Blossom Sky Reviews

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14 Reviews

- Industry: Insurance
- Company size: 501–1,000 Employees
- Used Weekly for 6-12 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
Gaining insights from our data with Blossom
Reviewed on 2022/02/23
Blossom provides a middleware to run any data flow task on different platforms.
Blossom provides a middleware to run any data flow task on different platforms.
Pros
I could execute my spark job on Flink by changing only one line of code. I also liked a lot the optimizer that can select the platform based on a cost model.
Cons
I would like to be provided with better documentation
- Industry: Information Technology & Services
- Company size: 10,000+ Employees
- Used Daily for 6-12 months
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Review Source
Overall rating
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Federated ML and Data Migration
Reviewed on 2022/02/22
Simple, easy and pretty rock solid. Unique in the market
Simple, easy and pretty rock solid. Unique in the market
Pros
It's an open source product, and pretty solid and stable. The simplicity to integrate - just add 3! lines into your _already_ existing code, and Blossom does the rest.
Cons
It is developer stage. Power Users will love the stack, but more occasional users need a few hours to understand the concept. And the documentation is pure developer focused, which needs to be improved.
- Industry: Research
- Company size: 5,001–10,000 Employees
- Used Weekly for 1+ year
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Review Source
Overall rating
- Ease of Use
- Likelihood to recommend 7.0 /10
Blossom Review
Reviewed on 2022/01/07
Pros
What I like the most about this platform is its ease of use. One has to only express the business logic within its API, and then the platform optimizes for the underlying system usage. This way one does not need to implement system-specific details.
Cons
The initial configuration and deployment with different software versions of underlying system can be challenging. However the issues got resolved after communication. Furthermore, it would be beneficial to add support (connectors) for more systems.
Response from databloom
Thank you, we are working on a new interface to integrate computation frameworks more easily.
- Industry: Information Technology & Services
- Company size: 501–1,000 Employees
- Used Weekly for 1+ year
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
First tool that automatically chooses platform
Reviewed on 2022/01/17
Pros
Blossom provides a unique software that can automatically choose in which platform a task has to be executed to achieve best performance. It is also really cool to write your application code once and by changing only one line of code have it executed in a different platform (eg., Spark, Flink or standalone Java) regardless of where the data is stored.
Cons
Better documentation would ease deployment.
- Industry: Information Technology & Services
- Company size: 5,001–10,000 Employees
- Used Weekly for 6-12 months
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Convenient and Feature rich data Analytics tool
Reviewed on 2022/01/13
Pros
Automated determination and training of Source data.
Support for Multi Cloud with a single tool.
Low code and easy to integrate.
Cons
Nothing as of now, we are still evaluating for a product.
- Industry: Telecommunications
- Company size: 10,000+ Employees
- Used Weekly for 6-12 months
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 8.0 /10
Blossom review
Reviewed on 2022/02/23
Blossom allows you to focus on your application as it handles where a task will be executed (Spark,...
Blossom allows you to focus on your application as it handles where a task will be executed (Spark, Postgres or simple Java)
Pros
My tasks can be transferred between platforms with just minor changes
Cons
Support for SQL would be really helpful
- Industry: Biotechnology
- Company size: 51–200 Employees
- Used Weekly for 6-12 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
"Blossom enables data analysis over multiple data sources in a simple and transparent manner"
Reviewed on 2022/02/17
Pros
Its ease of use and its robustness to pick the right data processing platforms.
Cons
I believe that it is missing a SQL interface, which would add to the dashboard to run analytics simpler
- Industry: Information Technology & Services
- Company size: 201–500 Employees
- Used Weekly for 1-5 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Easy to use API to construct any dataflow task
Reviewed on 2022/02/22
Pros
Easy to use API, makes the training of ML pipelines faster as it can run on distributed platforms such as Spark for example.
Cons
Missing support of SQL queries, it would be useful to include this
- Industry: Research
- Company size: 51–200 Employees
- Used Weekly for Free Trial
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
Databloom is easy to learn and master
Reviewed on 2022/03/10
Pros
It is surprising how easy is to configure Databloom and how easy I could setup my federated learning models
Cons
For a few complex scenarios, the set up may require advanced acknowledge of federated learning concepts
- Industry: Research
- Company size: 5,001–10,000 Employees
- Used Monthly for 1-5 months
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Review Source
Overall rating
- Ease of Use
- Likelihood to recommend 8.0 /10
Promising data platform
Reviewed on 2022/01/07
Pros
Supports wide array of data processing platforms. Seamless data analytics across sources. Easy to integrate existing into existing applications
Cons
Limited support for stream data analytics and graph data processing platforms.
- Industry: Research
- Company size: 51–200 Employees
- Used Monthly for 1-5 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Likelihood to recommend 9.0 /10
Promising software
Reviewed on 2021/12/29
Pros
Support for wide variety of data analytics platform was very useful.
Cons
There is a a bit of learning curve involved .. the amount of functionality is a bit overwhelming. It would be helpful to provide some more on-ramp for each use case.
- Industry: Management Consulting
- Company size: 10,000+ Employees
- Used Daily for 1-5 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Verteilte Analyseprozesse einfach gemacht
Reviewed on 2021/12/18
Pros
Es muss nur eine Zeile Java Code eingefügt werden, keine aufwändiges Anpassen von Queries für die unteschiedlichen Endsysteme
Cons
Im Moment noch sehr tech lastig, die UI braucht noch etwas
Response from databloom
Thank you for choosing Databloom Blossom Platform.
We work on a new user interface, which will be available for beta customers end of Q1/22.
- Industry: Oil & Energy
- Company size: 501–1,000 Employees
- Used Weekly for Free Trial
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
El principal atractivo de Blossom es su facilidad de uso.
Reviewed on 2022/02/10
Pues se ha utilizado para realizar pruebas en el análisis de datos en diferentes sistemas de...
Pues se ha utilizado para realizar pruebas en el análisis de datos en diferentes sistemas de almacenamiento (polystore).
Pros
La facilidad de uso, soporte de muchos sistemas de procesamiento de datos y su funcionalidad de Federated Learning.
Cons
Aunque la interface básica es sencilla de utilizar se puede mejorar para poder hacer los dataflows, y otro punto es que se puede mejorar la documentación.
Response from databloom
Thank you for your review!
- Industry: Oil & Energy
- Company size: 501–1,000 Employees
- Used Weekly for Free Trial
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
Gran sistema para la consulta de varios fuentes de datos a escala
Reviewed on 2022/02/23
Pros
Facilidad para consultar fuentes de datos distribuidas, interfaz grafica intuitiva, eficacia en la consulta de datos, uso amigable del sistema.
Cons
La documentación debería de mejorar, sobre todo en como soportar los casos de uso no tan comunes