Software Alternatives & Reviews

pganalyze Index Advisor for Postgres VS LaunchDarkly

Compare pganalyze Index Advisor for Postgres VS LaunchDarkly and see what are their differences

pganalyze Index Advisor for Postgres logo pganalyze Index Advisor for Postgres

The index advisor makes recommendations for creating the best indexes for your Postgres queries, based on the schema and table statistics information.

LaunchDarkly logo LaunchDarkly

LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.
  • pganalyze Index Advisor for Postgres Landing page
    Landing page //
    2023-03-07
  • LaunchDarkly Landing page
    Landing page //
    2023-09-12

pganalyze Index Advisor for Postgres videos

No pganalyze Index Advisor for Postgres videos yet. You could help us improve this page by suggesting one.

+ Add video

LaunchDarkly videos

How LaunchDarkly Enables Product Managers to Test in Production

More videos:

  • Review - Getting Started with Feature Flags - #1 LaunchDarkly Feature Flags
  • Review - Show & Tell with LaunchDarkly's Edith Harbaugh: Mobile Feature Flags

Category Popularity

0-100% (relative to pganalyze Index Advisor for Postgres and LaunchDarkly)
Developer Tools
6 6%
94% 94
Feature Flags
0 0%
100% 100
Databases
100 100%
0% 0
Productivity
100 100%
0% 0

User comments

Share your experience with using pganalyze Index Advisor for Postgres and LaunchDarkly. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare pganalyze Index Advisor for Postgres and LaunchDarkly

pganalyze Index Advisor for Postgres Reviews

We have no reviews of pganalyze Index Advisor for Postgres yet.
Be the first one to post

LaunchDarkly Reviews

Top Mobile Feature Flag Tools
LaunchDarkly is another dedicated feature flag management tool that offers extensive features. They support a variety of platforms and languages and boast clients like Microsoft, Atlassian, and Invision. Like Rollout, LaunchDarkly offers all the features of an enterprise-grade tool but, unlike Rollout, reserves the security features for the “Enterprise” plan. Out of the box,...
Source: instabug.com
Feature Toggling Tools for $100 or less
A differentiating factor is the functionality to schedule releases through the console, LaunchDarkly and FeatureFlow have incorporated this into their front end. Another front-end feature of interest is user segmentation management, which is available with LaunchDarkly, Rollout, and Bullet train subscriptions.
Source: medium.com

Social recommendations and mentions

Based on our record, LaunchDarkly seems to be more popular. It has been mentiond 36 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.

pganalyze Index Advisor for Postgres mentions (0)

We have not tracked any mentions of pganalyze Index Advisor for Postgres yet. Tracking of pganalyze Index Advisor for Postgres recommendations started around Dec 2021.

LaunchDarkly mentions (36)

  • Pivoting a million dollar DevTool startup
    Taplytics is a broad A/B testing platform for marketing teams. While DevCycle is a feature flagging tool built for developers. Taplytics actually has feature flagging, but DevCycle is much more focused and plans to compete directly with incumbents like LaunchDarkly by building a better developer experience (more on how later). But with Taplytics they built so many features and every customer was using them in a... - Source: dev.to / 4 months ago
  • Arc Update - 1.20.1 (43987)
    I had a custom rule added to Little Snitch that blocked the following domains: launchdarkly.com, clientstream.launchdarkly.com, mobile.launchdarkly.com. Source: 5 months ago
  • Feature flags implementation in Nest.js 😻
    There are however Saas to implement directly a feature management system. Several solutions exist like LaunchDarkly, Flagsmith or Unleash.io. Using a SaaS (Software as a Service) feature flagging solution offers the advantage of a faster and more straightforward implementation process. These services are readily available and can be quickly integrated into your project. - Source: dev.to / 8 months ago
  • Boost DX, Enhance UX, and Skyrocket Profits! Dive into a sub-50ms world with Edge Feature Flags 🚀
    Currently, there are numerous feature flag systems available. Options include our own company's open-source system, "Bucketeer", and the renowned SaaS "LaunchDarkly" among others. When comparing these, the following considerations might come into play:. - Source: dev.to / 8 months ago
  • How to build a secure admin panel for your SaaS app
    A variety of tools can cover some of these use cases. PLG tools like Segment and journy.io can track activity. Maybe you use a feature flag service such as LaunchDarkly. Stripe or Chargebee might manage some of the billing-related aspects. Meanwhile, problems related to authentication might be visible in your Auth0 account. However, it’s unlikely that you’re using all these platforms. Even if you are, you probably... - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing pganalyze Index Advisor for Postgres and LaunchDarkly, you can also consider the following products

SQL playground - Create a private PostgreSQL database with a predefined structure & test data in the shortest time.

Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.

Google Cloud PostgreSQL - Fully-managed database service

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

Supabase - An open source Firebase alternative

Unleash - Open source Feature toggle/flag service. Helps developers decrease their time-to-market and to increase learning through experimentation.