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Ably VS Databricks

Compare Ably VS Databricks and see what are their differences

JackHamr
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Ably logo Ably

The realtime platform that just works. We power more WebSocket connections than any other pub/sub platform, serving over 2 billion devices monthly.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?
  • Ably Ably homepage
    Ably homepage //
    2024-08-05

We help teams deliver resilient AI UX and high-performance live experiences that stay fast and in sync worldwide. We provide the global realtime layer for AI agents, chat, notifications, live dashboards, and collaboration - engineered to handle peak demand without self-managed infrastructure.

Teams like HubSpot and Intercom use Ably to avoid the cost and complexity of building and operating realtime systems, while still getting predictable performance at serious scale, handling 2T+ API operations per month. Ablyโ€™s Pub/Sub, Chat, and AI Transport products are unified by design, with developer-friendly APIs and SDKs that integrate across your stack.

  • Databricks Landing page
    Landing page //
    2023-09-14

Ably

Website
ably.com
Pricing URL
Official Ably Pricing
$ Details
freemium
Release Date
2016 January
Startup details
Country
United Kingdom
Founder(s)
Matthew O'Riordan, Dr. Paddy Byers
Employees
50 - 99
Edit details

Databricks

Website
databricks.com
Pricing URL
Official Databricks Pricing
$ Details
Release Date
-
Edit details

Ably features and specs

  • Scalability
    Ably is designed to handle a massive number of concurrent connections and messages, making it scalable for both small and large applications.
  • Real-time Messaging
    Ably provides robust real-time messaging capabilities with low latency, supporting use-cases like live chat, gaming, and real-time data streaming.
  • Global Presence
    Ably has a globally distributed network, ensuring low latency and high availability for users around the world.
  • Advanced Features
    It offers advanced features such as message history, presence, and push notifications, which can enhance the functionality of real-time applications.
  • Security
    Ably includes built-in security features such as TLS encryption, token-based authentication, and private channels to ensure secure communication.
  • Extensive Documentation
    The service provides extensive and well-organized documentation, making it easier for developers to integrate and utilize its features.
  • SDKs and Libraries
    Ably offers a wide range of SDKs and libraries for different programming languages and platforms, easing the development process.
  • Reliable Delivery
    It ensures reliable message delivery with features like message queuing and message de-duplication.

Possible disadvantages of Ably

  • Complexity
    Due to its wide range of advanced features, the initial learning curve can be steep for new users.
  • Cost
    For large-scale applications or extensive use of advanced features, the costs can add up, making it potentially expensive.
  • Vendor Lock-in
    Relying heavily on Ablyโ€™s platform-specific features may result in vendor lock-in, making it challenging to switch to other services in the future.
  • Dependence on Internet Connection
    As a cloud-based service, Ablyโ€™s performance is highly dependent on the quality and reliability of the internet connection.
  • Third-party Integration
    While Ably offers various integration options, integrating certain third-party services may require additional custom development or may not be as seamless.

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

Analysis of Ably

Overall verdict

  • Ably is a reliable and efficient real-time messaging platform, well-suited for applications requiring high performance and scalability. It is generally well-regarded within the developer community for its ease of use and robust feature set.

Why this product is good

  • Features
    Ably provides a comprehensive suite of features such as pub/sub messaging, presence, and history.
  • Security
    It implements robust security practices including TLS encryption, token-based authentication, and private channels.
  • Integration
    Supports numerous protocols and provides SDKs for various programming languages, making it easy to integrate with different systems.
  • Reliability
    Ably offers high availability and low latency, ensuring messages are delivered in real-time.
  • Scalability
    The platform can handle millions of active connections and is designed for horizontal scaling.

Recommended for

  • developers building real-time applications like chat apps, dashboards, or multiplayer games
  • businesses in need of a scalable solution for live updates and notifications
  • teams looking for a platform with strong security and compliance credentials
  • organizations requiring integration with existing development workflows and tools

Ably videos

+ Add

How to build a collaborative environment around your product

More videos:

  • Demo - How to build an avatar stack with Ably Spaces
  • Demo - Ably 101: Serverless WebSockets at scale

Databricks videos

+ Add

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

0-100% (relative to Ably and Databricks)

Ably

Databricks

Developer Tools
100 100%
Developer Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Realtime Backend / API
100 100%
Realtime Backend / API
0% 0
Big Data Analytics
0 0%
Big Data Analytics
100% 100

User comments

Share your experience with using Ably and Databricks. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Ably and Databricks

Ably Reviews

We have no reviews of Ably yet.
Be the first one to post

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Source: www.shipyardapp.com
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.
Source: blog.bismart.com

Social recommendations and mentions

Ably might be a bit more popular than Databricks. We know about 26 links to it since March 2021 and only 18 links to Databricks. 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.

Ably mentions (26)

  • AWS us-east-1 outage: How Ablyโ€™s multi-region architecture held up
    During this weekโ€™s AWS us-east-1 outage, Ably maintained full service continuity with no customer impact. This was our multi-region architecture working exactly as designed; error rates were negligibly low and unchanged throughout. Any additional round trip latency was limited to 12ms, which is below the typical variance in any client-to-endpoint connection, and well below our 40โ€“50ms global median; this is... - Source: dev.to / 9 months ago
  • Real-Time Sync Alternatives: Vaultrice vs. localStorage, DIY, Firebase, Pusher
    Services like Pusher and Ably are experts in real-time messaging. They provide robust APIs for pub/sub channels, allowing you to broadcast events to clients reliably. - Source: dev.to / 11 months ago
  • CometChat Alternatives โ€“ Comparing the Top 10 Competitors
    Ably is a real-time infrastructure platform that focuses on delivering low-latency, reliable messaging across global distributed systems. It's designed for developers building event-driven applications, including chat, but also supports broader use cases like live dashboards, GPS tracking, and collaborative tools. - Source: dev.to / about 1 year ago
  • Real-Time Authorization in a Chat Application with Permit.io and WebSockets
    For our web socket-based application, weโ€™ll be using Next.js and Ably, a service that allows us to easily integrate and manage real-time capabilities in our apps powered by web socket. - Source: dev.to / over 1 year ago
  • Curiosity: Using Ably.io Realtime Messaging as a Lightweight Database
    Ably offers various solutions for developers, with their most popular being realtime messaging based on the pub/sub model. When you publish a message to a channel, all devices connected to that channel receive it instantly. - Source: dev.to / over 1 year ago
View more

Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโ€™s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: over 3 years ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 4 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 4 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 4 years ago
View more

What are some alternatives?

When comparing Ably and Databricks, you can also consider the following products

Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Socket.io - Realtime application framework (Node.JS server)

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.

PubNub - PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.

Looker - Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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