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Which is more popular?
Based on our record, Google BigQuery
seems to be a lot more popular than Gnumeric.
While we know about 48 links to Google BigQuery,
we've tracked only 2 mentions of Gnumeric.
social mentions
48 vs 2
Data Dashboard popularity
100% vs 0%
alternatives listed
240+ vs 62
Base details
Website, pricing, platforms and company facts side by side.
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
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.
Lightweight Gnumeric is known for being lightweight and faster to load compared to other spreadsheet software like Microsoft Excel or LibreOffice Calc, making it ideal for users with older hardware or for those who need quick access to spreadsheets.
Accuracy Gnumeric is renowned for its calculation accuracy, often outperforming other spreadsheet programs in complex mathematical computations, which is beneficial for users who require precise numerical results.
Open Source Being an open-source application, Gnumeric allows users to modify and distribute the software according to the GPL license, fostering a community of contributors and enabling transparency and customizability.
Compatibility Gnumeric supports a wide range of file formats, including Excel (.xls and .xlsx), allowing users to open and save documents in these formats which ensures interoperability with other spreadsheet tools.
Possible disadvantages
Limited Features While Gnumeric covers most basic and advanced spreadsheet functionalities, it lacks some of the more sophisticated features found in Excel or Google Sheets, such as advanced data visualization tools and certain analytic functions.
User Interface The user interface of Gnumeric may seem outdated or less intuitive compared to modern spreadsheet applications, which might not appeal to users accustomed to more polished UIs.
Ecosystem Integration Gnumeric does not integrate as seamlessly into productivity ecosystems compared to solutions like Microsoft Excel, which benefits from integration with other Microsoft Office applications.
Community Support Although Gnumeric is open-source, the community is smaller compared to bigger suites like LibreOffice or Microsoft Office, which might limit the availability of tutorials, forums, and third-party support resources.
Analysis
An editorial look at what each product does well and who it suits.
Google BigQueryGnumeric
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
Overall verdict
Gnumeric is a good choice for users who need a reliable, fast, and accurate spreadsheet tool, particularly for complex calculations and data analysis. It may lack some advanced features found in mainstream commercial products, but it makes up for this with its precision and performance.
Why this product is good
Gnumeric is a free and open-source spreadsheet application that is part of the GNOME Free Software Desktop Project. It is highly regarded for its accuracy, especially in statistical operations, and it offers a wide range of features comparable to other spreadsheet software like Microsoft Excel. Gnumeric is lightweight, which makes it fast and efficient, and it supports various file formats, including Excel, making it easy to share and collaborate with users of other spreadsheet programs.
Recommended for
Gnumeric is recommended for data analysts, researchers, and students who require a robust spreadsheet application for statistical analysis and computational tasks. It is also suitable for Linux users seeking a native spreadsheet solution, as well as users who prefer open-source software solutions.
Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis,...
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...
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...
Recommendations tracked on public social media and blogs since March 2021.
Google BigQuery48 mentionsGnumeric2 mentions
Google Analytics Queries for BigQuery
Google Analytics 4 can be directly connected to Google BigQuery, allowing us to work with the underlying data in our ways.
- Source: dev.to
/
6 days 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 — we initially moved too aggressively and actually reverted some queries...
- Source: dev.to
/
7 months ago
Gnumeric is actually a good excel. The stats routines are shared with R so if ever someone demonstrates a bug, it is fixed! Free, fast, accurate. Pick any three! http://gnumeric.org.
- Source: Hacker News
/
about 3 years ago
Any Suckless Excel like tool?
I can recommend http://gnumeric.org/. It is really fast, accurate and relative light weight compared to libreoffice calc.
Source:
over 3 years ago
Alternatives to Google BigQuery and Gnumeric
When comparing Google BigQuery and Gnumeric, you can also consider the following products.
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.
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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Microsoft Office Excel
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Apple Numbers
EtherCalc
Apache OpenOffice Calc
ONLYOFFICE
scim
