Software Alternatives, Accelerators & Startups

Apache Cassandra VS Fetchify

Compare Apache Cassandra VS Fetchify and see what are their differences

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Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Fetchify logo Fetchify

Fetchify delivers fast, accurate address, email, phone and bank validation tools that help businesses capture clean, verified customer data, reduce failed deliveries and improve checkout experiences worldwide.
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • Fetchify Fetchify Address and Data Validation
    Fetchify Address and Data Validation //
    2025-11-11

Fetchify is a leading SaaS provider of data validation and cleansing tools designed to help businesses capture, verify and maintain accurate customer information across every digital touchpoint. Our powerful cloud-based APIs and plugins make it simple to integrate real-time address lookup, email, phone, and bank validation into your website, CRM, or ecommerce platform โ€” improving checkout conversion, reducing failed deliveries, and protecting data quality at source.

Built on trusted global datasets including Royal Mail PAFยฎ, Multiple Residence, and Not Yet Built data, Fetchify delivers unparalleled accuracy for UK and international addresses, with rooftop-level precision through Rooftop Geocodes. Our intelligent validation services ensure that every customer record โ€” from signup forms to order fulfilment โ€” is complete, verified, and compliant.

Fetchifyโ€™s SaaS platform is easy to deploy and scale, offering ready-made integrations with popular platforms such as Shopify, WooCommerce, Magento, Salesforce, and Microsoft Dynamics, as well as flexible REST APIs for custom applications. Developers can get started in minutes with simple documentation and transparent pay-as-you-go pricing or subscription plans.

Trusted by thousands of organisations across ecommerce, finance, logistics, retail, and marketing, Fetchifyโ€™s solutions reduce operational costs, improve customer experience, and ensure data integrity for smarter business decisions. Whether youโ€™re cleaning an existing database or preventing bad data at entry, Fetchify provides the reliable, scalable data validation tools your business needs to grow.

Apache Cassandra

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Fetchify

$ Details
paid Free Trial ยฃ25.0 / Monthly
Platforms
Microsoft Dynamics 365 NetSuite Salesforce Shopify Plus Magento WooCommerce Prestashop BigCommerce JavaScript Json REST API Google Chrome Firefox
Release Date
2008 October
Startup details
Country
United Kingdom
State
London
City
London
Founder(s)
Adam Stylo
Employees
10 - 19

Apache Cassandra features and specs

  • Scalability
    Apache Cassandra is designed for linear scalability and can handle large volumes of data across many commodity servers without a single point of failure.
  • High Availability
    Cassandra ensures high availability by replicating data across multiple nodes. Even if some nodes fail, the system remains operational.
  • Performance
    It provides fast writes and reads by using a peer-to-peer architecture, making it highly suitable for applications requiring quick data access.
  • Flexible Data Model
    Cassandra supports a flexible schema, allowing users to add new columns to a table at any time, making it adaptable for various use cases.
  • Geographical Distribution
    Data can be distributed across multiple data centers, ensuring low-latency access for geographically distributed users.
  • No Single Point of Failure
    Its decentralized nature ensures there is no single point of failure, which enhances resilience and fault-tolerance.

Possible disadvantages of Apache Cassandra

  • Complexity
    Managing and configuring Cassandra can be complex, requiring specialized knowledge and skills for optimal performance.
  • Eventual Consistency
    Cassandra follows an eventual consistency model, meaning that there might be a delay before all nodes have the latest data, which may not be suitable for all use cases.
  • Write-heavy Operations
    Although Cassandra handles writes efficiently, write-heavy workloads can lead to compaction issues and increased read latency.
  • Limited Query Capabilities
    Cassandra's query capabilities are relatively limited compared to traditional RDBMS, lacking support for complex joins and aggregations.
  • Maintenance Overhead
    Regular maintenance tasks such as node repair and compaction are necessary to ensure optimal performance, adding to the administrative overhead.
  • Tooling and Ecosystem
    While the ecosystem for Cassandra is growing, it is still not as extensive or mature as those for some other database technologies.

Fetchify features and specs

  • Global Address Auto-Complete
    Search as you type address validation for accurate global address data capture
  • Postcode Lookup
    Lookup UK Addresses quickly and easily with Royal Mail PAF postcode finder
  • Email Validation
    Capture valid email addresses, reduce spam risk and optimise campaign effectiveness with Email Address Validation
  • Phone Number Validation
    Check validity on global landline and mobile phone numbers
  • UK Bank Validation
    Validation UK Bank Account and Sort-Code data for accurate payment information capture
  • Data cleansing
    Cleanse out of date address lists, email contacts, phone numbers and bank accounts
  • Geolocation
    Add geolocation data to global addresses
  • Eircodes
    Validate addresses for the Republic of Ireland with Eircode data
  • UK PAF Multiple Residence
    Enhance UK PAF with Multiple Residence address lookups

Analysis of Apache Cassandra

Overall verdict

  • Apache Cassandra is an excellent choice if you require a database system that can efficiently manage large-scale data while ensuring high availability and reliability. It is particularly well-suited for use cases that demand a robust, distributed, and scalable database solution.

Why this product is good

  • Apache Cassandra is a highly scalable and distributed NoSQL database management system designed to handle large amounts of data across multiple commodity servers without a single point of failure. It offers robust support for replicating data across multiple data centers, thereby enhancing fault tolerance and availability. Its masterless architecture and linear scalability make it suitable for high throughput online transactional applications.

Recommended for

  • Applications that require high availability and fault tolerance
  • Systems with large volumes of write-heavy workloads
  • Organizations that need multi-data center replication
  • Businesses seeking a scalable solution for distributed databases
  • Use cases needing real-time data processing with low latency

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandraโ„ข

More videos:

  • Review - Introduction to Apache Cassandraโ„ข

Fetchify videos

No Fetchify videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Cassandra and Fetchify)
Databases
100 100%
0% 0
Address Verification API
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Address Finder
0 0%
100% 100

Questions & Answers

As answered by people managing Apache Cassandra and Fetchify.

What makes your product unique?

Fetchify's answer:

Fetchify combines powerful, developer-friendly APIs with trusted, high-quality address and data sources such as Royal Mail PAFยฎ, Multiple Residence, and Not Yet Built datasets to deliver unmatched accuracy. Unlike many validation tools, Fetchify provides granular rooftop-level geocoding, flexible integrations, and transparent pricing โ€” all through a single, reliable SaaS platform that scales effortlessly across ecommerce, CRM, and enterprise systems.

Why should a person choose your product over its competitors?

Fetchify's answer:

Fetchify offers a balance of accuracy, speed, and simplicity rarely matched in the data validation market. Our technology focuses on preventing bad data at entry rather than correcting it later, helping businesses cut failed deliveries, boost checkout conversion, and improve customer experience. With global coverage, robust uptime, UK-based support, and flexible APIs that fit effortlessly into existing workflows, and a knowledgable, accessible support team, Fetchify is the trusted alternative to providers like Loqate, Melissa, and Smarty.

How would you describe the primary audience of your product?

Fetchify's answer:

Fetchify is designed for businesses and developers who rely on accurate customer data โ€” from ecommerce and retail to logistics, finance, and marketing but the Fetchify product range is built for any SaaS platform to be lightweight, easy to implement and cost effective to use. Typical users include SaaS developers, data managers, digital marketers, and IT teams looking to integrate address lookup, email, phone, and bank validation directly into forms, CRMs, or websites to improve data quality and reduce operational friction.

What's the story behind your product?

Fetchify's answer:

Originally founded as Crafty Clicks in 2008, the business was acquired by software investment group ClearCourse in 2019. Since then, rebranding as Fetchify and investing in our people as well as our products, we have evolved from a simple UK postcode lookup service into a comprehensive SaaS data validation platform serving thousands of global businesses. Over the years, weโ€™ve expanded our product range, added international datasets, and continue our mission to make customer data cleaner, faster, and smarter for every business.

Which are the primary technologies used for building your product?

Fetchify's answer:

Fetchify is built on a modern, scalable cloud infrastructure using AWS and proprietary algorithms for high-speed query performance, and robust RESTful APIs for integration. Our services leverage multiple data sources including Royal Mail PAFยฎ, Ordnance Survey, USPS, and other global address providers. Continuous monitoring, automated scaling, and distributed clusters ensure reliability, speed, and resilience across all Fetchify validation products.

Who are some of the biggest customers of your product?

Fetchify's answer:

-Royal Bank of Scotland -SharkNinja -Security Watchdog -Gousto -The Access Group -Mattel -GTech -LG -The Kennel Club -Movember -Enterprise Rent-A-Car -Moonpig Group

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Cassandra and Fetchify

Apache Cassandra Reviews

Database Management Systems (DBMS) Comparison: SQL Server, MySQL, PostgreSQL, MongoDB, Oracle
Determine the type of data that your application will be handling. The options from the relational database list, like PostgreSQL or MySQL, are your top pick with structured data, while NoSQL options (MongoDB or Cassandra) are best used for unstructured or semi-structured data.
Source: blog.devart.com
20 Best Database Management Software and Tools of 2026
Apache Cassandra is a distributed database system designed for managing large volumes of structured data across multiple servers.
Source: infomineo.com
16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Fetchify Reviews

We have no reviews of Fetchify yet.
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Social recommendations and mentions

Based on our record, Apache Cassandra seems to be more popular. It has been mentiond 45 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.

Apache Cassandra mentions (45)

  • Why Apache IoTDB Is Written in Java: A Decade of Engineering Trade-offs
    When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVMโ€”such as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 3 months ago
  • Why You Shouldnโ€™t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / about 1 year ago
  • Data integrity in Ably Pub/Sub
    All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / over 1 year ago
  • Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More
    Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / about 2 years ago
  • Consistent Hashing: An Overview and Implementation in Golang
    Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 2 years ago
View more

Fetchify mentions (0)

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

What are some alternatives?

When comparing Apache Cassandra and Fetchify, you can also consider the following products

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Loqate - The Standard in Global Address Verification

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Ideal postcodes - We help businesses improve UX and data quality with a cutting edge address validation service.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Primo Postcodes - UK Postcode Address Lookup API - Maximise E-Commerce Checkouts, Increase Conversions, Reduce Data Entry & Improve Accuracy.