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Loqate VS Google BigQuery

Compare Loqate VS Google BigQuery and see what are their differences

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Loqate logo Loqate

The Standard in Global Address Verification

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Loqate Landing page
    Landing page //
    2023-08-20

Loqate is the most advanced software for capturing, verifying and enriching address data globally - delivering the unrivalled precision businesses need.

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

Loqate features and specs

  • Global Coverage
    Loqate provides comprehensive global address validation and geocoding services, covering virtually every country and territory in the world.
  • Accuracy
    Loqate offers high accuracy in address verification, ensuring that addresses are formatted correctly and exist in the real world, which is crucial for logistics and shipping.
  • Data Enrichment
    In addition to address validation, Loqate can enrich data with additional information such as geolocation coordinates and other relevant metadata.
  • Easy Integration
    Loqate provides APIs and SDKs that make it easy to integrate their services into various web applications, CRM systems, and other software solutions.
  • Real-time Processing
    The service supports real-time address validation and autocomplete, which improves user experience by speeding up data entry and reducing errors.
  • Scalability
    Loqate's infrastructure ensures that it can handle large volumes of data efficiently, making it suitable for both small businesses and large enterprises.

Possible disadvantages of Loqate

  • Cost
    Loqate's services can be expensive, especially for small businesses or startups with limited budgets.
  • Complexity
    Though the integration process is supported with clear documentation, the plethora of features and options can be overwhelming for users who are not technically adept.
  • Dependency on Internet
    Since Loqate's services are cloud-based, a stable internet connection is required for real-time processing, which might be a limitation in areas with poor connectivity.
  • Data Privacy
    Handling sensitive address data through third-party services can raise privacy concerns, and businesses must ensure compliance with data protection regulations like GDPR.
  • Support
    Some users have reported that customer support can be slow to respond or lacks depth in resolving complex issues.
  • Limited Customization
    While Loqate offers a wide range of features, some specific customization requirements may not be fully supported, requiring additional development or third-party tools.

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.

Analysis of Loqate

Overall verdict

  • Loqate is highly regarded for its precise and reliable services within the location intelligence domain. It is a good choice for businesses seeking to improve address validation and geolocation accuracy on a global scale.

Why this product is good

  • Loqate, a leading provider of location intelligence services, specializes in global address verification, validation, and geocoding solutions. They are renowned for their comprehensive and accurate global address data, helping businesses reduce failed deliveries, improve customer service, and streamline operations. Their services are particularly valued for their ability to handle complex international address formats seamlessly, ensuring reliable and efficient address management.

Recommended for

  • E-commerce businesses aiming to enhance delivery accuracy.
  • Companies looking to improve customer database quality.
  • Businesses with a global presence needing international address validation.
  • Logistics and supply chain firms seeking to optimize routes and delivery efficiency.

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

Loqate videos

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Google BigQuery videos

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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

Category Popularity

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

Loqate

Google BigQuery

Address Verification API
100 100%
Address Verification API
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Delivery Management System
100 100%
Delivery Management System
0% 0
Big Data
0 0%
Big Data
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 Loqate and Google BigQuery

Loqate Reviews

18 Top Google Places API Alternatives for Points of Interest Data in 2022
Using Loqate’s location software, you can allow your users to find the nearest retail store, hotel, restaurant or other venue near them.
Source: traveltime.com

Google BigQuery Reviews

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 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 more popular. It has been mentiond 42 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.

Loqate mentions (0)

We have not tracked any mentions of Loqate yet. Tracking of Loqate recommendations started around Mar 2021.

Google BigQuery mentions (42)

  • Every Database Will Support Iceberg — Here's Why
    This isn’t hypothetical. It’s already happening. Snowflake supports reading and writing Iceberg. Databricks added Iceberg interoperability via Unity Catalog. Redshift and BigQuery are working toward it. - Source: dev.to / about 1 month ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Many of these companies first tried achieving real-time results with batch systems like Snowflake or BigQuery. But they quickly found that even five-minute batch intervals weren't fast enough for today's event-driven needs. They turn to RisingWave for its simplicity, low operational burden, and easy integration with their existing PostgreSQL-based infrastructure. - Source: dev.to / about 1 month ago
  • How to Pitch Your Boss to Adopt Apache Iceberg?
    If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / about 2 months ago
  • Study Notes 2.2.7: Managing Schedules and Backfills with BigQuery in Kestra
    BigQuery Documentation: Google Cloud BigQuery. - Source: dev.to / 4 months ago
  • Docker vs. Kubernetes: Which Is Right for Your DevOps Pipeline?
    Pro Tip: Use Kubernetes operators to extend its functionality for specific cloud services like AWS RDS or GCP BigQuery. - Source: dev.to / 7 months ago
View more

What are some alternatives?

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

SAP Data Management - Sap Data Management is a flagship enterprise information management solution that facilities the organizations to manage data quality, migration of data, text analytics, and interconnectivity with both SAP and non-SAP system.

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

Smarty - Smarty provides address validation, autocomplete, geocoding and reverse geocoding services covering addresses in over 240+ countries.

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.

Fetchify - Fetchify is the new name for Crafty Clicks - we offer global address, phone, email and bank account validation integrations for most e-commerce and CRM platforms.

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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