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Keboola VS Google BigQuery

Compare Keboola VS Google BigQuery and see what are their differences

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Keboola logo Keboola

Keboola is a next-gen data platform. It simplifies and accelerates data engineering, so companies get better results from their data operations.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Keboola Landing page
    Landing page //
    2022-03-11

Keboola enables data engineers, analysts, and engineers to collaborate on analytics and automation as a team, from extraction, transformation, data management, and pipeline orchestration to reverse ETL. Keboola provides a cloud-based data integration platform to support the entire workflow from data extraction, cleaning, warehousing, and enrichment, to ML-based predictions and loading. The platform is highly collaborative and solves the most significant hurdles of "IT" based solutions. Try us out! You will love the experience :)

  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Keboola videos

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Keboola + Looker

More videos:

  • Review - Keboola - extractors for Google Analytics
  • Demo - How Keboola works

Google BigQuery videos

No Google BigQuery videos yet. You could help us improve this page by suggesting one.

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Category Popularity

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

Keboola

Google BigQuery

Data Integration
100 100%
Data Integration
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
ETL
100 100%
ETL
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Keboola and Google BigQuery. For example, how are they different and which one is better?
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Reviews

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

Keboola Reviews

  1. Keboola is powerfull tool and incredible time saver

    I can't imagine working with data in our company without Keboola at the moment. Within a few minutes, I can set up a project and start work with data. Thanks to the simple interface, even a non-data person can work with Keboola. Keboola is an incredible time-saver.

    👍 Pros:    System simplicity|Etl|Wide range of data source connections|Decent variation of data backend|Excellent helpdesk
    👎 Cons:    User management|No mobile app|Generic extractor could be better
Top 10 Fivetran Alternatives - Listing the best ETL tools
Keboola is a cloud based ETL platform for the advanced user with a great degree of flexibility and customization options. It offers import and export of data and support a wide range of languages and features so you do most of your data operations in one place.
Source: weld.app
10 Best Open Source ETL Tools for Data Integration
The best ETL tool is the one that aligns with your demands and provides the solution that you are looking for. Perhaps, you can choose Keboola, Pentaho Kettle, CloverDX, Logstash, and Apache Kafka. However, you must go for Scriptella or Talend Open Studio if your team wants to save time manually creating and connecting data pipelines. These tools are perfect for technically...
Source: testsigma.com
The 28 Best Data Integration Tools and Software for 2020
Description: Keboola is a cloud-based data integration platform that connects data sources to analytics platforms. It supports the entire data workflow process, from the point of data extraction, preparation, cleansing, warehousing, and all the way to its integration, enrichment, and loading. Keboola offers more than 200 integrations and features an environment that allows...
Source: solutionsreview.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Keboola is a Software-as-a-Service (SaaS) data operation platform, which covers the entire data pipeline operational cycle. From ETL (extract-transform-load) jobs to orchestration and monitoring, Keboola provides a holistic platform for data management. The architecture is designed modularly as plug-and-play allowing for greater customization. In addition to all of the...
Source: www.analyticsinsight.net

Google BigQuery Reviews

Top 6 Cloud Data Warehouses in 2023
You can also use BigQuery’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 “heavy” queries that operate using a large set of data. This means it’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
16 Top Big Data Analytics Tools You Should Know About
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.
Source: www.analytixlabs.co.in

Social recommendations and mentions

Based on our record, Google BigQuery seems to be a lot more popular than Keboola. While we know about 35 links to Google BigQuery, we've tracked only 2 mentions of Keboola. 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.

Keboola mentions (2)

Google BigQuery mentions (35)

  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 8 months ago
  • Modern data stack: scaling people and technology at FINN
    Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 8 months ago
  • Running Transformations on BigQuery using dbt Cloud: step by step
    Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 9 months ago
  • Do I need a cloud computing–based data cloud company
    You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 10 months ago
  • I used ChatGPT to get an Internship
    Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 10 months ago
View more

What are some alternatives?

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

Pentaho - Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite...

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

Matillion - Matillion is a cloud-based data integration software.

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

Talend - Talend Cloud delivers a single, open platform for data integration across cloud and on-premises environments. Put more data to work for your business faster with Talend.

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.

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