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Exploring the pros and Cons of IBM watson : A complete overview
What do you like best about the product?
IBM watson's advaneced anaytics tools are really good which allow us to unravelintricate patterns and take impriotant decisions for business.
Anaother good thing about this is its seamless data integration.
This also provides collaborative environment which help in increasing efficiency in team. Overall its a very rich tool.
Anaother good thing about this is its seamless data integration.
This also provides collaborative environment which help in increasing efficiency in team. Overall its a very rich tool.
What do you dislike about the product?
Initially I found this really difficult to learn and this is something which can be worked upon like its not thatb easy to learn.
There were some cases and situations when we faced a lot of difficulty integration couple of data sources. And last but not the least is that this can be used for some specific situations but can not fit directly into complex business problems.
There were some cases and situations when we faced a lot of difficulty integration couple of data sources. And last but not the least is that this can be used for some specific situations but can not fit directly into complex business problems.
What problems is the product solving and how is that benefiting you?
Its NLP services are too good and we used this in lot of projects but this was really helpful in our project of customer calls data for loaylty team.
IBM Watson : A simplified AI solution
What do you like best about the product?
IBM watson offers extensive suite for Cognitive computing, NLP, ML-AI, data analytics, Assistant service and Languge models and translations.
Its easy to use and is perfectly suitable for business needs which doesn't need for a seperare development team to use.
This product is build with lot's for expertise from IBM which started from 2007.
It offers powerful capabities which suits modern data needs and it offers wide support for API & SDK which make interactions easy.
Its easy to use and is perfectly suitable for business needs which doesn't need for a seperare development team to use.
This product is build with lot's for expertise from IBM which started from 2007.
It offers powerful capabities which suits modern data needs and it offers wide support for API & SDK which make interactions easy.
What do you dislike about the product?
There are quite some customisation and integration challenges which is not so easy. Also, it needs continuous trainings for the the staff to utilise the platform potentially.
What problems is the product solving and how is that benefiting you?
NLP for building end users service automation services, Watson can be delegated assistant in medical and other industries.
Data Lake house
What do you like best about the product?
Great solution if you want to access all company data in one place (hub)
Ability to access structured, semi-structured and unstructured data
Ability to access structured, semi-structured and unstructured data
What do you dislike about the product?
At the moment I can't say anything negative. So far it is meeting my expectations.
Maybe IBM should make more efforts to access more clients.
Maybe IBM should make more efforts to access more clients.
What problems is the product solving and how is that benefiting you?
The main problem that the tool solves is being able to access data easily (both data from a data warehouse and file type data).
On the other hand, it has several execution engines (spark and presto), they promise more engines in the future
On the other hand, it has several execution engines (spark and presto), they promise more engines in the future
Software Developer
What do you like best about the product?
I Like DataStax's robust support for Apache Cassandra, enabling seamless management of large datasets with high availability. Its unified platform for hybrid and multi-cloud environments, with advanced analytics and search capabilities, sets it apart. The company's commitment to community engagement and innovation is commendable, making it a top choice for comprehensive data management solutions.
What do you dislike about the product?
I mostly like everything and neecds more improvement on cloud part.
What problems is the product solving and how is that benefiting you?
DataStax solves the problem of scalable and fault-tolerant data management, benefiting me by providing a reliable platform. Its unified hybrid and multi-cloud support streamlines data handling. Integration of advanced analytics and search capabilities helps me derive insights, and its community engagement offers valuable resources and support for innovation.
Running Apache Cassandra/Pulsar for Enterprise
What do you like best about the product?
The scalability of Cassandra, along with the customizations done by Datastax, is terrific for enterprise use cases. AstraDB, their Database as a service, is easy to use and cost-effective. There are drivers/SDKs/APIs for most languages/tools/frameworks you want to integrate with. Stargate is a cherry on top of the cake. The Astra Streaming service is an excellent managed service of Apache Pulsar.
What do you dislike about the product?
A few general issues with Apache Cassandra are no transactional guarantee and joins. The eventual consistency will not work for all use cases. The Astra service lacks capabilities for extendable monitoring and observability. Datastax Astra also lacks the ability for refined RBAC and network security.
What problems is the product solving and how is that benefiting you?
We use Datastax Astra DB and Streaming for our database and streaming needs. The billing is simple, and the integration is as well. The serverless database helped us reduce the overall costs.
DBA
What do you like best about the product?
It's distributed capability, availability and horizontal scaleability.
What do you dislike about the product?
One area I wanted to see in their next major version is ease fo backup tool. Maybe integrated within OpsCenter with more flexibility.
What problems is the product solving and how is that benefiting you?
RDBMs typically very hard to scale horizontally and it gets performance degradation as your data increases, however if you design your queries and data model correctly and properly, the speed of operations are sub-millis, especially for large write operations.
Good experience, very good product
What do you like best about the product?
The quality of the product is really good, it really goes beyond the open source Apache Cassandra.
What do you dislike about the product?
The quality of the support, from time to time we had issues lasting for more than a year (sic), or every time we had to explain our setup to the support representative as they had no clue about our company and our background.
What problems is the product solving and how is that benefiting you?
We manage to provide a platform as a service to multiple different development teams. DataStax came into the play because no one had the knowledge on distributed databases at scale so their participation was paramount to the kickoff of the project.
Recommendations to others considering the product:
They have a good product and a huge experience with multiple different customers from different business domains. They are also offering now a flavor based on the open source version that might help people or organizations with specific needs, or afraid of lock-in, which is great.
DataStax Power Cisco
What do you like best about the product?
1. High Availbility
2. Performance
3. Easy Install and Configured
4. Other Component like Spark,Solr and Graph
5. Easy to manage and save man hours
6. Support
7. Friendly behaviour by DataStax team
2. Performance
3. Easy Install and Configured
4. Other Component like Spark,Solr and Graph
5. Easy to manage and save man hours
6. Support
7. Friendly behaviour by DataStax team
What do you dislike about the product?
1. Integration with other Apache product
2. Add more query related features in cassandra work load.
3. Enhance Inc Backup kayespace/Column family level
4. More Webinar and marketing like other Competator doing.
2. Add more query related features in cassandra work load.
3. Enhance Inc Backup kayespace/Column family level
4. More Webinar and marketing like other Competator doing.
What problems is the product solving and how is that benefiting you?
1. day to day Production issue
2. Data Modeling
3. Architecture walk through
4. Prformance
5. Corruptions
6. Patches and Bugs
2. Data Modeling
3. Architecture walk through
4. Prformance
5. Corruptions
6. Patches and Bugs
Is DataStax Worth the Hype?
What do you like best about the product?
This program is awesome for keeping track of and managing your data! I would recommend it to anyone. Very easy to use and performs magnificently.
What do you dislike about the product?
I cannot think of anything that I dislike about DataStax.
What problems is the product solving and how is that benefiting you?
No problems. Benefits are awesome! I am now able to easily manage my data in a way that I have never before been able to.
Recommendations to others considering the product:
Give it a try! You won’t be disappointed.
Great for Cassandra implementations
What do you like best about the product?
Best in class Distribution of Apache
Cassandra addresses challenges involving adoption, maintainability and support by streamlining operations and control costs for all your Apache Cassandra workloads.
Cassandra addresses challenges involving adoption, maintainability and support by streamlining operations and control costs for all your Apache Cassandra workloads.
What do you dislike about the product?
Need the complete enterprise version for advanced database features, security and analytics,. Do not use for use cases that requires a relational DB and ACID transactions
What problems is the product solving and how is that benefiting you?
Implementation of globally distributed, linearly scalable for high streaming data writes - for transaction logging, storing time series data, tracking etc.
Recommendations to others considering the product:
You may need this if you want a enterprise version of Cassandra implementation to leverage full potential
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