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Goto database for VectorDB
What do you like best about the product?
Colloborative Support
Access to bleeding edge features
Enterprise Grade stability and reliability
Access to bleeding edge features
Enterprise Grade stability and reliability
What do you dislike about the product?
Nothing in particular to dislike or concerned
What problems is the product solving and how is that benefiting you?
Solving vertical industry generative AI use-cases backed by Astra Vector Databases provides a strong enterprise grade infrastructure with bleeding edge features, which helps us release SOTA solutions.
AI powered Analytics.
What do you like best about the product?
The generative AI enabled conversational features helps to get the complex insights very simply, and its easy to integrate with databases.
What do you dislike about the product?
Costing is bit on the higher side which can be reduced or can be provided more trails so that user can atleast get comfortable with the tool in the trail period only.
What problems is the product solving and how is that benefiting you?
It helped in Data warehouseing while a very big chunk of file which we generated organisational wide that gets stored and manage very efficiency .
Quality enterprise class NOSQL provider with excellent professional services
What do you like best about the product?
Implementation is as easy as signing up on a website
Easy to get going, abstracts complexity of Cassandra
Scalability & On-demand performance reduces overall cost
Provides additional capabilities which greatly enhance integration with other systems
Excellent customer support
Easy to get going, abstracts complexity of Cassandra
Scalability & On-demand performance reduces overall cost
Provides additional capabilities which greatly enhance integration with other systems
Excellent customer support
What do you dislike about the product?
Nothing much - CQL for Cassandra is perhaps a disadvantage
What problems is the product solving and how is that benefiting you?
Cassandra is challenging to manage at a large scale in production. DataStax enables enterprise class capabilities at the click of a button. It minimises compliance risk arising from hacky custom scripting, and allows your teams to focus on developing more where it matters.
Review
What do you like best about the product?
Help us effortlessly reach and examine our widespread data, making the most of our resources to provide better user experiences. IBM Watson and AWS are improving cloud-based analytics and AI, allowing organizations to speed up their strategies for updating their data systems.
What do you dislike about the product?
Too expensive when compare to other data tools in the market
What problems is the product solving and how is that benefiting you?
Easy data access for analysis.
User experience by enhancing cloud based analytics and AI capabilities.(unified view of data)
Resource utilization.
Data Modernization which can lead to more agile and effective data mgmnt practices.
User experience by enhancing cloud based analytics and AI capabilities.(unified view of data)
Resource utilization.
Data Modernization which can lead to more agile and effective data mgmnt practices.
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.
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