Fivetran vs. Mixed Analytics

Fivetran

Mixed Analytics

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Fivetran	Score 8.5 out of 10	N/A	Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate…	$0.01 per credit
Mixed Analytics	Score 0.0 out of 10	N/A	Mixed Analytics provides tips and add-ons for Google Sheets, so that Google Sheets can be used as a data pipeline that pulls API data directly into the spreadsheet. Users can fetch data from Facebook, YouTube, Instagram, Mailchimp, and thousands of other APIs. It pulls data into Google Sheets from any platform that uses API keys or OAuth2 for authorization and returns data in JSON, XML, or CSV format. This opens up access to nearly any platform, e.g. Binance, CoinMarketCap, Facebook, Shopify,…	$15 per month

Pricing

Fivetran

Mixed Analytics

Editions & Modules

Starter: $0.01
per credit
Standard: $0.01
per credit
Enterprise: $0.01
per credit

Pro: $15
per month
Business: $29
per month
Team: $58
per month

Offerings

Pricing Offerings
Fivetran	Mixed Analytics
Free Trial
Yes	No
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

Optional

No setup fee

Additional Details

—

Discount available for annual pricing.

More Pricing Information

Community Pulse
	Fivetran	Mixed Analytics
Considered Both Products	Fivetran Verified User Anonymous Chose Fivetran Matillion requires a lot more initial setup effort and the resulting schemas are also much more "raw" data than the nicely cleaned schemas which Fivetran provides. Therefore it would also require more (manual) post-processing efforts compared to Fivetran. So the savings on time … Incentivized Helpful? Verified User Anonymous Chose Fivetran Fivetran is much easier to set up and maintain. Airbyte still had a degree of technical knowledge requirement that we didn't have the resources to commit. Fivetran allowed a non-technical employee to establish pipelines and immediately start using the data without having to … Incentivized Helpful? Uddipan Mukherjee Big Data Specialist Chose Fivetran Fivetran is a powerful data replication tool that supported use cases for organization-wide data platforms. Incentivized Helpful? Verified User Anonymous Chose Fivetran We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly. Incentivized Helpful? Sudarshan Kothari Senior Data Scientist Chose Fivetran Fivetran came well with the connectors' availability and updates with the source changes. We had an idea on data requirements in our case which helped us to work out on cost implication and take a decision for Fivetran as a data provider for our organization. These were 2 … Incentivized Helpful? Verified User Anonymous Chose Fivetran Fivetran is more intuitive and easier to use than code-based ETL/ELT tools. The data modelling Fivetran performs makes the data more usable more quickly. Fivetran's dbt support and integration is unique. Incentivized Helpful? Scott Laronge Head of Data Science Chose Fivetran Honestly, we haven't done much investigation in a while, it just works 360 days of the year. The other five days there may be a hiccup that will throw us a day off of data, but it gets caught up in the end. Incentivized Helpful?	Mixed Analytics No answer on this topic

Features

Fivetran

Mixed Analytics

Data Source Connection

Comparison of Data Source Connection features of Product A and Product B
	Fivetran 10.0 Ratings 18% above category average	Mixed Analytics - Ratings
Connect to traditional data sources	10.00 Ratings	00 Ratings
Connecto to Big Data and NoSQL	10.00 Ratings	00 Ratings

Data Transformations

Comparison of Data Transformations features of Product A and Product B
	Fivetran 7.4 Ratings 10% below category average	Mixed Analytics - Ratings
Simple transformations	7.50 Ratings	00 Ratings
Complex transformations	7.40 Ratings	00 Ratings

Data Modeling

Comparison of Data Modeling features of Product A and Product B
	Fivetran 6.2 Ratings 25% below category average	Mixed Analytics - Ratings
Data model creation	2.00 Ratings	00 Ratings
Metadata management	4.00 Ratings	00 Ratings
Business rules and workflow	8.00 Ratings	00 Ratings
Collaboration	7.80 Ratings	00 Ratings
Testing and debugging	9.00 Ratings	00 Ratings

Data Governance

Comparison of Data Governance features of Product A and Product B
	Fivetran 8.3 Ratings 2% above category average	Mixed Analytics - Ratings
Integration with data quality tools	8.30 Ratings	00 Ratings
Integration with MDM tools	8.30 Ratings	00 Ratings

Best Alternatives
	Fivetran	Mixed Analytics
Small Businesses	Skyvia Score 9.9 out of 10	Skyvia Score 9.9 out of 10
Medium-sized Companies	IBM InfoSphere Information Server Score 8.0 out of 10	Astera Data Pipeline Builder (Centerprise) Score 8.7 out of 10
Enterprises	IBM InfoSphere Information Server Score 8.0 out of 10	Control-M Score 9.3 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Fivetran	Mixed Analytics
Likelihood to Recommend	8.2 (0 ratings)	- (0 ratings)
Usability	9.0 (0 ratings)	- (0 ratings)
Performance	8.0 (0 ratings)	- (0 ratings)

User Testimonials
	Fivetran	Mixed Analytics
Likelihood to Recommend	[Fivetran is] very well suited when you are using popular and common data sources, such as the major ad platforms, and SaaS platforms such as Salesforce. If the majority of your data sources are custom internal applications or databases, may be less value as you aren't leveraging the delivered connectors. Incentivized Verified User Anonymous Read full review	No answers on this topic
Pros	Simplified ETL from a wide range of data sources Stable and painless data pipeline Granular control over what parts of the data source are loaded Incentivized Verified User Anonymous Read full review	No answers on this topic
Cons	Doesn't include support for a Kinesis stream as a data source so couldn't be used for some use cases under consideration Doesn't support the use of "BEFORE DELETE" triggers No support for serverless Aurora Incentivized Verified User Anonymous Read full review	No answers on this topic
Usability	Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector. Incentivized Verified User Anonymous Read full review	No answers on this topic
Performance	It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare. Incentivized Scott Laronge Head of Data Science Read full review	No answers on this topic
Alternatives Considered	Fivetran came well with the connectors' availability and updates with the source changes. We had an idea on data requirements in our case which helped us to work out on cost implication and take a decision for Fivetran as a data provider for our organization. These were 2 places where Fivetran out-performed, other vendors. Incentivized Sudarshan Kothari Senior Data Scientist Read full review	No answers on this topic
Return on Investment	Saved a lot of manual development days (unable to quantify) Accelerated the time to add a new source to the data warehouse a lot Incentivized Verified User Anonymous Read full review	No answers on this topic
ScreenShots