Software Alternatives, Accelerators & Startups
Register | Login

Google BigQuery VS ipapi

Compare Google BigQuery VS ipapi and see what are their differences

warmup.rocks
warmup.rocks keeps your CDN cache warm in every edge location worldwide: Cloudflare, Fastly, Akamai, CloudFront and more. Warming from 42 countries, hit-ratio analytics. 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.

ipapi logo ipapi

Web analytics with IP address lookup and location API
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • ipapi Landing page
    Landing page //
    2022-06-20

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.

ipapi features and specs

  • Comprehensive Data
    ipapi offers a wide range of data points such as geographic location, time zone, currency, and security-related information, which can be useful for various applications.
  • Real-time Updates
    The API provides real-time updates, ensuring that the information obtained is current and accurate.
  • Easy Integration
    The API is designed to be developer-friendly with a simple and straightforward integration process, supported by extensive documentation.
  • Scalability
    ipapi is built to handle a high volume of requests, making it suitable for businesses of all sizes.
  • Security Features
    Provides security-related data such as whether the IP address is a proxy, crawler, or threat, helping to improve the security of your application.

Possible disadvantages of ipapi

  • Cost
    Advanced features and higher usage plans can be costly, especially for small businesses or independent developers.
  • Data Accuracy
    While generally reliable, the accuracy of geolocation data can sometimes be off, especially for mobile and ISP-managed IP addresses.
  • Rate Limiting
    Free and lower-tiered plans come with rate limits, which can be restrictive for high-volume requirements.
  • Dependency on Third-Party Service
    Relying on an external service means you're dependent on their uptime and reliability, which could impact your applications if their service goes down.
  • Privacy Concerns
    Using IP geolocation services might raise privacy concerns among users who are particular about their data, as it involves tracking and storing IP addresses.

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 ipapi

Overall verdict

  • IPapi.co is generally considered a good service for businesses and developers who need reliable IP geolocation data. With its comprehensive set of features, scalable pricing plans, and ease of use, it suits the needs of many users wishing to integrate location services into their applications.

Why this product is good

  • ipapi.co is a popular IP address lookup service that offers real-time geolocation and IP data via a simple to use API. It is favored for its accuracy, speed, ease of integration, and affordability. The service provides detailed information such as location, currency, timezone, and ASN data, making it suitable for various applications.

Recommended for

    Developers, businesses, and organizations seeking to enhance their applications with IP geolocation services. It's especially beneficial for projects involving fraud prevention, targeted content delivery, marketing analysis, and user experience customization.

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

ipapi videos

+ Add

How to use the Ipapi API to find information about IP addresses

More videos:

Category Popularity

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

Google BigQuery

ipapi

Data Dashboard
100 100%
Data Dashboard
0% 0
IP Data
0 0%
IP Data
100% 100
Big Data
100 100%
Big Data
0% 0
Geolocation
0 0%
Geolocation
100% 100

User comments

Share your experience with using Google BigQuery and ipapi. 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 ipapi

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

ipapi Reviews

We have no reviews of ipapi yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than ipapi. 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 / 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 / 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 / 8 months ago
View more

ipapi mentions (21)

  • Building a CMS-Level Firewall: Why Application Context Matters
    // API 1: ip-api.com (free, no key needed, 45 req/min) $response = $http->get("http://ip-api.com/json/{$ip}?fields=proxy,hosting"); If (!empty($data['proxy']) || !empty($data['hosting'])) { return true; // VPN/Proxy detected } // API 2: ipinfo.io (fallback) $response = $http->get("https://ipinfo.io/{$ip}/json"); // Check 'org' field for hosting/vpn/proxy keywords // API 3: ipapi.co (fallback) $response =... - Source: dev.to / 7 months ago
  • 20 Free Api For Your Next Project
    IPapi - Service that provides you an info about an IP address. - Source: dev.to / about 2 years ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Ipapi - IP Address Location API by Kloudend, Inc - A reliable geolocation API built on AWS, trusted by Fortune 500. The free tier offers 30k lookups/month (1k/day) without signup. - Source: dev.to / over 2 years ago
  • Lookout! VPN Brute Force Attempts from 109.206.242.48
    Yeah still confused as to where you are getting https://www.criminalip.io/en and https://ipapi.co/ from iplocation.net (which I use all the time to also get GEO-IP location). Source: about 3 years ago
  • Lookout! VPN Brute Force Attempts from 109.206.242.48
    I would suggest reaching out to this company https://www.criminalip.io/en as well as this company. https://ipapi.co/. Source: about 3 years ago
View more

What are some alternatives?

When comparing Google BigQuery and ipapi, 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?

ipinfo.io - Simple IP address information.

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.

ipstack - ipstack is a free, real-time IP address to location JSON API and database service supporting IPv4 and IPv6 lookup.

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.

ipgeolocation.io - Free IP Geolocation API and Accurate GeoIP Lookup Location Database

Loading...