Cribl Lake vs. IBM watsonx.data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cribl Lake
Score 0.0 out of 10
N/A
Cribl’s turnkey data lake is designed to make it easier and more economical to store, access, replay, and analyze data, by providing long-term retention of logs, metrics, and traces. It stores data in open formats for fast retrieval, and offers policies for retention, security, and access control.N/A
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
Cribl LakeIBM watsonx.data
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
Cribl LakeIBM watsonx.data
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
Cribl LakeIBM watsonx.data
Small Businesses

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Medium-sized Companies
Snowflake
Snowflake
Score 8.7 out of 10
Snowflake
Snowflake
Score 8.7 out of 10
Enterprises
Snowflake
Snowflake
Score 8.7 out of 10
Snowflake
Snowflake
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cribl LakeIBM watsonx.data
Likelihood to Recommend
-
(0 ratings)
7.8
(21 ratings)
Usability
-
(0 ratings)
7.7
(6 ratings)
User Testimonials
Cribl LakeIBM watsonx.data
Likelihood to Recommend
Cribl Inc.
No answers on this topic
IBM
IBM watsonx.data is well suited for use cases were you have to combine various data sources to build a lakehouse. It provides a secure framework to gather data and provide access to it to build ML/AI models. It allows users to focus on prompts and business logic than spend time on data engineering.
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Pros
Cribl Inc.
No answers on this topic
IBM
  • It doesn't just store data but unlocks potential. I am able to analyse a vast amount of information, identify trends, and predict future outcomes.
  • It not only gives me high quality but accessible data as well. It handles missing values, outliers and feature engineering with case.
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Cons
Cribl Inc.
No answers on this topic
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.
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Likelihood to Renew
Cribl Inc.
No answers on this topic
IBM
i plan to use watsonx in 2026
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Usability
Cribl Inc.
No answers on this topic
IBM
I can give it 10/10 due to its impact in data analysis management. This is the right software for driving business insights and enhancing effective decision making. The infrastructure has the formal tools for preparing data before using it to make critical decisions. The NLP has enhanced standard analysis of unstructured data from social media websites.
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Reliability and Availability
Cribl Inc.
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IBM
good recovery features
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Performance
Cribl Inc.
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IBM
scalable product
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Support Rating
Cribl Inc.
No answers on this topic
IBM
very responsive to support requests
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Online Training
Cribl Inc.
No answers on this topic
IBM
easy to follow documentation, support is there when needed
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Implementation Rating
Cribl Inc.
No answers on this topic
IBM
use saas service
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Alternatives Considered
Cribl Inc.
No answers on this topic
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.
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Scalability
Cribl Inc.
No answers on this topic
IBM
cognos integration works great
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Return on Investment
Cribl Inc.
No answers on this topic
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
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ScreenShots