Alooma vs. Fivetran

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Alooma
Score 9.0 out of 10
N/A
Alooma is a data integration product providing ETL capabilities with a focus on output to data warehouse. It also offers pipeline monitoring and error handling protocols.N/A
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
Pricing
AloomaFivetran
Editions & Modules
No answers on this topic
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
Offerings
Pricing Offerings
AloomaFivetran
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
AloomaFivetran
Considered Both Products
Alooma
Chose Alooma
Haven't used the alternatives, since Alooma was one of the earlier ones to the market. From a cursory viewing, however, the features seem to match relatively similarly.
Fivetran
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 …
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 …
Chose Fivetran
Fivetran is a powerful data replication tool that supported use cases for organization-wide data platforms.
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.
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 …
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.
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.
Features
AloomaFivetran
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
Alooma
7.5
Ratings
7% below category average
Fivetran
-
Ratings
Pre-built connectors8.00 Ratings00 Ratings
Connector modification7.00 Ratings00 Ratings
Support for real-time and batch integration7.00 Ratings00 Ratings
Data quality services8.00 Ratings00 Ratings
Data security features7.00 Ratings00 Ratings
Monitoring console8.00 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Alooma
-
Ratings
Fivetran
10.0
Ratings
18% above category average
Connect to traditional data sources00 Ratings10.00 Ratings
Connecto to Big Data and NoSQL00 Ratings10.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Alooma
-
Ratings
Fivetran
7.4
Ratings
10% below category average
Simple transformations00 Ratings7.50 Ratings
Complex transformations00 Ratings7.30 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Alooma
-
Ratings
Fivetran
6.2
Ratings
25% below category average
Data model creation00 Ratings2.00 Ratings
Metadata management00 Ratings4.00 Ratings
Business rules and workflow00 Ratings8.00 Ratings
Collaboration00 Ratings7.80 Ratings
Testing and debugging00 Ratings9.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Alooma
-
Ratings
Fivetran
8.3
Ratings
2% above category average
Integration with data quality tools00 Ratings8.30 Ratings
Integration with MDM tools00 Ratings8.30 Ratings
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AloomaFivetran
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Enterprises
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User Ratings
AloomaFivetran
Likelihood to Recommend
8.0
(0 ratings)
8.2
(0 ratings)
Usability
-
(0 ratings)
9.0
(0 ratings)
Performance
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
AloomaFivetran
Likelihood to Recommend
Very appropriate for managing an ELT stack -- Alooma handles the 'E' and 'L' pieces very well. Due to the way transformation is setup, it is more on the lightweight side of things and thus works for this kind of stack. For more traditional ETL stacks, Alooma would probably not be the right fit.
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[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.
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Pros
  • Transformation of data before entering the data warehouse -- allows for a consistent/understandable schema for analytics teams.
  • Adding of additional data sources: Alooma has a large library of pre-built, common 3rd party vendors for which data is often needed to be ETL-ed.
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  • 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
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Cons
  • More tools on managing the data warehouse itself. Although great on the ingest and transformation of data, more help provided by the tool on managing the outputs would be welcome.
  • Increase possibilities in the transformation step, rather than single event transformations.
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  • 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
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Usability
No answers on this topic
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.
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Performance
No answers on this topic
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.
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Alternatives Considered
Haven't used the alternatives, since Alooma was one of the earlier ones to the market. From a cursory viewing, however, the features seem to match relatively similarly.
Read full review
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.
Read full review
Return on Investment
  • Allowing for additional data sources to more automation capability around monitoring the business is a huge ROI
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  • Saved a lot of manual development days (unable to quantify)
  • Accelerated the time to add a new source to the data warehouse a lot
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ScreenShots