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Fivetran

Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

Fivetran

Fivetran Reviews and Details

This page is designed to help you find out whether Fivetran is good and if it is the right choice for you.

Screenshots and images

  • Fivetran Landing page
    Landing page //
    2023-09-19

Features & Specs

  1. Automation

    Fivetran automates data integration, eliminating the need for manual coding and reducing maintenance overhead.

  2. Scalability

    Fivetran can easily scale its services to handle growing data loads, making it suitable for businesses of various sizes.

  3. Wide Range of Connectors

    It supports a broad array of data sources and destinations, allowing for diverse data pipelines.

  4. Data Transformation

    Fivetran provides built-in data transformation capabilities, ensuring that data is in the correct format when it reaches the destination.

  5. Real-Time Data Syncing

    Fivetran allows for near real-time data syncing, which is crucial for businesses that rely on up-to-date data for decision-making.

  6. Reliability

    The service ensures data integrity and reliability, minimizing data loss during transfers.

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Videos

Cloud Data Warehouse Benchmark Redshift vs Snowflake vs BigQuery | Fivetran

Looker + Fivetran: Data Source to Dashboard in an Afternoon

The Modern Data Stack: Fivetran + Looker + Snowflake

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Fivetran and what they use it for.
  • Sync Snowflake and Google Sheets
    Even looking past these limitations, internal scripts invariably require development and maintenance time, and as any developer knows, can break at the worst of times :) Method #2: Use Zapier? (https://zapier.com) Want to use Zapier to do this? You canโ€™t. Not only because it doesnโ€™t track deletes, updates to existing records, and only does one way syncs. But because Snowflake isnโ€™t supported. Method #3:... - Source: Hacker News / over 3 years ago
  • Big problem with companies now is they hire data scientist for task that don't require data science practices.
    Disclaimer: I work for Fivetran, a data integration company. Source: almost 4 years ago
  • I love data science but hate data engineering
    Disclaimer: I'm a product evangelist for a data integration company called Fivetran, so I'm shamelessly shilling here. Source: almost 4 years ago
  • Which webflow theme is this?
    I really like the theme theyโ€™re using on https://fivetran.com. Source: about 4 years ago
  • A modern data stack for startups
    From experience then, believe me when I say you don't want to build these. Thankfully, ETL products like Fivetran and Stitch run and maintain these extraction processes for you. - Source: dev.to / about 4 years ago
  • Reference Data Stack for Data-Driven Startups
    We chose Airbyte because of their open source self-hosted offering and their connector flexibility. There are other open source tools in the market like StitchData or Meltano but have limitations as discussed in this post by the Airbyte team. If you donโ€™t want to self host extraction, consider Fivetran. - Source: dev.to / over 4 years ago
  • How do you deal with Schema changes from APIs
    If the APIs you're connecting to are from common third-party vendors like Salesforce, Zendesk, and so forth, or from common operational RDBMSes like PostgreSQL or MySQL, you can use off-the-shelf data connectors from Fivetran, Stitch, Matillion, or other data pipeline providers to automatically extract, normalize, and load the data to your data warehouse. Source: over 4 years ago
  • Your Guide to Creating a Warehouse-First Data Analytics Stack
    The tools in this category are called ELT tools. ELT stands for "extract, load, transform," which are the steps required to take your data from a system like Salesforce or QuickBooks and insert it into your data warehouse. Tools in this category are Fivetran and Stitch. - Source: dev.to / almost 5 years ago
  • Announcing Hightouch Audiences: Enabling Marketers to Self-Serve their Data
    Hightouch Audiences requires that you have a data warehouse or data lake That has event data on how your users are interacting with your product. Hightouch does not replace your existing event tracking or ELT Workflows: in fact, it enhances it. The More data you make available in your warehouse (such as billing data From Stripe, sales data from Salesforce, etc), the more powerful your Audiences can be. - Source: dev.to / almost 5 years ago
  • The Data Trinity
    If your company is price sensitive, you might opt for a free open source tool such as Airbyte but absorb the engineering costs of setup and maintenance. If your company wishes to focus their engineering resources on other tasks other than extraction and loading, they can use a managed service like Fivetran where they pay for the service. - Source: dev.to / almost 5 years ago
  • Cloudera taken private for $5.3b, acquires Datacoral and Cazena
    There are integration companies that solve this specific use-case. Iโ€™ve used Fivetran [0] and highly recommend it. They will extract-load data from your SaaS to your warehouse of choice and your data scientists can run SQL against the tables. Their most popular warehouses are Redshift and Snowflake. So you can still use a centralized data warehouse without dedicating internal resources to the integrations. [0]... - Source: Hacker News / about 5 years ago
  • Matillion cost estimator
    I don't have much info about the pricing, but I would definitely suggest checking out some other (what I would consider newer) options. I am not sure what your use case is so they may not be a good fit, but you can use tools like Fivetran or Tray, or open-source specs like Meltano/Airbyte. There are also some SaaS tools like Paragon Connect or hotglue. Source: about 5 years ago

Summary of the public mentions of Fivetran

Fivetran, a leading player in the data integration and ETL (Extract, Transform, Load) domain, benefits from a nuanced public opinion landscape shaped by its robust offerings and the sometimes prohibitive costs associated with its use. This objective summary seeks to elucidate the predominant perceptions surrounding Fivetran based on recent mentions and contextual data.

Strengths

Fivetran consistently receives high marks for enabling organizations to streamline their data integration processes effortlessly. Its platform, lauded for being cloud-based and automated, excels in facilitating data transport from various sources to data warehouses like Redshift, BigQuery, Azure, and Snowflake. With strong endorsements for its simplicity and ease of use, many users appreciate Fivetran's ability to reduce the engineering burden associated with custom data pipeline setups.

The platform's range of over 300 connectors stands out as a significant competitive advantage. These pre-built connectors provide usersโ€”whether technically inclined or notโ€”comprehensive options for integrating data from a myriad of SaaS, database, and application services. Fivetranโ€™s compatibility with a wide array of data sources, including nearly 90 SaaS solutions, ensures organizations have the flexibility to cater to diverse data needs without generating additional integration code.

Fivetran's emphasis on security and privacy is another applauded facet, reinforcing its status as a reliable choice for secure data handling. With robust security controls and automated transformation capabilities, it facilitates a seamless transition of data to become analytics-ready.

Challenges

Despite its technological prowess, Fivetran's pricing model often emerges as a critical point of contention. The pricing structure, predicated upon Monthly Active Rows (MAR), is seen as not only high but also unpredictable. The internal representation of data means that costs can escalate dramatically, especially when dealing with connectors that require comprehensive data downloads or conversions of non-relational data into normalized formats.

This unpredictability in cost can vary significantly, with cited instances showing deployments of 10 million MARs/month attaining expenses of up to $10,000 monthly, sometimes reaching six figures annually for complex connectors. Such financial considerations make Fivetran less appealing for startups or smaller enterprises with sensitive budgets.

Customer Perceptions

While praised for its functionality, the associated cost concerns and noted customer service issues have tempered some user satisfaction. Despite this, reviews continue to highlight the "set it and forget it" nature of Fivetran, indicating strong user satisfaction from those for whom the pricing is sustainable.

Conclusion

Fivetran stands as a formidable solution for businesses prioritizing robust, scalable, and automated data integration, especially for those with complex needs in an enterprise environment. However, the financial model may suggest consideration of open-source alternatives like Airbyte for budget-conscious entities. Fivetran's suite remains highly relevant for those who can leverage its expansive features while accommodating its premium pricing tier.

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Is Fivetran good? This is an informative page that will help you find out. Moreover, you can review and discuss Fivetran here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.