwhile dialects differ across PostgreSQL, SQL Server, and BigQuery, the fundamentals stay consistent. - Source: dev.to / 7 months ago
Within classic cloud data warehouses, Google BigQuery presents a different pricing model. Its on-demand, per-terabyte-scanned pricing can be cost-effective for sporadic forensic queries. But it carries the risk of a runaway query where a single mistake leads to a massive bill. - Source: dev.to / 8 months ago
Mural - MURAL is a visual collaboration workspace for modern teams.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โWhat is Apache Spark?
LucidChart - LucidChart is the missing link in online productivity suites. LucidChart allows users to create, collaborate on, and publish attractive flowcharts and other diagrams from a web browser.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Excalidraw - Excalidraw is a whiteboard tool that lets you easily sketch diagrams that have a hand-drawn feel to them.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.