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Tools/Fivetran vs Dagster
Fivetran

Fivetran

data
vs
Dagster

Dagster

data

Fivetran vs Dagster — Comparison

Overview
What each tool does and who it's for

Fivetran

Effortlessly centralize all the data you need so your team can deliver better insights, faster. Start for free.

I notice that you've provided a template for Fivetran feedback but the actual review content and detailed social mentions are missing. The social mentions only show YouTube titles mentioning "Fivetran AI" without any substantive content or user opinions. To provide an accurate summary of what users think about Fivetran, I would need the actual text of user reviews and more detailed social media posts that contain user opinions, experiences, and feedback about the platform. Could you please share the complete review content and social mention details?

Dagster

Dagster is the data orchestrator platform that helps you build, schedule, and monitor reliable data pipelines - fast, flexible, and built for teams.

Dagster Labs is the organization behind Dagster, the open-source project, and Dagster Cloud. We’re a small, well-funded, and collegial team with a proven track record of shipping open-source software with global adoption. We are fortunate to be able to partner with some of the best venture capital investors in the business. We are a team that is intrinsically driven and executes with fierce urgency. We think big, aim high and are here to be the best at what we do. We value grit, resilience, and are able to persevere to get to the best outcome. We play to win and we do not mistake motion for progress, striving to quickly focus in on what really matters and avoid work about work We hold ourselves to high standards and trust each other to do the same. We do not believe that quality and velocity are at odds with each other, and taking our craft seriously means we can move fast with excellence. We we do what we say we’re going to do. We work from first principles and solve fundamental problems. We provide continuous, direct, and thoughtful feedback to one another in order to improve. When failures happen, we learn from them as an opportunity to improve our future outcomes. Our workplace should reflect the full diversity of interests, backgrounds, and ideas of all of our employees. We invest in creating experiences to foster meaningful connections and encourage everyone to connect genuinely with colleagues. Building is hard and we believe it will be more sustainable, and we will have more fun when we engage authentically and inject some levity into our daily interactions. We optimize for the group, the company, and not just for the individual. We have a mutual responsibility to support one another to succeed and multiply our impact beyond the sum of our individual parts. We sometimes put aside the work that’s most important within our focus area to help with higher-priority work in other areas. We empower people to have sufficient context across the company to be able to work cross-functionally. We sometimes operate outside of our defined responsibility and never say that something is “not our job”. We act as owners, roll our sleeves up to pitch in, and fix problems and gaps that we see. We started off as an OSS project - our community has been with us the entire journey and they are the reason Dagster Labs exists. The developer experience at Dagster Labs is everyone’s responsibility. We are dedicated to doing everything we can to improve their experience working with data platforms. This means that everyone is invested in our community, their success and their sentiment towards our products. Nick is the founder of Dagster Labs. Prior to that, he was a Principal Engineer and Director at Facebook between 2009-17, where he founded the Product Infrastructure team and co-created GraphQL. Pete previously led teams at Twitter, co-founded Smyte, and was a member of the early React team at Facebook. Yuhan was a senior software engineer and tech lead o

Key Metrics
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Avg Rating
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0
Mentions (30d)
0
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GitHub Stars
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GitHub Forks
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npm Downloads/wk
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PyPI Downloads/mo
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Community Sentiment
How developers feel about each tool based on mentions and reviews

Fivetran

0% positive100% neutral0% negative

Dagster

0% positive100% neutral0% negative
Pricing

Fivetran

usage-based + subscription + freemium + contract + tieredFree tier

Pricing found: $17.23, $10.99, $423.78, $44.12, $549.36

Dagster

subscription + tiered

Pricing found: $10, $100, $120, $1200, $.005

Use Cases
When to use each tool

Fivetran (1)

Data democratization

Dagster (1)

Realtime Health Metrics
Features

Only in Fivetran (10)

TransformationsSecurityGovernanceExtensibilityActivationsHybrid DeploymentData democratizationInfrastructure modernizationEmbeddedData readiness for AI

Only in Dagster (10)

Unlocking the Full Value of Your DatabricksWhen to Move from Dagster OSS to Dagster+Great Infrastructure Needs Great Stories: Designing our Children’s BookClosing the DataOps Loop: Why We Built Compass for Dagster+Your GTM Data, Finally UntangledOrchestrating Nanochat: Deploying the ModelDagster + Atlan: Real-Time Asset Observability in Your Data CatalogOrchestrating Nanochat: Training the ModelsOrchestrating Nanochat: Building the TokenizerYour Data Team Shouldn't Be a Help Desk: Use Compass with Your Data
Developer Ecosystem
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GitHub Repos
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GitHub Followers
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npm Packages
20
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HuggingFace Models
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SO Reputation
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Product Screenshots

Fivetran

Fivetran screenshot 1Fivetran screenshot 2Fivetran screenshot 3Fivetran screenshot 4

Dagster

Dagster screenshot 1Dagster screenshot 2Dagster screenshot 3Dagster screenshot 4
Company Intel
information technology & services
Industry
information technology & services
1,600
Employees
86
$852.6M
Funding
$67.0M
Debt Financing
Stage
Series B
Supported Languages & Categories

Fivetran

AI/MLFinTechDevOpsSecurityAnalytics

Dagster

AI/MLFinTechDevOpsSecurityAnalytics
View Fivetran Profile View Dagster Profile