Databricks Data Intelligence Platform vs. Weka.IO

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Databricks Data Intelligence Platform
Score 8.5 out of 10
N/A
Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization. Its Data Science Workspace is a collaborative environment for practitioners to run…
$0.07
Per DBU
Weka.IO
Score 8.0 out of 10
N/A
WekaIO headquartered in San Jose offers their file system and storage management platform, for multiple storage workloads, supporting AI and computationally intensive workloads and applications.N/A
Pricing
Databricks Data Intelligence PlatformWeka.IO
Editions & Modules
Standard
$0.07
Per DBU
Premium
$0.10
Per DBU
Enterprise
$0.13
Per DBU
No answers on this topic
Offerings
Pricing Offerings
Databricks Data Intelligence PlatformWeka.IO
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Databricks Data Intelligence PlatformWeka.IO
Top Pros
Top Cons

No answers on this topic

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Databricks Data Intelligence PlatformWeka.IO
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Score 8.7 out of 10
Medium-sized Companies
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Score 9.0 out of 10
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Score 9.4 out of 10
Enterprises
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Score 9.4 out of 10
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User Ratings
Databricks Data Intelligence PlatformWeka.IO
Likelihood to Recommend
8.4
(17 ratings)
9.0
(1 ratings)
Usability
9.5
(3 ratings)
-
(0 ratings)
Support Rating
8.6
(2 ratings)
9.0
(1 ratings)
Contract Terms and Pricing Model
8.0
(1 ratings)
-
(0 ratings)
Professional Services
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
Databricks Data Intelligence PlatformWeka.IO
Likelihood to Recommend
Databricks
If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.
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WekaIO
Weka.IO is really well suited for anyone who needs high availability and high-performance computing capabilities with just the click of a button. It has really made us able to provision and replicate applications in the public cloud, and to not spin up a ton of costs from that cloud provider.
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Pros
Databricks
  • Process raw data in One Lake (S3) env to relational tables and views
  • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
  • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
  • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
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WekaIO
  • File systems.
  • All flash.
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Cons
Databricks
  • Connect my local code in Visual code to my Databricks Lakehouse Platform cluster so I can run the code on the cluster. The old databricks-connect approach has many bugs and is hard to set up. The new Databricks Lakehouse Platform extension on Visual Code, doesn't allow the developers to debug their code line by line (only we can run the code).
  • Maybe have a specific Databricks Lakehouse Platform IDE that can be used by Databricks Lakehouse Platform users to develop locally.
  • Visualization in MLFLOW experiment can be enhanced
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WekaIO
No answers on this topic
Usability
Databricks
Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

in terms of graph generation and interaction it could improve their UI and UX
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WekaIO
No answers on this topic
Support Rating
Databricks
One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
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WekaIO
We can't really complain about anything with Weka.IO. It works as it should, and we've never had any real issues. We feel they offer the best latency and workload options for the file types that we see the most often. The on-demand scaling is really helpful to our costs.
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Alternatives Considered
Databricks
Compared to Synapse & Snowflake, Databricks provides a much better development experience, and deeper configuration capabilities. It works out-of-the-box but still allows you intricate customisation of the environment. I find Databricks very flexible and resilient at the same time while Synapse and Snowflake feel more limited in terms of configuration and connectivity to external tools.
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WekaIO
We really like that their platform is based on hardware-independent storage, and all Flash. It's exceptionally fast and very easy to use. Almost anyone could use it, as it's very user-friendly, and they in a sense guide you through the process. It's very helpful and helps us manage costs very well.
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Return on Investment
Databricks
  • The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
  • DB has the ability to terminate/time out instances which helps manage cost.
  • The ability to quickly access typical hard to build data scenarios easily is a strength.
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WekaIO
  • Positive .
  • It's worth the money.
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