Dflux is a unified data science platform that offers end-to-end data engineering and intelligence with no-code machine learning capabilities. It enables seamless data integration, streamlined workflow management, and accelerated insights for data-driven decision-making.
Developer & AI Platformdflux.aiTracked since 2026-08-211 discovery source
442Backlinks
71Referring domains
20Domain authority
-11.3%Referring domains · 90 days
Authority & distribution
How strong is Dflux’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
442Current snapshot
Referring domains
71Current snapshot
Authority
20Domain authority · category median 22
90-day move
-11.3%Referring domains, last 90 days
At 20, Dflux sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Dflux”
Dflux is a unified data science platform that offers end-to-end data engineering and intelligence with no-code machine learning capabilities. It enables seamless data integration, streamlined workflow management, and accelerated insights for data-driven decision-making.
Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://dflux.ai
Observed across 1 discovery source.
Research questions
What the evidence answers about Dflux.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What problem does Dflux solve?
Dflux is an AI-powered platform that automates enterprise database migrations to the cloud, solving the problems of lengthy manual work, risky downtime, and costly data errors. The platform has completed over 100 migrations with a 99.97% uptime SLA.
What key features does the Dflux platform offer?
Dflux offers features including AI-powered schema mapping, zero-downtime migration with dual-write synchronization, live migration execution agents, and post-migration validation agents. It supports over 20 database types and ensures enterprise-grade security.
How is Dflux priced or packaged?
The provided evidence does not include specific information about Dflux's pricing or packaging models. The platform offers a free demo for evaluation.
What is Dflux used for and in what situations?
Dflux is used for migrating databases from sources like Oracle, MySQL, PostgreSQL, and MongoDB to any cloud target with zero downtime. It is employed when engineering teams need to perform complex, enterprise-scale database migrations safely and efficiently.
Who is Dflux designed for?
Dflux is designed for enterprise engineering teams that manage complex database migration projects. The platform is trusted by these teams and is categorized as a developer and AI platform tool.
What is Dflux?
Dflux is an enterprise database migration platform that uses AI agents to automate schema mapping, validation, and live cutover for migrating databases to the cloud. It is categorized as a developer and AI platform tool.
Behind the lock
Unlock full Dflux intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured