Software Alternatives, Accelerators & Startups

Google BigQuery VS Craft Docs

Compare Google BigQuery VS Craft Docs and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.

Craft Docs logo Craft Docs

The writing app you've been waiting for
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Craft Docs Landing page
    Landing page //
    2023-08-23

Craft Docs

Website
craft.do
$ Details
-
Release Date
2019 January
Startup details
Country
Hungary
State
Budapest
City
Budapest
Founder(s)
Balint Orosz
Employees
10 - 19

Google BigQuery features and specs

  • Scalability
    BigQuery can effortlessly scale to handle large volumes of data due to its serverless architecture, thereby reducing the operational overhead of managing infrastructure.
  • Speed
    It leverages Google's infrastructure to provide high-speed data processing, making it possible to run complex queries on massive datasets in a matter of seconds.
  • Integrations
    BigQuery easily integrates with various Google Cloud Platform services, as well as other popular data tools like Looker, Tableau, and Power BI.
  • Automatic Optimization
    Features like automatic data partitioning and clustering help to optimize query performance without requiring manual tuning.
  • Security
    BigQuery provides robust security features including IAM roles, customer-managed encryption keys, and detailed audit logging.
  • Cost Efficiency
    The pricing model is based on the amount of data processed, which can be cost-effective for many use cases when compared to traditional data warehouses.
  • Managed Service
    Being fully managed, BigQuery takes care of database administration tasks such as scaling, backups, and patch management, allowing users to focus on their data and queries.

Possible disadvantages of Google BigQuery

  • Cost Predictability
    While the pay-per-use model can be cost-efficient, it can also make cost forecasting difficult. Unexpected large queries could lead to higher-than-anticipated costs.
  • Complexity
    The learning curve can be steep for those who are not already familiar with SQL or Google Cloud Platform, potentially requiring training and education.
  • Limited Updates
    BigQuery is optimized for read-heavy operations, and it can be less efficient for scenarios that require frequent updates or deletions of data.
  • Query Pricing
    Costs are based on the amount of data processed by each query, which may not be suitable for use cases that require frequent analysis of large datasets.
  • Data Transfer Costs
    While internal data movement within Google Cloud can be cost-effective, transferring data to or from other services or on-premises systems can incur additional costs.
  • Dependency on Google Cloud
    Organizations heavily invested in multi-cloud or hybrid-cloud strategies may find the dependency on Google Cloud limiting.
  • Cold Data Performance
    Query performance might be slower for so-called 'cold data,' or data that has not been queried recently, affecting the responsiveness for some workloads.

Craft Docs features and specs

  • User Interface
    Craft Docs offers a clean, intuitive, and aesthetically pleasing user interface that enhances the user experience and makes navigation easy.
  • Block-Based Editing
    The application uses a block-based editing system, which allows users to manage information flexibly by moving and reorganizing content blocks easily.
  • Collaboration
    Craft Docs provides robust collaboration features, enabling multiple users to work on documents simultaneously, making it suitable for team projects.
  • Cross-Platform Availability
    It is available across multiple platforms including iOS, macOS, and web, providing users with the flexibility to work from various devices.
  • Integration with Other Tools
    The software integrates with popular tools and services like Google Calendar, allowing for a seamless workflow across different applications.

Possible disadvantages of Craft Docs

  • Limited Free Version
    The free version of Craft Docs offers limited features, which might not be sufficient for power users or those looking to leverage full functionality without commitment.
  • Learning Curve
    New users might find the block-based system unfamiliar and may require time to adapt to the unique way of organizing content compared to traditional document editors.
  • Offline Functionality
    While Craft Docs offers offline capabilities, the feature set is somewhat limited compared to its online mode, which could hinder productivity without internet access.
  • Export Options
    Although the application supports exporting documents in various formats, some users may find the customization of export options lacking compared to other tools.
  • Mac and iOS Focus
    Craft Docs primarily targets Apple ecosystems, which may limit its appeal or integration capabilities for users who predominantly use Windows or Android devices.

Analysis of Google BigQuery

Overall verdict

  • Google BigQuery is a powerful and flexible data warehouse solution that suits a wide range of data analytics needs. Its ability to handle large volumes of data quickly makes it a preferred choice for organizations looking to leverage their data effectively.

Why this product is good

  • Google BigQuery is a fully-managed data warehouse that simplifies the analysis of large datasets. It is known for its scalability, speed, and integration with other Google Cloud services. It supports standard SQL, has built-in machine learning capabilities, and allows for seamless data integration from various sources. The serverless architecture means that users don't need to worry about infrastructure management, and its pay-as-you-go model provides cost efficiency.

Recommended for

  • Businesses requiring fast processing of large datasets
  • Organizations that already utilize Google Cloud services
  • Companies looking for a cost-effective, scalable analytics solution
  • Teams interested in using SQL for data analysis
  • Data scientists integrating machine learning with their data workflows

Analysis of Craft Docs

Overall verdict

  • Craft Docs is generally considered to be an excellent choice for those looking for an intuitive and flexible document creation and note-taking app. Its strengths lie in its aesthetic appeal and functional integration, making it suitable for a wide range of users.

Why this product is good

  • Craft Docs, or craft.do, is regarded as a powerful tool for note-taking and document creation because of its sleek design, user-friendly interface, and collaborative features. It offers robust formatting options, seamless syncing across devices, and the ability to embed various types of media, making it a versatile platform for personal and professional use.

Recommended for

  • Individuals who value design and aesthetics in their productivity tools
  • Teams looking for a collaborative document editing platform
  • Users needing a versatile, cross-platform note-taking and document management solution
  • People who benefit from multimedia support in their documentation

Google BigQuery videos

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

Craft Docs videos

BUILD A HOME ON CRAFT DOCS ๐Ÿก

More videos:

  • Review - Digital Organization with Craft Docs: Key Features and How I Set It Up!

Category Popularity

0-100% (relative to Google BigQuery and Craft Docs)
Data Dashboard
100 100%
0% 0
Note Taking
0 0%
100% 100
Big Data
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google BigQuery and Craft Docs

Google BigQuery Reviews

Database for Data Analytics
Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis, historical analyticsSnowflake, Amazon Redshift, Google BigQueryContinuously ingests and processes data with minimal latency for real-time decision-making.Fraud...
Source: blog.devart.com
Data Warehouse Tools
Google BigQuery: Similar to Snowflake, BigQuery offers a pay-per-use model with separate charges for storage and queries. Storage costs start around $0.01 per GB per month, while on-demand queries are billed at $5 per TB processed.
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
You can also use BigQueryโ€™s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can quickly create and run machine learning (ML) models on semi or large-scale structured data using simple SQL and BigQuery ML. Also, enjoy a real-time interactive...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Google BigQuery is an incredible platform for enterprises that want to run complex analytical queries or โ€œheavyโ€ queries that operate using a large set of data. This means itโ€™s not ideal for running queries that are doing simple filtering or aggregation. So if your cloud data warehousing needs lightning-fast performance on a big set of data, Google BigQuery might be a great...
Top 5 BigQuery Alternatives: A Challenge of Complexity
BigQuery's emergence as an attractive analytics and data warehouse platform was a significant win, helping to drive a 45% increase in Google Cloud revenue in the last quarter. The company plans to maintain this momentum by focusing on a multi-cloud future where BigQuery advances the cause of democratized analytics.
Source: blog.panoply.io

Craft Docs Reviews

We have no reviews of Craft Docs yet.
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Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than Craft Docs. It has been mentiond 47 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.

Google BigQuery mentions (47)

  • Ruby on Rails Performance: 7 Lessons from Scaling FirstPromoter
    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
  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Google BigQuery - For large-scale data processing and SQL-based analysis. - Source: dev.to / 4 months ago
  • What if ML pipelines had a lock file?
    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
  • Best SQL Courses with Certificates for 2026
    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 transferabilityโ€”while dialects differ across PostgreSQL, SQL Server, and BigQuery, the fundamentals stay consistent. - Source: dev.to / 7 months ago
  • Why Your Snowflake Bill is High and How to Fix It with a Hybrid Approach
    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
View more

Craft Docs mentions (28)

  • Feature request: Backlinks for Text Blocks
    I use UpNote in part because it's not block-based. Blocks really screw up the way I like to edit. But if it's important to you, and if you're on a Mac you might look at Craft. It's not as user-friendly as UpNote, but it's just as feature-rich, and is block-based, with fantastic reciprocal linking. Source: about 3 years ago
  • Multi-purpose app recommendations
    Have a look at Craft and it's templates. https://craft.do/. Source: about 3 years ago
  • Reka.js - Build your own no-code editor โœจ
    Don't apologize! It was perfect! I'm sorry, I at first thought Craft.js was referencing craft.do, as they're both kind of page editors, so I didn't realize what it was at first. This is such wonderful work! Thank you for pointing it out to me! This looks like exactly what I need! Source: over 3 years ago
  • Ask HN: Who is hiring? (February 2023)
    Craft Docs (https://craft.do/) | Engineering (multiple roles) | Full Time | Remote (EU Timezone) or hybrid in Budapest (HU) or Edinburgh (UK) --- We're building an app for crafting beautiful documents and taking notes. Already available for 2 years, won the Mac App of the year 2021 award by Apple, good user base (individuals and business) and community (11k+ on Slack), raised a series B recently, plenty of runway,... - Source: Hacker News / over 3 years ago
  • Orbi is blocking Craft.do app and website
    The website and app works on every other network (cell, non-orbi wifi). I've tried the app and tried the web interface for Orbi, but haven't been able to find any way to unblock a specific domain. It's also not listed in the "Armor" settings as being a blocked threat. I have two office locations, both of which use Orbi, and both locations won't load craft.do. Source: over 3 years ago
View more

What are some alternatives?

When comparing Google BigQuery and Craft Docs, you can also consider the following products

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?

Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.

Looker - Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Capacities - A powerful note-taking tool. All your ideas โ€“ typed and connected.

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.

Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.