IBM watsonx.data

IBM watsonx.data

IBM watsonx.data

57 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
IBM watsonx.data	Score 8.7 out of 10	N/A	Watsonx.data is presented as an open, hybrid and governed data store that makes it possible for enterprises to scale analytics and AI with a fit-for-purpose data store, built on an open lakehouse architecture, supported by querying, governance and open data formats to access and share data.	N/A

Pricing

IBM watsonx.data

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
IBM watsonx.data
Free Trial
Yes
Free/Freemium Version
No
Premium Consulting/Integration Services
No

Entry-level Setup Fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	IBM watsonx.data
Considered Both Products	IBM watsonx.data Murali Madhanagopal Architect Chose IBM watsonx.data watsonx supports open data types Incentivized Helpful? Verified User Partner Chose IBM watsonx.data We use IBM watsonx.data as a unified data platform to integrate and govern data across systems, eliminating silos and improving data quality. Its open lakehouse architecture enables faster, trusted access to data for AI, analytics, and reporting, forming the foundation for … Incentivized Helpful? Verified User Manager Chose IBM watsonx.data Already using the watsonx.orchestrate, so it's was easier to incorporate this into existing infrastructure. Incentivized Helpful? Verified User Engineer Chose IBM watsonx.data The three pair nicely together to create my own RAG solution in a controlled manner. Incentivized Helpful? Verified User Executive Chose IBM watsonx.data We chose IBM watsonx.data for our organization because IBM watsonx.data has Open-source support Incentivized Helpful? JM Jim McDonough President Chose IBM watsonx.data IBM watsonx.data stacks up against Snowflake very well. It come in at a less expensive price. Also, you can run IBM watsonx.data on any cloud. or on prem.. Much more flexible. Incentivized Helpful? Verified User Partner Chose IBM watsonx.data with iceberg open table format and Presto engine the performance and flexibility increased and also with watsonx.ai with GENAI capability which other tools lag as of now. Incentivized Helpful? Prajwal Shetty Senior Cloud Solutions Engineer Chose IBM watsonx.data Oracle really cost effective solution, where it has the support of community, with rich integration of all wide range of oracle products. Amazon SageMaker is another cost effective solution, where is tightly coupled with AWS platform, in terms of performance it copes up really … Incentivized Helpful? Verified User Engineer Chose IBM watsonx.data IBM watsonx.data integrates well with other IBM services used in our deployment and provides enterprise grade security which is critical for our regulated business Incentivized Helpful? Shrideep Tamboli AI Engineer Chose IBM watsonx.data AstraDB was giving me vector database solutions, Retrieval Augmented Generation features and even Agentic workflows that IBM watsonx.data does not have currently. But the volume of data I've coming everyday and has to deal with everyday, can do anomaly detection just in plain … Incentivized Helpful? Verified User Program Manager Chose IBM watsonx.data Pinecone and IBM watsonx.data (Milvus in our case) both work great as a full-managed cloud-based vector database. We selected IBM watsonx.data because it integrates well with watson.ai and is a little more beginner friendly than Pinecone, but I think both are great anyway. Helpful? Verified User Employee Chose IBM watsonx.data IBM watsonx.data helps in reducing data warehousing costs. IBM AIOps Insights focuses mainly on incident management, while IBM watsonx.data provides a flexible data store. Incentivized Helpful? Verified User Former Employee Chose IBM watsonx.data May be I cannot say why I choose, business preferred to use IBM watsonx.data which is good for me as well to learn. I cannot compare this tool with others because it has unique feature which Alteryx or Amazon or Azure dont have. So this tool is going good for us. Incentivized Helpful? Verified User C-Level Executive Chose IBM watsonx.data I believe DataStax Enterprise is the best in class. There are some things that are different with the schema-less systems but I found DataStax Enterprise easiest to implement while evaluating. The replication is on par or better than others in practice. We are evaluating … Helpful? Julian Chultarsky Principal Technologist Chose IBM watsonx.data DataStax Enterprise offered best-in-class write performance and scalability. The customer support team was very helpful in the adoption of new technology. Incentivized Helpful? Verified User Employee Chose IBM watsonx.data DataStax has an amazing community built around it and is also Cassandra is an open-source technology. The customer support is quite good compared to other vendors. Though you initially need to spend some hefty amount on infrastructure, in the long run, it makes up for it. We … Incentivized Helpful? Verified User Engineer Chose IBM watsonx.data We chose datastax because we need a system always available and capable of ingesting a large amount of data per second, even if eventually consistent and with multi data center sync native support. We considered Cloudera as an alternative using Kafka as the ingestion layer but … Incentivized Helpful? Verified User Professional Chose IBM watsonx.data Amazon DynamoDB and Datastax Cassandra are similar on masterless architecture and principles, DynamoDB is managed and needs cost analysis. If you need to have better control, Datastax is better. I also did a prototype with Google Spanner in one of the recent innovation days, it … Incentivized Helpful?

Best Alternatives
	IBM watsonx.data
Small Businesses	No answers on this topic
Medium-sized Companies	Snowflake Score 8.7 out of 10
Enterprises	Snowflake Score 8.7 out of 10
All Alternatives	View all alternatives

User Ratings
	IBM watsonx.data
Likelihood to Recommend	8.7 (27 ratings)
Likelihood to Renew	7.7 (3 ratings)
Usability	7.7 (9 ratings)
Support Rating	9.3 (3 ratings)

User Testimonials
	IBM watsonx.data
Likelihood to Recommend	IBM Real-time transaction processing (both reads and writes) is where DataStax Enterprise shines. It's very fast with linear scalability should more resources be needed. Additional nodes are added very easily. DataStax Enterprise on its own (without Solr or Spark enabled) isn't well suited for long complicated reports. The data model doesn't support joining multiple tables together which is common in BI reporting. Verified User Anonymous Read full review
Pros	IBM Datastax Cassandra provides high availability and good performance for a database. It is built on top of open source Apache Cassandra so you can always somewhat understand the internal functioning and why. Datastax Cassandra is fairly simple to start using, you can install/setup your cluster and be productive in 1 day. Datastax Cassandra provides a lot of good detailed documentation, and when starting, the detailed free videos on the Datastax site and documentation are very helpful. Datastax Enterprise Edition of Cassandra provides more tools, good support, and quick response SLA for enterprise business support. Incentivized Verified User Anonymous Read full review
Cons	IBM Integration complexity with Security Tools while watsonx.Data is well-suited for native tools, but integration with third-party security tools requires custom connectors or manual ETL pipelines. which leads to an increase in setup time. User interface and query time can be improved. Incentivized Harshal Pachpande Analyst Read full review
Likelihood to Renew	IBM As an open source technology Cassandra can be readily used with or without any commercial support. DataStax provides value-added services and features, and in the end it is up to individual situations to strike a balance between the desirability of such support/service versus the associated cost. Incentivized Robert Xu Director, Database Administration Read full review
Usability	IBM DataStax has a good community built around it and has amazing scalability options. Though the initial setup is a bit costly, in the long run, it makes up for it. It also has powerful monitoring tools and a clean UI. Incentivized Verified User Anonymous Read full review
Reliability and Availability	IBM good recovery features Incentivized Murali Madhanagopal Architect Read full review
Performance	IBM scalable product Incentivized Murali Madhanagopal Architect Read full review
Support Rating	IBM We have had a few situations where we caused an outage or something has gone wrong and we are able to get a support person to offer live help within minutes. The escalation process is excellent - the best I've seen - and the support team is incredibly strong. Outside of emergencies, the team is very helpful with general questions and working through data model exercises and the subscription I believe still comes with some hours to help get the data model reviewed. Verified User Anonymous Read full review
Online Training	IBM easy to follow documentation, support is there when needed Incentivized Murali Madhanagopal Architect Read full review
Implementation Rating	IBM use saas service Incentivized Murali Madhanagopal Architect Read full review
Alternatives Considered	IBM Pinecone and IBM watsonx.data (Milvus in our case) both work great as a full-managed cloud-based vector database. We selected IBM watsonx.data because it integrates well with watson.ai and is a little more beginner friendly than Pinecone, but I think both are great anyway. Verified User Anonymous Read full review
Scalability	IBM cognos integration works great Incentivized Murali Madhanagopal Architect Read full review
Return on Investment	IBM for one automation project, we managed to cut cloud storage costs by a third through IBM watsonx.data's lakehouse optimization data integration projects have had a 20 % reduction in turnaround times. Can only imagine how that will improve with the Claude partnership Incentivized Verified User Anonymous Read full review
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