Databricks vs VAST Data comparison

The compared Databricks and VAST Data solutions aren't in the same category. Databricks is ranked #1 in Data Science Platforms , with an average rating of 8.2, and holds a 19.2% mindshare in the category. VAST Data is ranked #8 in N , with an average rating of 10.0, and holds a 5.1% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of VAST Data users who would recommend it.

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Executive SummaryUpdated on Oct 8, 2024

Databricks and VAST Data are leaders in data analytics and data storage. Databricks is preferred for its pricing and support, while VAST Data is noted for strong features.

Features: Databricks provides advanced machine learning, seamless cloud integration, and scalability. Its collaborative environment is highly valued. VAST Data features efficient storage, high performance, and data integrity.

Room for Improvement: Databricks needs simpler configuration and better documentation. VAST Data should improve analytics capabilities and interoperability with various data formats.

Ease of Deployment and Customer Service: Databricks is easier to deploy, with comprehensive support and guidance. VAST Data faces mixed reviews on deployment, but receives praise for customer service.

Pricing and ROI: Databricks is known for competitive pricing and valuable ROI in analytics. VAST Data has a higher upfront cost, with long-term savings in storage efficiency.

To learn more, read our detailed Data Science Platforms Report (Updated: November 2024).

Buyer's Guide

Data Science Platforms

November 2024

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IBM SPSS Statistics

Mindshare comparison

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Featured Reviews

Md Masudul Hassan

Agricultural Finance and IT Researcher at Sher-e-Bangla Agricultural University

Comprehensive data analysis capabilities with a user-friendly interface, providing an efficient and reliable platform for researchers and analysts

I believe that offering short-term SPSS licenses, perhaps when customer sourcing is available, could make it more affordable. These licenses shouldn't include features tailored for universities or large sales organizations. Instead, they could offer discounts or additional facilities for smaller entities to access the software. In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options. For example, offering basic features to the first hundred users can help them become familiar with the software and its capabilities. This approach encourages users to upgrade to higher tiers as they become more experienced and require additional functionality.

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Dunstan Matekenya

Data Scientist at a financial services firm with 10,001+ employees

Process large-scale data sets and integrates with Apache Spark with notebook environment

Databricks integrates natively with Apache Spark, which I use as a processing engine for large-scale datasets. This native integration is one of its strengths. Another strength is that the platform makes it very easy to manage resources. For example, setting up a cluster of five or fifteen nodes is straightforward with Databricks. The notebook environment is also excellent, making it easy to perform various tasks.

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Alan Powers

HPC CTO at a manufacturing company with 10,001+ employees

Stability-wise, a device that has been up and running for years

The failover capability and resiliency are some of the solution's valuable features. The big thing is resilience because it has richer coding in it, so multiple devices can't fail. Also, one can still access a number of CBoxes that can allow one to access their file system. Once a device fails, it fails the transparency of the end-user, and it just starts using another resource. The encryption capability, the snapshots, along with a whole bunch of features make the tool valuable. VAST Data keeps adding more and more features all the time.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."

"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."

"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."

"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."

"The most valuable features are the small learning curve and its ability to hold a lot of data."

"It offers very good visualization."

"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."

"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."

More IBM SPSS Statistics pros

"The solution is very easy to use."

"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."

"It's great technology."

"It can send out large data amounts."

"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."

"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."

"The ability to stream data and the windowing feature are valuable."

"The tool helps with data processing and analytics with large-scale data or big data since it is associated with managing data at a large scale."

More Databricks pros

"This has been one of the most reliable storage systems that I have ever used."

"The solution is useful for machine learning and scientific applications, including computer simulations."

Cons

"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."

"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."

"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."

"The statistics should be more self-explanatory with detailed automated reports."

"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."

"The product should provide more ways to import data and export results that are user-friendly for high-level executives."

"It could provide even more in the way of automation as there are many opportunities."

"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."

More IBM SPSS Statistics cons

"It's not easy to use, and they need a better UI."

"There is room for improvement in the documentation of processes and how it works."

"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."

"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."

"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."

"The biggest problem associated with the product is that it is quite pricey."

"A lot of people are required to manage this solution."

"The integration features could be more interesting, more involved."

More Databricks cons

"The read/write ratio is an area in the solution with some flaws and needs improvement."

"The write performance could be improved because it is less than half of the read performance."

Pricing and Cost Advice

"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."

"More affordable training for new staff members."

"We think that IBM SPSS is expensive for this function."

"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."

"While the pricing of the product may be higher, the accompanying service and features justify the investment."

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"It's quite expensive, but they do a special deal for universities."

More IBM SPSS Statistics pricing and cost advice

"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."

"There are different versions."

"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."

"The basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."

"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."

"I would rate Databricks' pricing seven out of ten."

"The solution requires a subscription."

"The price of Databricks is reasonable compared to other solutions."

More Databricks pricing and cost advice

"Price-wise, VAST Data is not the cheapest, not the most expensive one."

"We acquired VAST Data as a one-time, capital purchase."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

University

Manufacturing Company

Financial Services Firm

16%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Computer Software Company

17%

Manufacturing Company

15%

Financial Services Firm

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about IBM SPSS Statistics?

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Statistics?

The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive produ...

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What needs improvement with IBM SPSS Statistics?

IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the result...

See all answers

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or ...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designe...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analyti...

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What do you like most about VAST Data?

The solution is useful for machine learning and scientific applications, including computer simulations.

See all answers

What is your experience regarding pricing and costs for VAST Data?

Price-wise, VAST Data is not the cheapest, not the most expensive one.

See all answers

What needs improvement with VAST Data?

The read/write ratio is an area in the solution with some flaws and needs improvement.

See all answers

Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 15% of the time

Alteryx vs IBM SPSS Statistics

Compared 13% of the time

TIBCO Statistica vs IBM SPSS Statistics

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 12% of the time

Amazon SageMaker vs IBM SPSS Statistics

Compared 6% of the time

More IBM SPSS Statistics Competitors

Dataiku vs Databricks

Compared 11% of the time

Informatica PowerCenter vs Databricks

Compared 8% of the time

Amazon SageMaker vs Databricks

Compared 8% of the time

Dremio vs Databricks

Compared 8% of the time

Microsoft Power BI vs Databricks

Compared 6% of the time

More Databricks Competitors

Pure Storage FlashBlade vs VAST Data

Compared 13% of the time

NetApp AFF vs VAST Data

Compared 10% of the time

Dell PowerScale (Isilon) vs VAST Data

Compared 10% of the time

Qumulo vs VAST Data

Compared 9% of the time

Pure Storage FlashArray vs VAST Data

Compared 7% of the time

More VAST Data Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

November 2024

Download IBM SPSS Statistics product report

Buyer's Guide

Databricks

November 2024

Download Databricks product report

Buyer's Guide

NVMe All-Flash Storage Arrays

November 2024

Download VAST Data product report

Also Known As

SPSS Statistics

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

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IBM

Databricks

VAST Data

Overview

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Innovation to break decades of data storage trade-offs.

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

Norwest Venture Partners, General Dynamics Information Technology, Ginkgo Bioworks

Buyer's Guide

Data Science Platforms

November 2024

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