DataStax offers next-level customer support with a great product. The team is always available and eager to help. Astra DB has allowed us to build out some pretty unique features that our customers are loving. I'd recommend their tech to anyone building an AI-first company. Review collected by and hosted on G2.com.

We have not had any issues. The DataStax team and product have been great. Review collected by and hosted on G2.com.

IBM Watsonx is an open source tool that contains safe features and by which I have successfully integrated it with my company's data process system. The intention was to create a secure AI based process system that the company could rely upon. The reason we set up IBM Watsonx as part of our new AI projects at first is for the good data science that comes along. For this cause, Watsonx is one of the most scalable tools. Review collected by and hosted on G2.com.

Even though IBM watsonx.data is very scalable, it is also very costly and resource heavy and the cost can drastically increase as you try to analyze large amount of data and you may even notice slight lag too. Review collected by and hosted on G2.com.

Astra's Vector capabilites is one of the foundations of our product. From vectorising product catalogues and partner data to searching complex queries, in real-time, on unstructured data, it's an incredibly powerful tool.

When working with larger brands it's imperative that we're enterprise-ready, that our models are fully customizable and can be hosted in partner environments - something which DataStax allows us to do.

Finally, the team at DataStax are just awesome. They have been supportive from day 1, supporting us from MVP to enterprise-ready software. The team do an amazing job at ensuring the tech is up to date and providing us with great support whenever we need it. Review collected by and hosted on G2.com.

There isn't much to dislike about DataStax. The team and product is brilliant. Review collected by and hosted on G2.com.

It's perfect and unique which helps all the stakeholders in the future. Review collected by and hosted on G2.com.

1. Complexity: Setting up and configuring the platform may be challenging for users without prior experience or technical knowledge in big data environments.

2. Pricing: For small or medium-sized enterprises, the cost associated with Watsonx.data could be considered high compared to other cloud-based data platforms.

3. Integration challenges: Although Watsonx.data supports multiple data sources, integrating with certain legacy systems or less common third-party tools might require additional effort.

4. Learning curve: For users new to IBM's ecosystem, mastering the various features and functionalities of Watsonx.data could take time. Review collected by and hosted on G2.com.

Datastax was able to provide enterprise class product for an Open Source project Apache Cassandra. It is continuing to contribute to open source project. Datastax provides multiple offerings of Cassandra - Dedicated On prem model, Managed Service and Pay per use model.

While migrating from Self managed to Datstax Astra DB, it was ease of implementation that made migration super successful. On going improvements to the product with its roadmap is great to work with Review collected by and hosted on G2.com.

Datastax Enterprise Support is still not completely matured, it is still work in progress. Review collected by and hosted on G2.com.

IBM Watsonx.data is the best choice for the safe use and best-featured data for your management. Working in a large collection just when needed, starting from scratch up to using the data to get solutions for various data problems, could be helpful in terms of time and effort. With WatsonX.Data, we can quickly train, tweak, and test different machine learning models and then put them to use. The sandstone models are used for fine-tuning tasks that are specific to them, and granite is the base for GPT-like architecture. It saves time, money, friendly to the environment, and is also so much effective. Review collected by and hosted on G2.com.

The APIs integration could be improved and the performance lag should be reduced also. Review collected by and hosted on G2.com.

Best in using loaded data interact with datasets and use accordingly and learn with projects Review collected by and hosted on G2.com.

UI can be more specific and easy to understand the flow Review collected by and hosted on G2.com.

I started using AstraDB because it was mentioned as one of the options available to implement memory in Langchain.

The implementation was straightforward and it's worked seamesly from day one.

In the DataStrax team I found a reliable partner and they helped me to find solutions when I was stuck in the process, advicing and using their experience and experties to our service. Review collected by and hosted on G2.com.

Honestly nothing. Even when my requests were outside their main experities, they found a way to be supportive. Review collected by and hosted on G2.com.

After almost five years of use, I must say that I have been very impressed by IBM Watsonx.data. However, this is such a powerful and intuitive platform for easier data administration and analysis. Due to its adaptability, it can deal with different data types. It interacts seamlessly with the AI tools. The most striking feature is the visualization of data with advanced analytics. It could handle both structured and unorganized data with absolute brilliance, thus increasing my productivity by significant margins. Watsonx.data has been my tool of choice in all my data work. Review collected by and hosted on G2.com.

IBM Watson.data is very resource heavy and since the introduction of AI, it can consume quite a bit of RAM. So the cost can drastically increase if you don't keep an eye on how much resources it is consuming. Review collected by and hosted on G2.com.

It is safe to use with high security. This helps businesses extract meaningful patterns and predictions, making data-driven decision-making much more efficient. It supports multi-cloud and hybrid data deployments, which gives businesses the flexibility to choose their cloud providers while maintaining control over their data. Review collected by and hosted on G2.com.

Managing and configuring the full range of tools may require a steep learning curve. This might make it harder or more expensive to switch to another provider down the line.Compared to more widely used open-source tools like Apache Hadoop or Spark, Watsonx.data has a smaller community of developers and experts. Review collected by and hosted on G2.com.