What users are saying about
127 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 8.7 out of 100
20 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 6 out of 100

Likelihood to Recommend

Apache Spark

The software appears to run more efficiently than other big data tools, such as Hadoop. Given that, Apache Spark is well-suited for querying and trying to make sense of very, very large data sets. The software offers many advanced machine learning and econometrics tools, although these tools are used only partially because very large data sets require too much time when the data sets get too large. The software is not well-suited for projects that are not big data in size. The graphics and analytical output are subpar compared to other tools.
Thomas Young | TrustRadius Reviewer

Devart Excel Add-ins

One of the biggest benefits of Excel is its primary function: The ability to organize large amounts of data into orderly, logical spreadsheets and charts. With the data organized, it's a lot easier to analyze and digest, especially when used to create graphs and other visual data representations. Excel crunches numbers almost instantly, making batch calculations much easier than working things out yourself with a calculator. Depending on your understanding and skill with Excel, the formulas and equations are used to quickly compute both simple and complex equations using large amounts of data.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Cloud Data Integration

Apache Spark
Devart Excel Add-ins
7.8
Pre-built connectors
Apache Spark
Devart Excel Add-ins
7.0
Connector modification
Apache Spark
Devart Excel Add-ins
7.0
Support for real-time and batch integration
Apache Spark
Devart Excel Add-ins
8.0
Data quality services
Apache Spark
Devart Excel Add-ins
8.0
Data security features
Apache Spark
Devart Excel Add-ins
8.0
Monitoring console
Apache Spark
Devart Excel Add-ins
9.0

Pros

Apache Spark

  • Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
  • Faster in execution times compare to Hadoop and PIG Latin
  • Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
  • Interoperability between SQL and Scala / Python style of munging data
Nitin Pasumarthy | TrustRadius Reviewer

Devart Excel Add-ins

  • Devart Excel Add-in supports connectivity with various databases - which really helps to customize and massage data.
  • Since data is available in cloud, it is easily accessible everywhere.
  • It can also be integrated with SSIS components making it possible to resolve complex problems.
Anonymous | TrustRadius Reviewer

Cons

Apache Spark

  • Memory management. Very weak on that.
  • PySpark not as robust as scala with spark.
  • spark master HA is needed. Not as HA as it should be.
  • Locality should not be a necessity, but does help improvement. But would prefer no locality
Anson Abraham | TrustRadius Reviewer

Devart Excel Add-ins

  • It has room for improvement in terms of security and making it possible for large organizations like us to use it in a more secure way with integrating with our in-house security systems.
  • Pricing could be reduced further for it to be adopted world-wide.
  • it isn't foolproof. Excel has no means of checking for human error during data entry, which means that the wrong information can skew all the results - sometimes severe.
  • Users unfamiliar with Excel syntax may also find entering calculations and calling up other functions a bit frustrating until they get a solid understanding.
Anonymous | TrustRadius Reviewer

Usability

Apache Spark

Apache Spark 8.7
Based on 3 answers
Apache integrates with multiple big data frameworks. It does not exert too much load on the disks. Moreover, it is easy to program and use. It reduces the headache of using different applications separately through its high-level APIs. Big data processing has never been as easy as it is with Apache Spark.
Partha Protim Pegu | TrustRadius Reviewer

Devart Excel Add-ins

No score
No answers yet
No answers on this topic

Support Rating

Apache Spark

Apache Spark 8.2
Based on 6 answers
1. It integrates very well with scala or python.2. It's very easy to understand SQL interoperability.3. Apache is way faster than the other competitive technologies.4. The support from the Apache community is very huge for Spark.5. Execution times are faster as compared to others.6. There are a large number of forums available for Apache Spark.7. The code availability for Apache Spark is simpler and easy to gain access to.8. Many organizations use Apache Spark, so many solutions are available for existing applications.
Yogesh Mhasde | TrustRadius Reviewer

Devart Excel Add-ins

No score
No answers yet
No answers on this topic

Alternatives Considered

Apache Spark

Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
Anonymous | TrustRadius Reviewer

Devart Excel Add-ins

Devart Excel stacks up very well against its alternatives. It has significant advantages as it keeps getting an update. Features are very much suitable for smaller organizations. For larger organizations the features cannot be used directly because of the size of the company and more native requirements of IT software requirements.
Anonymous | TrustRadius Reviewer

Return on Investment

Apache Spark

  • It has had a very positive impact, as it helps reduce the data processing time and thus helps us achieve our goals much faster.
  • Being easy to use, it allows us to adapt to the tool much faster than with others, which in turn allows us to access various data sources such as Hadoop, Apache Mesos, Kubernetes, independently or in the cloud. This makes it very useful.
  • It was very easy for me to use Apache Spark and learn it since I come from a background of Java and SQL, and it shares those basic principles and uses a very similar logic.
Carla Borges | TrustRadius Reviewer

Devart Excel Add-ins

  • It had a positive ROI as we used it on its strengths. We could save time and make some of our processes simpler.
  • It does help us up to a certain limit - but it acts as a part of our general IT infrastructure. It cannot solve our direct business objectives.
  • It cannot be expanded in all directions as we need a lot more native coding and IT infrastructure.
Anonymous | TrustRadius Reviewer

Screenshots

Apache Spark

Pricing Details

Apache Spark

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Apache Spark Editions & Modules

Additional Pricing Details

Devart Excel Add-ins

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Devart Excel Add-ins Editions & Modules

Edition
Standard Edition99.95
    Additional Pricing Details

    Rating Summary

    Likelihood to Recommend

    Apache Spark
    8.6
    Devart Excel Add-ins
    8.0

    Usability

    Apache Spark
    8.7
    Devart Excel Add-ins

    Support Rating

    Apache Spark
    8.2
    Devart Excel Add-ins

    Add comparison