TrustRadius

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 9.1 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
No answers on this topic
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
Community Pulse
Cribl LakeIBM watsonx.data
Considered Both Products
Cribl Lake

No answer on this topic

IBM watsonx.data
Verified User
Anonymous
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.
Verified User
Anonymous
Chose IBM watsonx.data
Salesforce Genie and Snowflake
Prajwal Shetty | TrustRadius Reviewer
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 …
Verified User
Anonymous
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
Shrideep Tamboli | TrustRadius Reviewer
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 …
Verified User
Anonymous
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.
Verified User
Anonymous
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.
Verified User
Anonymous
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.
CC
Christine Canassa
IT Specialist
Chose IBM watsonx.data
IBM watsonx.data has great capabilities on multiple data easy accessibility and easy to extract data and sharing to various platforms. The IBM watsonx.data still offers effective data protection and the ability to manage large amount of business data from one piont is …
Verified User
Anonymous
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 …
Verified User
Anonymous
Chose IBM watsonx.data
Already using the watsonx.orchestrate, so it's was easier to incorporate this into existing infrastructure.
Verified User
Anonymous
Chose IBM watsonx.data
IBM watsonx.ai and IBM watsonx.governance
Verified User
Anonymous
Chose IBM watsonx.data
The three pair nicely together to create my own RAG solution in a controlled manner.
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.
Best Alternatives
Cribl LakeIBM watsonx.data
Small Businesses

No answers on this topic

No answers on this topic

Medium-sized Companies
Snowflake
Snowflake
Score 8.9 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
Enterprises
Snowflake
Snowflake
Score 8.9 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cribl LakeIBM watsonx.data
Likelihood to Recommend
-
(0 ratings)
7.7
(0 ratings)
Usability
-
(0 ratings)
7.6
(0 ratings)
User Testimonials
Cribl LakeIBM watsonx.data
Likelihood to Recommend
No answers on this topic
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.
Verified User
Anonymous
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Pros
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  • 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.
Sarthak Chopra | TrustRadius Reviewer
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Cons
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  • Cloud based is the easy solution, though not always preferred
  • Slow importing of data due to the chunks causing many records
Verified User
Anonymous
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Usability
No answers on this topic
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.
Barbara Hilbun | TrustRadius Reviewer
Barbara Hilbun
Financial Analyst
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Alternatives Considered
No answers on this topic
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
Return on Investment
No answers on this topic
  • 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
Verified User
Anonymous
Read full review
ScreenShots