IBM watsonx.data as a Service
IBM SoftwareExternal reviews
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We've gone to zero to production in 3 months. Top notch support from different departments.
What do you like best about the product?
Support
Vector similarity search
Different API availability and support
Vector similarity search
Different API availability and support
What do you dislike about the product?
Documentation is a little lacking but made up up by direct support.
What problems is the product solving and how is that benefiting you?
Integration with AI applications
Astra DB simplifies your life by supporting a wide range of data formats
What do you like best about the product?
It is really easy to use and supports a wide range of data formats, including vectorized, columnar-based, and more. Additionally, DataStax is very robust, and its support team is extremely responsive.
What do you dislike about the product?
Although it is user-friendly, mastering and optimizing all the features offered by the database can present a steep learning curve initially.
What problems is the product solving and how is that benefiting you?
Indexing SharePoint documents to build a generative AI chatbot that can search and generate content based on the knowledge base stored in SharePoint.
Thrilled with the rapid development and focus on user feedback at DataStax Astra DB!
What do you like best about the product?
I'm constantly impressed by their dedication to swiftly integrating new features based on user feedback. A big shoutout to Preethi Srinivasan and the entire team for their responsiveness and commitment to making Astra DB the best possible solution for developers.
The recent integration with unstructured.io is a game-changer, and I'm already seeing the benefits in my workflow. Looking ahead, I'm particularly excited about the upcoming server-side embeddings ingestion feature. This will further streamline my development process and unlock new possibilities for my projects.
Astra DB's intuitive interface makes it a breeze to navigate and manage my data, even for those with less technical expertise.
Getting started with Astra DB was incredibly straightforward. The quick setup process allowed me to focus on development instead of wrestling with complex infrastructure.
The DataStax Astra DB customer support team is exceptional. They are consistently responsive, knowledgeable, and go the extra mile to resolve any issues promptly.
DataStax Astra DB truly prioritizes its user community, and it shows. Keep up the fantastic work!
The recent integration with unstructured.io is a game-changer, and I'm already seeing the benefits in my workflow. Looking ahead, I'm particularly excited about the upcoming server-side embeddings ingestion feature. This will further streamline my development process and unlock new possibilities for my projects.
Astra DB's intuitive interface makes it a breeze to navigate and manage my data, even for those with less technical expertise.
Getting started with Astra DB was incredibly straightforward. The quick setup process allowed me to focus on development instead of wrestling with complex infrastructure.
The DataStax Astra DB customer support team is exceptional. They are consistently responsive, knowledgeable, and go the extra mile to resolve any issues promptly.
DataStax Astra DB truly prioritizes its user community, and it shows. Keep up the fantastic work!
What do you dislike about the product?
Nothing.
Looking forward for upcoming Features
Looking forward for upcoming Features
What problems is the product solving and how is that benefiting you?
Ease of Integration as well as integrations, like server side embeddings.
Also the cost was effective.
Also the cost was effective.
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.
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.
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