A startup from Oakland, the United States that is founded by George Fraser.
Automation
Fivetran automates data integration, eliminating the need for manual coding and reducing maintenance overhead.
Scalability
Fivetran can easily scale its services to handle growing data loads, making it suitable for businesses of various sizes.
Wide Range of Connectors
It supports a broad array of data sources and destinations, allowing for diverse data pipelines.
Data Transformation
Fivetran provides built-in data transformation capabilities, ensuring that data is in the correct format when it reaches the destination.
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.
Reliability
The service ensures data integrity and reliability, minimizing data loss during transfers.
Fivetran is generally regarded as a good solution for businesses looking for an automated, reliable, and easy-to-use data integration tool. It is particularly beneficial for companies that wish to reduce time and effort spent on managing data pipelines and ensuring accurate data transfer.
We have collected here some useful links to help you find out if Fivetran is good.
Check the traffic stats of Fivetran on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Fivetran on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Fivetran's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Fivetran on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Fivetran on Reddit. This can help you find out how popualr the product is and what people think about it.
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 canโt. Not only because it doesnโt track deletes, updates to existing records, and only does one way syncs. But because Snowflake isnโt supported. Method #3:... - Source: Hacker News / over 3 years ago
Disclaimer: I work for Fivetran, a data integration company. Source: almost 4 years ago
Disclaimer: I'm a product evangelist for a data integration company called Fivetran, so I'm shamelessly shilling here. Source: almost 4 years ago
I really like the theme theyโre using on https://fivetran.com. Source: about 4 years ago
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
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 donโt want to self host extraction, consider Fivetran. - Source: dev.to / over 4 years ago
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
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
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
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
There are integration companies that solve this specific use-case. Iโve 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
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
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.
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 usersโwhether technically inclined or notโcomprehensive options for integrating data from a myriad of SaaS, database, and application services. Fivetranโs 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.
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.
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.
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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