Databricks Lakehouse Platform vs Lexalytics

Likelihood to Recommend

Databricks has helped my teams write PySpark and Spark SQL jobs and test them out before formally integrating them in Spark jobs. Through Databricks we can create parquet and JSON output files. Datamodelers and scientists who are not very good with coding can get good insight into the data using the notebooks that can be developed by the engineers.

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Verified User

Team Lead in Engineering

Financial Services Company, 10,001+ employees

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If you are a basic license user, semantria does well and presents analysis quickly. After the analysis, it creates multiple tabs with different views of the data and some visualizations and graph analysis also. The graph analysis and node connector graph is very useful. Their algorithm is very strong and it gives correct sentiment score even for neutral statements. I didnt get to use the API version of semantria so have no comments about that. Upon reading online about it, i found that the integration takes a while .

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Jasmeet S Babra

Marketing Data Analyst

BrandifyInformation Technology and Services, 11-50 employees

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Pros

It supports all data science programming languages like Python and R
it takes very few minutes to deploy models into production
it has tools that ensures collaborations between developers

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Kofi Joshua

Machine Learning And Deep Learning Mentee

Runmila AI InstituteEducation Management, 201-500 employees

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assign sentiment score
word cloud
Categorization
multilingual
has good visualization

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Jasmeet S Babra

Marketing Data Analyst

BrandifyInformation Technology and Services, 11-50 employees

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Cons

Better Localized Testing
When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
Graphing Support went non-existent; when it was one of their compelling general engine.

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Verified User

Director in Information Technology

Financial Services Company, 201-500 employees

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extra pricing option for more languages
limited transactions for basic license
tends to crash with large data sets on Excel.

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Jasmeet S Babra

Marketing Data Analyst

BrandifyInformation Technology and Services, 11-50 employees

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Usability

Databricks Lakehouse Platform 9.0

Based on 1 answer

This has been very useful in my organization for shared notebooks, integrated data pipeline automation and data sources integrations. Integration with AWS is seamless. Non tech users can easily learn how to use Databricks. You can have your company LDAP connect to it for login based access controls to some extent

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Verified User

Team Lead in Engineering

Financial Services Company, 10,001+ employees

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No score

No answers yet

No answers on this topic

Alternatives Considered

I also use Microsoft Azure Machine Learning in parallel with Databricks. They use different file formats which teach me to be flexible and able to write different programs. They are equally useful to me and I would like to master both platforms for any future usage. I do prefer Databricks because it could be free if I decided to go with the Databricks Community Edition only.

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Ann Le

Freelance Translator

ZOO Digital Group plcEntertainment, 501-1000 employees

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Semantria holds its ground pretty well. Their Excel plugin works flawlessly. Apart from semantria, i have used Vivekn sentiment analysis which is just a basic text input -web based sentiment tool, giving you sentiment score and sentiment category. Semantria gives an array of analysis for its excel version. The only good thing about Vivekn is its web based so can be used from a mobile device.

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Jasmeet S Babra

Marketing Data Analyst

BrandifyInformation Technology and Services, 11-50 employees

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Return on Investment

Rapid growth of analytics within our company.
Cost model aligns with usage allowing us to make a reasonable initial investment and scale the cost as we realize the value.
Platform is easy to learn and Databricks provides excellent support and training.
Platform does not require a large DevOPs investment

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Verified User

Strategist in Engineering

Computer Hardware Company, 10,001+ employees

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No answers on this topic

Pricing Details

General

Free Trial

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Free/Freemium Version

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Premium Consulting/Integration Services

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Entry-level set up fee?

No

Databricks Lakehouse Platform Editions & Modules

Edition

Standard	$0.07¹
Premium	$0.10¹
Enterprise	$0.13¹

Per DBU

Additional Pricing Details

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General

Free Trial

Yes

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Lexalytics Editions & Modules

Edition

System Cost	$10,000.00

Additional Pricing Details

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