Ably vs DBLab Engine comparison

Ably and Postgres.AI are both solutions in the AWS Marketplace category. Ably is ranked #11 with an average rating of 9.0, while Postgres.AI is ranked #114 with an average rating of 7.5. Ably holds a 0.2% mindshare in AWSM, compared to Postgres.AI’s 0.2% mindshare. Additionally, 100% of Ably users are willing to recommend the solution, compared to 100% of Postgres.AI users who would recommend it.

Ably

Read 6 Ably reviews

1,656 Views
1,159 Comparison Views

100% willing to recommend

DBLab Engine

Read 2 DBLab Engine reviews

1,349 Views
931 Comparison Views

100% willing to recommend

Ably

DBLab Engine

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Ably and DBLab Engine based on real PeerSpot user reviews.

Find out in this report how the two AWS Marketplace solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Ably vs. DBLab Engine Report (Updated: July 2026).

Buyer's Guide

Ably vs. DBLab Engine

July 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Ably

Ranking in AWS Marketplace

11th

Average Rating

9.0

Number of Reviews

Ranking in other categories

No ranking in other categories

DBLab Engine

Ranking in AWS Marketplace

114th

Average Rating

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the AWS Marketplace category, the mindshare of Ably is 0.2%, up from 0.1% compared to the previous year. The mindshare of DBLab Engine is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AWS Marketplace Mindshare Distribution
Product	Mindshare (%)
Ably	0.2%
DBLab Engine	0.2%
Other	99.6%

AWS Marketplace

Featured Reviews

Uday Nagpure

Program Manager at Zensar Technologies

Reduced manual work and built reliable real-time collaboration with serverless messaging

I love Ably for its advanced pub/sub messaging capabilities, which help us with messaging Delta Compression, allowing us to send only changes from previous messages instead of entire payloads every time. For example, if I have to say 'hi', instead of sending the whole payload, it only sends the change in the current payload, reducing bandwidth consumption and enabling high-frequency data streaming. This major change has made our clients really happy as they receive notifications and messages without latency. Additionally, if a client goes offline, Ably stores messages in history for up to 72 hours, allowing clients to query history and catch up on missed events, ensuring complete stream continuity. It also supports multi-protocol, using WebSockets and gracefully falling back to server-sent events and long polling as needed, including support for MQTT and IoT devices along with pub/sub control for easy migration.I appreciate the serverless integration that has the integrated native web hook, instantly triggering serverless functions such as AWS Lambda and Azure Function when specific real-time events occur. It also allows Kafka Connector for seamless ingestion of messages from Kafka topics to stream them out to millions of users in milliseconds.

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reviewer2845797

Software Engineer at a transportation company with 51-200 employees

Rapid database cloning has accelerated realistic testing but initial setup still needs simplification

I only used DBLab Engine for a while, but I already see many benefits. I can think of applications not only in the hackathon, but we can also probably do some black-box monitoring, set up some simulation environments, and I think it is very helpful to have this kind of automatic testing to ensure that whenever our new feature is delivered, there are no regressions. In my experience, the absolute best feature of DBLab Engine is the thin cloning capability driven by copy-on-write technology. Being able to provide a full-size production-scale database clone in just a few seconds, regardless of whether the underlying database is tens of gigabytes or multiple terabytes, is a massive game-changer for engineering velocity. I really would to try more. The complete environment isolation is also very fantastic. I have noticed that the thin cloning and environmental isolation of DBLab Engine have dramatically accelerated our development lifecycle and improved overall code quality, even in a hackathon. Before utilizing this, setting up a realistic test database was a major bottleneck. Developers either had to share a single staging database or spend hours trying to seed a local database with a thin, representative subset of mock data. With DBLab Engine, we achieved complete workflow interdependence, which was incredibly helpful.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Ably's API integration is intuitive; it definitely improved our efficiency, and we saw faster user interaction and around a 20% reduction in latency during peak times, which improved user experience as well."

"Ably has improved our organization by enhancing real-time communication capabilities and providing reliable data delivery."

"Ably has positively impacted our organization by providing a good return on investment by avoiding the labor cost of building and maintaining a custom WebSocket server."

"Ably has a big capacity to stream data all over the world, has higher reliability and a 99.99% uptime, offers robust security guarantees and ease of integration, and saved at least 80% of the cost that would have required more developers and more time for integration testing and development."

"We experience vast improvements across many areas with Ably; when users connect bank accounts, we previously had to poll repeatedly, which is now replaced by Ably's real-time infrastructure that maintains a persistent back-end connection, significantly reducing the need for infrastructure management and API load, resulting in average bank connection display times decreasing from eight to twelve seconds down to one to two seconds, and with persistent back-end connections reducing API calls, we achieve a lower operational load, seeing an impressive reduction of thirty thousand to forty thousand calls monthly."

"My most-liked feature is its highly reliable real-time messaging capacity."

"For PostgreSQL, DBLab Engine is the best tool where we can write the queries, develop the query, and also test that query."

"In my experience, the absolute best feature of DBLab Engine is the thin cloning capability driven by copy-on-write technology."

Cons

"Ably can be improved in several areas."

"It falls just short of a perfect ten only because full twenty-four-hour phone or live chat escalation is heavily gated behind their highest enterprise pricing tiers."

"Overall, Ably appears strong for managed real-time operations, but could improve areas such as pricing predictability."

"Additionally, the initial configuration and infrastructure setup is a bit complicated, so more documentation would be a good addition to have."

"As a beginner, there were some challenges we faced to learn the UI design and the interface, so making it more user-friendly and beginner-friendly would be beneficial."

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Top Industries

By visitors reading reviews

Construction Company

34%

Outsourcing Company

19%

Comms Service Provider

Consumer Goods Company

Construction Company

64%

Outsourcing Company

Healthcare Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	3
Large Enterprise	9

No data available

Questions from the Community

What needs improvement with Ably?

For the use I have made, I didn't see any limit or margin to implement to go higher.

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What is your primary use case for Ably?

My main use case for Ably is integrating the Kafka queue with Ably and sending notifications to IoT devices like a smartwatch. After the topic was reached by the message, Ably can fetch it from thi...

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What advice do you have for others considering Ably?

I would recommend trying Ably if you have a wider range of IoT device types to deliver notifications. I gave this review a rating of 9.

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What is your experience regarding pricing and costs for DBLab Engine?

I think DBLab Engine offers excellent flexibility when it comes to pricing and license because the core engine, I believe, is open-source. The initial cost to experiment with it during the hackatho...

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What needs improvement with DBLab Engine?

As a beginner, there were some challenges we faced to learn the UI design and the interface, so making it more user-friendly and beginner-friendly would be beneficial. We can add more functionality...

See all answers

What is your primary use case for DBLab Engine?

I have been using DBLab Engine for the last six months. We are using DBLab Engine to speed up and write PostgreSQL queries, testing, and database processes, improving our queries, PostgreSQL develo...

See all answers

Comparisons

No data available

Product Reports

Buyer's Guide

Ably

August 2026

Download Ably product report

Buyer's Guide

AWS Marketplace

August 2026

Download DBLab Engine product report

Overview

Ably provides a real-time communication platform designed to manage complex streaming data and messaging, delivering reliability and scalability. It facilitates seamless integration with global messaging services, offering low latency and high availability across networks.

Ably is crafted to support a diverse range of use cases including real-time dashboards, live chat applications, multiplayer games, and collaborative tools. It offers versatile API support and ensures data integrity. Through consistent performance, Ably simplifies the process of building live functionalities by allowing engineers to focus on core application development rather than scaling challenges.

What Are Ably's Most Important Features?

Real-time Messaging: Ensures low-latency communication for live interactions.
Scalable Infrastructure: Accommodates millions of concurrent connections seamlessly.
Data Integrity: Guarantees message delivery ensuring consistency across platforms.
Versatile API Support: Provides various programming interfaces for easier integration.

What Benefits or ROI Should Users Look for in Reviews?

Enhanced User Engagement: Real-time updates boost interaction.
Scalability: Effortless adaptation to increasing demand without service disruption.
Reliability: Consistent service delivery minimizing downtime.
Developer Productivity: Simplifies complex integrations, reducing development time.

In the finance industry, Ably supports live trading platforms by delivering instantaneous data updates. In gaming, it enables real-time multiplayer experiences with synchronized data. Within education, Ably facilitates live webinars and interactive learning sessions, thanks to its robust real-time messaging capabilities.

Ably

DBLab Engine revolutionizes database management by providing efficient data handling and accelerating development processes, making it a must-have for businesses seeking productivity gains.

DBLab Engine offers a streamlined approach to database management, enhancing data workflows and facilitating rapid development without sacrificing performance. It serves as an indispensable tool for companies aiming for efficiency in their operations, offering advanced functionalities that enable seamless data manipulation and integration. With its robust infrastructure, DBLab Engine is tailored to enhance productivity and elevate the capabilities of development teams.

What features make DBLab Engine stand out?

Automated Data Provisioning: Streamlines data access and manipulation with automation capabilities.
Scalable Architecture: Supports growth by adapting to expanding data requirements effortlessly.
Security Protocols: Ensures data safety with advanced security measures to protect sensitive information.
Seamless Integration: Easily integrates with existing systems, minimizing disruption during deployment.

What benefits should users seek in reviews?

Increased Productivity: Enables development teams to work faster, reducing project timelines.
Cost Efficiency: Lowers operational costs through automation and efficient data management.
Enhanced Security: Provides peace of mind with risk mitigation and data protection features.

In the healthcare and financial sectors, DBLab Engine implements tailored solutions to address industry-specific data challenges, such as compliance requirements and high-volume data processing, illustrating its adaptability and robust performance across fields.

Postgres.AI

Buyer's Guide

Ably vs. DBLab Engine

July 2026

Free Report: Ably vs. DBLab Engine

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