Fivetran vs. Amazon Redshift

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Fivetran
Score 8.2 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
Amazon Redshift
Score 7.9 out of 10
N/A
Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.
$0.24
per GB per month
Pricing
FivetranAmazon Redshift
Editions & Modules
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
Redshift Managed Storage
$0.24
per GB per month
Current Generation
$0.25 - $13.04
per hour
Previous Generation
$0.25 - $4.08
per hour
Redshift Spectrum
$5.00
per terabyte of data scanned
Offerings
Pricing Offerings
FivetranAmazon Redshift
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
FivetranAmazon Redshift
Considered Both Products
Fivetran
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.
Amazon Redshift

No answer on this topic

Top Pros
Top Cons
Features
FivetranAmazon Redshift
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Fivetran
7.6
6 Ratings
8% below category average
Amazon Redshift
-
Ratings
Connect to traditional data sources8.66 Ratings00 Ratings
Connecto to Big Data and NoSQL6.64 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Fivetran
7.5
5 Ratings
11% below category average
Amazon Redshift
-
Ratings
Simple transformations7.55 Ratings00 Ratings
Complex transformations7.53 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Fivetran
7.2
6 Ratings
12% below category average
Amazon Redshift
-
Ratings
Data model creation7.25 Ratings00 Ratings
Metadata management8.63 Ratings00 Ratings
Business rules and workflow4.24 Ratings00 Ratings
Collaboration8.93 Ratings00 Ratings
Testing and debugging7.12 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Fivetran
6.8
5 Ratings
19% below category average
Amazon Redshift
-
Ratings
Integration with data quality tools6.74 Ratings00 Ratings
Integration with MDM tools7.02 Ratings00 Ratings
Best Alternatives
FivetranAmazon Redshift
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
FivetranAmazon Redshift
Likelihood to Recommend
8.5
(7 ratings)
8.0
(37 ratings)
Usability
9.0
(1 ratings)
10.0
(9 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
9.0
(7 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
FivetranAmazon Redshift
Likelihood to Recommend
Fivetran
Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.
Read full review
Amazon AWS
If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
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Pros
Fivetran
  • Easily connects to source data using delivered connectors
  • Transforms data into standard models and schemas
  • Has very good documentation to help quickly setup connectors
Read full review
Amazon AWS
  • [Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
  • [Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
  • [Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
  • [Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
Read full review
Cons
Fivetran
  • More detailed logging
  • More flexible choices for time range over which records are synced
  • More options for masking and excluding sensitive data
Read full review
Amazon AWS
  • We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
  • Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
  • Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
Read full review
Usability
Fivetran
Just need to input connection info.
Read full review
Amazon AWS
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
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Performance
Fivetran
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.
Read full review
Amazon AWS
No answers on this topic
Support Rating
Fivetran
No answers on this topic
Amazon AWS
The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
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Alternatives Considered
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.
Read full review
Amazon AWS
Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
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Contract Terms and Pricing Model
Fivetran
No answers on this topic
Amazon AWS
Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
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Return on Investment
Fivetran
  • Development cost have reduced for each connector
  • The pay-per-use model is still not out their which requires lot of overhead cost
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Amazon AWS
  • Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
  • Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
  • Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
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ScreenShots