Alooma vs. dbt

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
dbt
Score 9.4 out of 10
N/A
dbt is an SQL development environment, developed by Fishtown Analytics, now known as dbt Labs. The vendor states that with dbt, analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. dbt Core is distributed under the Apache 2.0 license, and paid Teams and Enterprise editions are available.
$0
per month per seat
Pricing
Aloomadbt
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Aloomadbt
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Aloomadbt
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
Alooma
7.5
1 Ratings
7% below category average
dbt
-
Ratings
Pre-built connectors8.01 Ratings00 Ratings
Connector modification7.01 Ratings00 Ratings
Support for real-time and batch integration7.01 Ratings00 Ratings
Data quality services8.01 Ratings00 Ratings
Data security features7.01 Ratings00 Ratings
Monitoring console8.01 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Alooma
-
Ratings
dbt
9.7
5 Ratings
17% above category average
Simple transformations00 Ratings9.55 Ratings
Complex transformations00 Ratings9.95 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Alooma
-
Ratings
dbt
9.0
5 Ratings
11% above category average
Data model creation00 Ratings9.15 Ratings
Metadata management00 Ratings8.65 Ratings
Business rules and workflow00 Ratings8.05 Ratings
Collaboration00 Ratings9.83 Ratings
Testing and debugging00 Ratings9.65 Ratings
Best Alternatives
Aloomadbt
Small Businesses
Make
Make
Score 9.3 out of 10
Skyvia
Skyvia
Score 9.7 out of 10
Medium-sized Companies
Zapier
Zapier
Score 8.9 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Enterprises
IBM App Connect
IBM App Connect
Score 8.7 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Aloomadbt
Likelihood to Recommend
8.0
(1 ratings)
9.6
(7 ratings)
User Testimonials
Aloomadbt
Likelihood to Recommend
Alooma
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.
Read full review
dbt Labs
If you can load your data first into your warehouse, dbt is excellent. It does the T(ransformation) part of ELT brilliantly but does not do the E(xtract) or L(oad) part. If you know SQL or your development team knows SQL, it's a framework and extension around that. So, it's easy to learn and easy to hire people with that technical skill (as opposed to specific Informatica, SnapLogic, etc. experience). dbt uses plain text files and integrates with GitHub. You can easily see the changes made between versions. In GUI-based UIs it was always hard to tell what someone had changed. Each "model" is essentially a "SELECT" statement. You never need to do a "CREATE TABLE" or "CREATE VIEW" - it's all done for you, leaving you to work on the business logic. Instead of saying "FROM specific_db.schema.table" you indicate "FROM ref('my_other_model')". It creates an internal dependency diagram you can view in a DAG. When you deploy, the dependencies work like magic in your various environments. They also have great documentation, an active slack community, training, and support. I like the enhancements they have been making and I believe they are headed in a good direction.
Read full review
Pros
Alooma
  • 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.
Read full review
dbt Labs
  • user experience makes it easy to work with SQL and version control
  • customer success team and the dbt (data build tool) community help establish best practices
  • thorough and clear documentation
Read full review
Cons
Alooma
  • 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.
Read full review
dbt Labs
  • Slow load times of the dbt cloud environment (they're working on it via a new UI though)
  • More out-of-the-box solutions for managing procedures, functions, etc would be nice to have, but honestly, it's pretty easy to figure out how to adapt dbt macros
Read full review
Alternatives Considered
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.
Read full review
dbt Labs
Most ETL pipeline products have a T layer, but dbt just does it better. The transformation is on steroids compared to the others. Also, just allows much more Adhoc solutions for very specific projects. Those ETL tools are probably better on the T part if you don't need too many transforms - also dbt is pretty much free dependent on how you work it, also extremely scalable.
Read full review
Return on Investment
Alooma
  • Allowing for additional data sources to more automation capability around monitoring the business is a huge ROI
Read full review
dbt Labs
  • Simplified our BI layer for faster load times
  • Increased the quality of data reaching our end users
  • Makes complex transformations manageable
Read full review
ScreenShots