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Delta Lake vs. IBM watsonx.data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Delta Lake
Score 10.0 out of 10
N/A
Delta Lake is an open source project that enables building a Lakehouse architecture on top of data lakes. Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing on top of existing data lakes, such as S3, ADLS, GCS, and HDFS.
$0
per month
IBM watsonx.data
Score 7.9 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
Delta LakeIBM watsonx.data
Editions & Modules
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Offerings
Pricing Offerings
Delta LakeIBM watsonx.data
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Delta LakeIBM watsonx.data
Top Cons

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Best Alternatives
Delta LakeIBM watsonx.data
Small Businesses

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Medium-sized Companies
Snowflake
Snowflake
Score 9.0 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
Enterprises
Snowflake
Snowflake
Score 9.0 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Delta LakeIBM watsonx.data
Likelihood to Recommend
-
(0 ratings)
7.7
(3 ratings)
User Testimonials
Delta LakeIBM watsonx.data
Likelihood to Recommend
Open Source
No answers on this topic
IBM
Obviously IBM watsonx.data has been designed to work well with other watson products (mainly watsonx.ai), so it makes sense to use it as a vector database for watson.ai. The semantic automation feature is promising, but I think it is not ready yet for a large scale rollout so I would recommend using it only for demos/proof of concepts.
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Anonymous
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Pros
Open Source
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IBM
  • Data processing.
  • Train AI models.
  • Data storage.
  • API library.
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Anonymous
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Cons
Open Source
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IBM
  • Too expensive so reduce the price
  • Provide room for Asset management
  • everyone know about licenses, its too expensive so reduce the prices
  • Integrations are not flexible and not easy to use
Verified User
Anonymous
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Alternatives Considered
Open Source
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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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Anonymous
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Return on Investment
Open Source
No answers on this topic
IBM
  • Increased productivity.
  • It is costly.
  • Improved data collection and processing.
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Anonymous
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ScreenShots