Software Alternatives, Accelerators & Startups
Register | Login

Google BigQuery VS Wise

Compare Google BigQuery VS Wise and see what are their differences

Electe
Illuminate the future with AI featured
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.
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.

Wise logo Wise

Currency exchange Banks and other providers could charge you up to 5% in hidden costs when sending ...
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Wise Landing page
    Landing page //
    2023-09-02

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.

Wise features and specs

  • Low Fees
    Wise offers competitive and transparent fees compared to traditional banks and many other money transfer services.
  • Real Exchange Rates
    Wise uses the mid-market exchange rate, meaning users get the real exchange rate without any hidden markups.
  • Fast Transfers
    Many transfers through Wise are processed quickly, often within a few hours or a day, depending on the destination country and payment method.
  • Multi-Currency Accounts
    Users can hold and manage money in multiple currencies with Wise's Borderless Account, making it easier for those who deal with international payments regularly.
  • Transparent Pricing
    Wise is upfront about their fees and the total cost of a transfer, so users know exactly how much they'll pay and how much the recipient will receive.
  • User-Friendly Interface
    Wise offers a clean and intuitive application and web interface, making it easy for users to navigate and complete transactions.

Possible disadvantages of Wise

  • Limited Customer Support
    Wise's customer support is primarily online, and some users report difficulties in reaching live assistance or having slow response times.
  • Transfer Limits
    There are limits on how much money can be transferred in a single transaction or over a period of time, which might be restrictive for some users.
  • Lack of Physical Locations
    Unlike traditional banks, Wise doesn't have physical branches, which can be an inconvenience for those who prefer in-person banking services.
  • Verification Process
    New users or those making large transfers may have to go through a lengthy verification process, which can delay the initial transaction.
  • Not Available in All Countries
    Wise does not operate in every country, limiting its accessibility for some users looking to send or receive international payments.
  • Occasional Delays
    While generally fast, some transfers may experience delays due to various factors, such as banking hours, holiday schedules, or compliance checks.

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 Wise

Overall verdict

  • Overall, Wise is highly regarded as one of the top options for international money transfers. It is praised for its transparency, cost-effectiveness, and ease of use, making it a preferred choice for many users.

Why this product is good

  • Wise is considered a reliable and efficient service for international money transfers due to its transparent fee structure and competitive exchange rates. The platform uses a mid-market exchange rate with no hidden fees, making it a popular choice for individuals and businesses looking to transfer money across borders. Additionally, Wise is known for its user-friendly interface and fast transfer speeds.

Recommended for

  • Individuals needing to send money abroad frequently.
  • Expats living in foreign countries who need to transfer money to home accounts.
  • Freelancers and remote workers receiving payments from international clients.
  • Businesses conducting international transactions.

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

Wise videos

+ Add

TransferWise Review - 3 Must Knows (2020)

More videos:

  • Review - TransferWise in detail
  • Review - Transferwise Review

Category Popularity

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

Google BigQuery

Wise

Data Dashboard
100 100%
Data Dashboard
0% 0
Online Payments
0 0%
Online Payments
100% 100
Big Data
100 100%
Big Data
0% 0
Money Transfer
0 0%
Money Transfer
100% 100

User comments

Share your experience with using Google BigQuery and Wise. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Wise Reviews

The 8 Best Payment Processing Systems
Wise is a payments system specifically geared at cross-border payments. You can benefit from transparent pricing and its broad reach. It does focus on international payments, so if you're looking for recurring payments or integration capabilities, other options could be a good bet.
Source: gocardless.com
6 Cheaper Payoneer Alternatives for Your Online Transcations
Wise is a well-known alternative to traditional banking and offers competitive rates for international money transfers. It operates on a peer-to-peer system, ensuring low fees by matching individuals who want to exchange currency in different countries.
Source: www.withparallax.com
Top 5 Payoneer Alternatives [2024]
Wise offers fast, convenient transfers with transparent fees based on mid-market exchange rates, as well as a multi-currency account for both individual and business customers. While Wise offers several tools for business customers, such as expense cards, it is not as extensive as those offered by Payoneer. On the other hand, Payoneerโ€™s fee structure is only transparent on...
Source: www.exiap.com
Top 5 Payoneer Alternatives for Seamless Online Transactions
Both offer global transactions, but Wise shines with competitive exchange rates and transparent fees, while Payoneer focuses on receiving payments with features like virtual cards. Choose Wise for cost-effectiveness, Payoneer for easy receiving.
Source: www.doola.com
Best money transfer apps of 2021
TransferWise does also offer Business pricing, which adds in extra features that are free, including the ability to receive money in EUR, USD, GBP, PLN, AUD and NZD currencies without charge. However, this comes with a 0.33%-3.56% fee to convert currencies. The supporting TransferWise debit Mastercard comes free too, with the same currency conversion fee of 0.33%-3.56% plus...
Source: www.techradar.com

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than Wise. 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

Wise mentions (24)

  • Which bank in vietnam have the lowest fee for overseas remittance?
    I don't think you need to be a holder of both. I put my mom on my Wells Fargo account and she sent to my account. There is also https://wise.com/us/ . This one I have used to send to someones account in Vietnam. It does have slightly higher fee. But it goes straight into their account. From Wells Fargo I would have to go and get USD then exchange it to Vietnamese currency. Source: about 3 years ago
  • We are happy to welcome you to Auction 88 โ€” Coins of The World.
    They invoice in Euros (Czech Republic) so also be aware of fees on payments. I've successfully used TransferWise (https://wise.com/us/). Source: about 3 years ago
  • Recommend me a first credit card with 0 foreign tx fee
    It's not a credit card. It's just a way to convert currency w/o a fee. https://wise.com/us/. Source: over 3 years ago
  • Renting an apartment without a US Bank account?
    Get a Wise account. Open one in your local currency, and one in US currency. I was doing that for the first few months. Source: over 3 years ago
  • My New Client Is Asking Me For My Bank Info
    Iโ€™ve used Wise for bank payments from international clients before: https://wise.com/us/ that way youโ€™re not giving them your actual bank info but the process is similar on the clientโ€™s end. Source: over 3 years ago
View more

What are some alternatives?

When comparing Google BigQuery and Wise, 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?

Bill.com - Your financial operations platform. The intelligent way to create and pay bills, send invoices, manage expenses, control budgets, and access the credit your business needs to growโ€”all on one platform.

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.

Zoho Invoice - 100% free online invoicing software for small businesses.

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.

The Invoice Machine - The Invoice Machine is an online invoicing service with a simple and elegant user interface.

Loading...