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Pipefy VS Apache Cassandra

Compare Pipefy VS Apache Cassandra and see what are their differences

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Holistic service management: service, support + customer care. From Ticketing to Helpdesk, Service Desk, ITSM to Enterprise Service Management, Service Technician and Field Service Management (FSM)... featured
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Pipefy logo Pipefy

Pipefy is a process management software that empowers anyone to create and automate efficient workflows on their own without code.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Pipefy Landing page
    Landing page //
    2023-05-09

Pipefy is a workflow management software that makes business processes such as purchasing, onboarding, and recruiting hassle-free. By empowering non-technical workers to create and automate workflows without IT support, Pipefy enhances speed and delivers higher quality outcomes

  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

Pipefy

Website
pipefy.com
Pricing URL
Official Pipefy Pricing
$ Details
freemium $22.0 / Monthly (user/month)
Platforms
Google Chrome Internet Explorer Windows Browser Web Android iOS Linux Mac OSX Chrome OS
Release Date
2016 March
Startup details
Country
United States
State
California
City
San Francisco
Founder(s)
Alessio Alionco
Employees
250 - 499
Edit details

Apache Cassandra

Website
cassandra.apache.org
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

Pipefy features and specs

  • User-Friendly Interface
    Pipefy offers a clean and intuitive user interface that makes it easy for users to navigate and manage processes without extensive training.
  • Customizable Workflows
    The platform provides highly customizable workflows that allow users to tailor processes to their specific needs, enabling greater control and efficiency.
  • Automation
    Pipefy includes robust automation features that help streamline repetitive tasks, reduce manual errors, and save time.
  • Integrations
    Pipefy supports integrations with various other tools and services, enhancing its functionality and allowing for seamless data flow between applications.
  • Collaboration Tools
    The platform offers various collaboration tools like comments, notifications, and shared views, which facilitate team communication and coordination.

Possible disadvantages of Pipefy

  • Pricing
    The cost can be relatively high, especially for small businesses or startups with limited budgets. Some features are only available in higher-tier plans.
  • Learning Curve for Advanced Features
    While the basic interface is user-friendly, mastering the more advanced features and customization options may require some time and effort.
  • Limited Mobile Functionality
    The mobile app lacks some functionality compared to the desktop version, which can be a limiting factor for users who need full access on the go.
  • Performance Issues
    Some users have reported performance issues such as slow load times and occasional glitches, which can hinder productivity.
  • Customer Support
    Though generally responsive, some users have noted that customer support can sometimes be slow to resolve complex issues.

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.

Analysis of Pipefy

Overall verdict

  • Pipefy is generally considered a strong option for businesses and teams seeking a versatile and intuitive workflow management solution. While every organization will have particular needs, the feedback from many users indicates high satisfaction with its capabilities, adaptability, and ease of use.

Why this product is good

  • Pipefy is a robust workflow management platform that allows teams to organize and optimize their processes. It is praised for its user-friendly interface, flexibility, and powerful automation features. Users appreciate the ability to easily create custom workflows without requiring extensive technical knowledge. Its integration capabilities with various tools and applications also enhance its functionality, making it a strong choice for businesses looking to improve operational efficiency.

Recommended for

  • Small to medium-sized businesses looking to streamline their workflow processes.
  • Teams needing a highly customizable and user-friendly workflow management tool.
  • Organizations aiming to automate repetitive tasks and integrate seamlessly with other tools.
  • Business operations that prefer a platform with strong customer support and continuous updates.

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

Pipefy videos

+ Add

How to Optimize Company Processes with Pipefy (you might not need a CRM)

More videos:

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to Pipefy and Apache Cassandra)

Pipefy

Apache Cassandra

Workflow Automation
100 100%
Workflow Automation
0% 0
Databases
0 0%
Databases
100% 100
Automation
100 100%
Automation
0% 0
NoSQL Databases
0 0%
NoSQL Databases
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 Pipefy and Apache Cassandra

Pipefy Reviews

Top Workflow Management Systems on the Market
Your team members see their work in the My Work section, where they find all the cards currently assigned to them. They also see some extra information there, like the pipe and phase of each card. Some of this information may not always be relevant, but Pipefy follows the philosophy that it’s better to have something and not need it than to need it.
Source: www.pneumatic.app
11 Business Process Management (BPM) Software for SMBs
Pipefy produces automatic reports based on active work. Since your operations change daily, It helps you adjust your processes according to the changes. Forget about loading the output manually to the back-office system; just describe the whole process from beginning to the end, and Pipefy will do the rest and transform the way you work.
Source: geekflare.com
Pipefy Review — How Good Is It In 2023?
Pipefy’s unique feature is databases — it lets you store information relevant to your processes inside Pipefy without having to rely on any external storage solutions. You can then reuse this information in other pipes. This can be very convenient.
Source: www.pneumatic.app

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.
Source: www.analytixlabs.co.in
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

Social recommendations and mentions

Based on our record, Apache Cassandra seems to be more popular. 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.

Pipefy mentions (0)

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

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 1 month 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 / 6 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 / 11 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
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What are some alternatives?

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

Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.

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

Process Street - Create beautiful rich process documents in a simple to follow checklist format. Fast, free and incredibly simple to use.

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

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

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

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