What users are saying about

Apache Spark vs Fivetran

Apache Spark
127 Ratings
Fivetran
13 Ratings

Apache Spark

127 Ratings
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Score 8.7 out of 100

Based on 127 reviews and ratings

Fivetran

13 Ratings
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Score 8.5 out of 100

Based on 13 reviews and ratings

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.

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Thomas Young | TrustRadius Reviewer
Thomas Young
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Fivetran

[Fivetran is] very well suited when you are using popular and common data sources, such as the major ad platforms, and SaaS platforms such as Salesforce.If the majority of your data sources are custom internal applications or databases, may be less value as you aren't leveraging the delivered connectors.

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Anonymous | TrustRadius Reviewer
Verified User
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Feature Rating Comparison

Data Source Connection

Apache Spark
—
Fivetran
8.0
Connect to traditional data sources
Apache Spark
—
Fivetran
9.0
Connecto to Big Data and NoSQL
Apache Spark
—
Fivetran
7.0

Data Transformations

Apache Spark
—
Fivetran
8.0
Simple transformations
Apache Spark
—
Fivetran
8.0
Complex transformations
Apache Spark
—
Fivetran
8.0

Data Modeling

Apache Spark
—
Fivetran
7.5
Data model creation
Apache Spark
—
Fivetran
8.0
Business rules and workflow
Apache Spark
—
Fivetran
7.0

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

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Nitin Pasumarthy | TrustRadius Reviewer
Nitin Pasumarthy
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Fivetran

  • Quick replication of data with minimal lag.
  • Automated reporting if data is out of date.
  • The customer support team is relatively good.

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Scott Laronge | TrustRadius Reviewer
Scott Laronge
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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

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Anson Abraham | TrustRadius Reviewer
Anson Abraham
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Fivetran

  • Alerting and notification could be enhanced and be more timely in some cases
  • The error messages when there are connector setup issues could be more clear

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Anonymous | TrustRadius Reviewer
Verified User
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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.

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Partha Protim Pegu | TrustRadius Reviewer
Partha Protim Pegu
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Fivetran

Fivetran 9.0
Based on 1 answer
Just need to input connection info.

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Scott Laronge | TrustRadius Reviewer
Scott Laronge
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Performance

Apache Spark

No score
No answers yet
No answers on this topic

Fivetran

Fivetran 8.0
Based on 2 answers
It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.

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Scott Laronge | TrustRadius Reviewer
Scott Laronge
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Support Rating

Apache Spark

Apache Spark 8.3
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.

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Yogesh Mhasde | TrustRadius Reviewer
Yogesh Mhasde
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Fivetran

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.

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Anonymous | TrustRadius Reviewer
Verified User
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Fivetran

Fivetran is more intuitive and easier to use than code-based ETL/ELT tools. The data modelling Fivetran performs makes the data more usable more quickly. Fivetran's dbt support and integration is unique.

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Anonymous | TrustRadius Reviewer
Verified User
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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.

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Carla Borges | TrustRadius Reviewer
Carla Borges
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Fivetran

  • Fivetran has allowed us to dramatically improve our time to insight
  • It allows us to focus on business value as opposed to engineering
  • Reduced the amount of engineering resources we need to make data available

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Anonymous | TrustRadius Reviewer
Verified User
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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
—

Fivetran

General

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

Fivetran Editions & Modules

Edition
Starter$1.001
Standard$1.501
Enterprise$2.001
  1. per credit
Additional Pricing Details
—

Rating Summary

Likelihood to Recommend

Apache Spark
8.6
Fivetran
8.9

Usability

Apache Spark
8.7
Fivetran
9.0

Performance

Apache Spark
—
Fivetran
8.0

Support Rating

Apache Spark
8.3
Fivetran
—

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