WhereScape RED and Fivetran cater to different aspects of data management, excelling in specific areas. WhereScape RED shines in environments demanding high automation and quality assurance, whereas Fivetran is preferred for its simplicity and robust replication capabilities.
Features: WhereScape RED offers data warehouse automation with metadata-driven development, extensive documentation, and support for agile methods. Fivetran provides managed pipelines, easy integration with various data sources, and the ability to manage connectors individually.
Room for Improvement: WhereScape RED could improve its performance, scalability, change data capture support, and multi-database environment flexibility. Fivetran might enhance data pipeline observability, offer more connector options, and provide more competitive pricing and customization options.
Ease of Deployment and Customer Service: WhereScape RED allows deployment in on-premises, public, and hybrid cloud environments, with highly praised customer service. Fivetran is primarily deployed in public and hybrid clouds, with a simpler deployment process due to its cloud-centric design, providing good customer service.
Pricing and ROI: WhereScape RED offers cost-effective licensing based on developer seats, facilitating scalability and swift ROI due to quick development cycles. Fivetran's consumption-based pricing can be expensive for high-volume usage, making it less affordable for smaller enterprises, with ROI being usage-dependent.
Fivetran provides time savings, cost reductions, and improvements in data quality.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
If they could provide support more quickly, that would be great.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Customer support from Fivetran is quite good; it's really nice and responsive.
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs.
They have 99.9% accuracy on the data load and they maintain transparency.
In my experience, Fivetran is stable with very few instances of downtime or reliability issues.
During the duration of the time that we used Fivetran, it was highly stable.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
I want more flexibility during ingestion, specifically for transformations needed beforehand.
If a specific feature is required, it should be integrated promptly.
Our current yearly contract for Fivetran is approximately $70,000.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline.
The number of connectors it has remains a standout feature, and within connectors, the options available are very helpful.
Product | Market Share (%) |
---|---|
Fivetran | 2.0% |
WhereScape RED | 1.0% |
Other | 97.0% |
Company Size | Count |
---|---|
Small Business | 10 |
Midsize Enterprise | 7 |
Large Enterprise | 16 |
Company Size | Count |
---|---|
Small Business | 6 |
Midsize Enterprise | 4 |
Large Enterprise | 11 |
Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com
WhereScape is data warehouse software that automates the Data Warehouse lifecycle. From implementation to maintenance, WhereScape will ensure your data warehouse projects are completed up to 5x faster than manual coding.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.