TrustRadius

DBConvert Streams vs. Fivetran

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DBConvert Streams
Score 0.0 out of 10
Small Businesses (1-50 employees)
DBConvert Streams is a database migration and replication platform that enables data transfer between MySQL and PostgreSQL databases. The solution offers both one-time migrations and continuous real-time replication through Change Data Capture (CDC). Key Features and Benefits: Universal Database Compatibility: Automatically handles schema conversion between MySQL and PostgreSQL databases, eliminating manual type mapping No-Code Interface: Web…
$99
per month data transfer volume (15GB)
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
DBConvert StreamsFivetran
Editions & Modules
Starter
$99
per month data transfer volume (15GB)
Profesional
$449
per month data transfer volume (75GB)
Enterprise
$899
per month data transfer volume (200GB)
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
Offerings
Pricing Offerings
DBConvert StreamsFivetran
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details——
More Pricing Information
Community Pulse
DBConvert StreamsFivetran
Features
DBConvert StreamsFivetran
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
DBConvert Streams
-
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
DBConvert Streams
-
Ratings
Fivetran
7.5
Ratings
8% below category average
Simple transformations00 Ratings7.50 Ratings
Complex transformations00 Ratings7.40 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
DBConvert Streams
-
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
DBConvert Streams
-
Ratings
Fivetran
8.3
Ratings
2% above category average
Integration with data quality tools00 Ratings8.30 Ratings
Integration with MDM tools00 Ratings8.30 Ratings
Best Alternatives
DBConvert StreamsFivetran
Small Businesses
HYCU
HYCU
Score 9.0 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
Matillion
Matillion
Score 7.9 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
Oracle GoldenGate
Oracle GoldenGate
Score 8.7 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DBConvert StreamsFivetran
Likelihood to Recommend
-
(0 ratings)
8.2
(0 ratings)
Usability
-
(0 ratings)
9.0
(0 ratings)
Performance
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
DBConvert StreamsFivetran
Likelihood to Recommend
No answers on this topic
[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.
Verified User
Anonymous
Read full review
Pros
No answers on this topic
  • 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
Verified User
Anonymous
Read full review
Cons
No answers on this topic
  • 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
Verified User
Anonymous
Read full review
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.
Verified User
Anonymous
Read full review
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.
Scott Laronge | TrustRadius Reviewer
Scott Laronge
Head of Data Science
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Alternatives Considered
No answers on this topic
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.
Sudarshan Kothari | TrustRadius Reviewer
Sudarshan Kothari
Senior Data Scientist
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Return on Investment
No answers on this topic
  • Saved a lot of manual development days (unable to quantify)
  • Accelerated the time to add a new source to the data warehouse a lot
Verified User
Anonymous
Read full review
ScreenShots

DBConvert Streams Screenshots

Screenshot of the main dashboard, showing quick actions, account overview with usage metrics, system status indicators, and a step-by-step getting started guide.Screenshot of the connections interface, showing multiple MySQL and PostgreSQL database connections across different environments including AWS, Azure, and local instances. Users can view connection details, edit configurations, and add new connections.Screenshot of the monitoring interface showing active data transfer with progress tracking, status indicators, and detailed metrics. Displays current stream configuration, progress stages, performance statistics from source reader and target writers, and system logs for troubleshooting. Users can pause or stop transfers while monitoring data volume and transfer rates.