Software Alternatives, Accelerators & Startups

Apache Cassandra VS Funnel.io

Compare Apache Cassandra VS Funnel.io 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.

Funnel.io logo Funnel.io

Marketing analytics software for e-commerce companies and online marketers that automatically...
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • Funnel.io Landing page
    Landing page //
    2023-09-17

Funnel.io

Website
funnel.io
Release Date
2013 January
Startup details
Country
Sweden
City
Stockholm
Founder(s)
Fredrik Skantze
Employees
50 - 99

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.

Funnel.io features and specs

  • Comprehensive Data Integration
    Funnel.io supports a large number of data sources, making it easy to collect, integrate, and manage marketing data from disparate platforms in one unified dashboard.
  • User-Friendly Interface
    The platform provides an intuitive, easy-to-navigate interface that simplifies data management and allows users to create custom reports and dashboards without advanced technical skills.
  • Automation Capabilities
    Funnel.io offers robust automation features that can handle repetitive tasks, such as data importing, transformation, and loading, thereby saving time and reducing the potential for human error.
  • Scalability
    The platform is scalable, making it suitable for businesses of various sizes, from small startups to large enterprises. It can handle extensive datasets and complex reporting needs effectively.
  • Customizable Dashboards
    Users can create highly customizable dashboards that present data in a visually appealing and comprehensible manner, which aids in better decision-making.

Possible disadvantages of Funnel.io

  • Cost
    Funnel.io can be relatively expensive compared to other marketing data integration tools, which might not be suitable for small businesses or startups with limited budgets.
  • Learning Curve
    While the interface is user-friendly, there can still be a learning curve for new users to fully leverage all the features and capabilities that Funnel.io offers.
  • Limited Offline Capabilities
    Funnel.io is a cloud-based solution, which means it requires a stable internet connection for data access and manipulation. This can be a limitation in areas with unreliable internet connectivity.
  • Customer Support
    Some users have reported that customer support response times can be slow and that the quality of support may vary, which can be frustrating when dealing with urgent issues.
  • Third-Party Integration Limitations
    Despite supporting a wide range of data sources, some users might find that certain niche or less common platforms aren't supported, requiring additional manual data handling.

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

Analysis of Funnel.io

Overall verdict

  • Overall, Funnel.io is a reliable and efficient tool for businesses looking to streamline their marketing data processes. It helps teams save time and focus on analysis rather than data collection and manipulation, making it a valuable asset for organizations dealing with large volumes of data from multiple sources.

Why this product is good

  • Funnel.io is considered a good data integration and transformation tool due to its user-friendly interface, extensive data source support, and the ability to automate data collection and transformation without the need for coding. It is designed specifically for marketing data and provides users with the flexibility to export their data to a variety of destinations, which can save time and improve workflow efficiency.

Recommended for

  • Marketing professionals and teams who need to consolidate data from multiple sources.
  • Businesses looking to automate and simplify their reporting processes.
  • Organizations leveraging multiple digital marketing channels and requiring a unified data view.

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Funnel.io videos

Funnel.io - Advertising Reports & Dashboards

Category Popularity

0-100% (relative to Apache Cassandra and Funnel.io)
Databases
100 100%
0% 0
Marketing Analytics
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Marketing
0 0%
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 Apache Cassandra and Funnel.io

Apache Cassandra Reviews

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

Funnel.io Reviews

Best Affordable Alternatives to Supermetrics
Funnel.io is an automated data-collecting service that works like Supermetrics by ingesting marketing data from over 500 sources, applying transformations, and then pushing the data to a visualization platform, analytics tool, or data warehouse. Funnel.io stands out from the crowd because of its extensive data transformation tools and managed data warehouse services for...
Source: adsbot.co
Funnel.io Alternatives and Competitors in 2022
Funnel.io is great for small business owners and early-stage companies because it can be used on a month-to-month basis. Users are charged based on ad spend. While this is great in the beginning, as the company grows, the cost to use Funnel.io grows as well. It can also be used for enterprises.
Source: improvado.io
Top 5 Supermetrics Alternatives – Competitors, Cost, Features & Pricing Model
Funnel.io has a solid 4.5 rating based on 74 reviews on G2. Of course, there are a few complaints about the pricing, but in general, people are satisfied with Funnel.io.
Source: windsor.ai
Funnel.io — Data integration platform with 500+ data sources
Funnel.io provides a data integration platform with 500+ data sources. It allows you to load data from any marketing platform, normalise it (aka harmonise it) and visualise data in your favourite BI tool (Power BI, Data Studio, Tableau, …).
Source: www.windsor.ai
Top 5 Adverity Alternatives To Know About in 2020
The transformation section means that Funnel.io cleans up (e.g. date transformations), maps, and groups your data stream before loading it into a BI tool or database.
Source: www.windsor.ai

Social recommendations and mentions

Based on our record, Apache Cassandra should be more popular than Funnel.io. It has been mentiond 44 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 (44)

  • Why You Shouldn’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 2 months 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 / 7 months 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 / 12 months 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 1 year ago
  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 year ago
View more

Funnel.io mentions (10)

  • Connecting Instagram API
    There are like a 100 services that will do that for you. Something like this. Source: over 2 years ago
  • Looking For Single Connector Solutions For Digital Marketing
    Any digital marketers have experience working with single connectors for Google Data Studio? I really like the idea of plugging all the data sources into the ETL platform and having one connector for GDS. It appears funnel.io does this but it's far too expensive for us. Windsor.ai also looks ok but their pricing structure isn't ideal. Played around with Adverity as well but looking for something that's more plug... Source: over 2 years ago
  • Blends limitation
    From experience writing & maintaining custom ETLs in BigQuery, to paying/trying multiple data pipeline partners, to a sort-of middle ground like AirByte - this is not a plug - funnel.io has been the easiest and most cost effective by far. Source: over 3 years ago
  • Facebook ads resultat fake?
    You have to be careful with fb figures. Its well known in the industry that they arent accurate. With regards to funnel.io, if they are picking figures from FB then its also suspect. Source: over 3 years ago
  • Facebook ads resultat fake?
    The other platform (funnel.io) may use a different attribution window and/or it might not track across different devices (not sure here, never used funnel.io before). Source: over 3 years ago
View more

What are some alternatives?

When comparing Apache Cassandra and Funnel.io, you can also consider the following products

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

Supermetrics - Supermetrics simplifies marketing analytics by connecting, consolidating, and centralizing data from 150+ platforms into your favorite tools. Trusted by 200K+ organizations, we empower marketers to focus on insights, not manual work.

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

DataTap - Adverity is the best data intelligence software for data-driven decision making. Connect to all your sources and harmonize the data across all channels.

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

Improvado.io - Improvado is an ETL platform that extracts data from 300+ pre-built connectors, transforms it, and seamlessly loads the results to wherever you need them. No more Tedious Manual Work, Errors or Discrepancies. Contact us for a demo.