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Google BigQuery VS ToolJet

Compare Google BigQuery VS ToolJet and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Google BigQuery logo Google BigQuery

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

ToolJet logo ToolJet

Open-source alternative for Retool
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • ToolJet Landing page
    Landing page //
    2023-09-07

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.

ToolJet features and specs

  • Open-source
    ToolJet is an open-source platform, which means you can customize the tool to fit your specific needs while also benefiting from community contributions and transparency.
  • No-code/Low-code
    ToolJet allows users to build powerful applications with minimal to no coding, making it accessible to non-developers and reducing the time required to develop applications.
  • Integration
    ToolJet offers integrations with various databases, APIs, and third-party services, enabling seamless data flow and interaction with other tools.
  • Extensibility
    The platform can be extended with custom widgets and functionalities, allowing developers to add specific features not available out-of-the-box.
  • Community Support
    As an open-source tool, ToolJet has a growing community of users and developers who contribute to its development and provide support through forums and repositories.

Possible disadvantages of ToolJet

  • Learning Curve
    Despite its no-code nature, there might be a learning curve for non-developers unfamiliar with the concepts of application building and data management.
  • Documentation
    As with many open-source projects, documentation quality can vary and may not be as comprehensive as that of commercial alternatives.
  • Scalability
    Depending on deployment and usage, scaling applications might require additional infrastructure management and technical know-how.
  • Support
    While community support is available, it might lack the immediate and guaranteed assistance found in commercial products with dedicated support teams.
  • Feature Gaps
    Being a relatively newer and open-source tool, ToolJet may lack some advanced features found in more mature or commercial platforms.

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 ToolJet

Overall verdict

  • Overall, ToolJet is considered a reliable and efficient tool for building applications fast, especially suited for teams looking to reduce development time and costs while maintaining flexibility and control over their projects.

Why this product is good

  • ToolJet is a low-code platform that allows developers and teams to build and deploy applications quickly without extensive coding. It includes a variety of built-in features such as integrations with databases and APIs, drag-and-drop interface components, and collaborative tools that facilitate teamwork. Its open-source nature also allows users to customize and extend its functionalities as needed.

Recommended for

  • Startups looking to prototype quickly
  • Developers seeking to reduce coding time
  • Teams requiring a collaborative development environment
  • Organizations wanting to build internal tools efficiently
  • Non-developers needing to create applications with minimal coding

Google BigQuery videos

+ Add

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

ToolJet videos

+ Add

ToolJet - Introduction

More videos:

  • Review - FOSS Meetup - July 2021 | AdonisJS | Cloud Native chaos | ToolJet | FOSS United

Category Popularity

0-100% (relative to Google BigQuery and ToolJet)

Google BigQuery

ToolJet

Data Dashboard
100 100%
Data Dashboard
0% 0
No Code
0 0%
No Code
100% 100
Big Data
100 100%
Big Data
0% 0
Developer Tools
0 0%
Developer Tools
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 ToolJet

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...
Source: www.shipyardapp.com
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

ToolJet Reviews

Top 9 Low-Code Tools for 2023 for low-code development
Tooljet is a low-code development platform that empowers users to build web and mobile applications without extensive coding knowledge. It offers a drag-and-drop interface, pre-built templates, and a range of components for rapid application development. Tooljet supports integrations with popular databases and external services, allowing users to create dynamic and...
Source: blog.illacloud.com
Appsmith vs. Tooljet: Which Low-Code Platform is Better for You?
In this blog post, we will compare two popular LCDPs for building internal tools: Appsmith and Tooljet. We will also introduce ILLA Cloud, a new and innovative LCDP that offers a viable alternative to Appsmith and Tooljet.
Source: blog.illacloud.com

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than ToolJet. 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 / 4 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 / 5 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 / 6 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 / 8 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 / 9 months ago
View more

ToolJet mentions (13)

  • Building an intelligent CRM using ChatGPT, PostgreSQL, and ToolJet
    You can also download its JSON file and import it into a ToolJet app, but you'll need to provide your Sendinblue credentials and OpenAI API key. - Source: dev.to / about 3 years ago
  • Adding ability to import packages using Micropip to our low-code web framework - ToolJet
    You can quickly try out this feature on ToolJet Cloud (https://tooljet.com) or on your local machine (https://docs.tooljet.com/docs/setup/try-tooljet). Source: over 3 years ago
  • Building Recruitment Management App using Appwrite and ToolJet (Part 1)
    ToolJet (https://github.com/ToolJet/ToolJet): A free and open-source low-code platform that allows you to quickly build applications. Sign up here. - Source: dev.to / over 4 years ago
  • Build a coupon code manager app in 30 minutes
    This tutorial will guide you to build a CRUD app that will let you create new coupons, edit or delete existing coupons. We will be using ToolJet to build this application and will use Google Sheets as the data source. - Source: dev.to / over 4 years ago
  • Best (Free) Web-based Front-end Form for an SQL Database
    Checkout https://retool.com/ or https://tooljet.com/. Built for exactly this purpose. Source: over 4 years ago
View more

What are some alternatives?

When comparing Google BigQuery and ToolJet, 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?

Retool - Build custom internal tools in minutes.

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.

Appsmith - Appsmith is an open source web framework for building internal tools, admin panels, dashboards, and workflows.

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.

Budibase - What Wordpress is to websites, Budibase is to web apps. Budibase is a free and open source web app builder for creating, launching and growing web applications. Budibase eliminates repetition and dramatically reduces development time. Check it out.

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