Google BigQuery VS ebates

• 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.

• Cashback Offers
  Ebates provides users with cashback on purchases from a wide variety of retailers, allowing users to save money while shopping.
• User-Friendly Interface
  The website and app are designed to be easy to use, making it simple for users to navigate and find deals.
• Wide Retailer Network
  Ebates partners with a large number of online stores, giving users access to discounts and cashback from many different retailers.
• Referral Program
  Ebates offers a referral program that rewards users for inviting friends to join the platform, which can increase their savings.
• Free Membership
  Joining Ebates is free of charge, and there are no hidden costs or membership fees for accessing its services.

Possible disadvantages

• Payment Delays
  Cashback payments are not instant; users may experience delays and typically receive their payouts every quarter.
• Variable Cashback Rates
  Cashback rates are set by the retailers and can vary significantly, meaning potential savings are not always guaranteed.
• Special Terms and Conditions
  Some cashback offers come with specific terms and conditions that can limit the applicability of the cashback to certain products or categories.
• Account Tracking
  Users need to remember to sign in through the Ebates portal every time they shop, or they risk not receiving cashback.
• Limited In-Store Cashback
  Although Ebates offers in-store cashback at select retailers, the majority of offers are online, which may not be convenient for all users.

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Tracking ebates since Mar 2021.