What users are saying about
127 Ratings
Top Rated
194 Ratings
127 Ratings
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Score 8.7 out of 100
Top Rated
194 Ratings
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Score 8.8 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

Redis

Perfect solution for caching needs. If you have a bottleneck due to frequent data access to your database, then Redis can really help you by diverting those traffic away from your database. Its key/value pair structure also makes data lookup very efficient, providing excellent performance.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

NoSQL Databases

Apache Spark
Redis
8.9
Performance
Apache Spark
Redis
9.6
Availability
Apache Spark
Redis
8.9
Concurrency
Apache Spark
Redis
8.7
Security
Apache Spark
Redis
7.7
Scalability
Apache Spark
Redis
8.6
Data model flexibility
Apache Spark
Redis
9.3
Deployment model flexibility
Apache Spark
Redis
9.3

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

Redis

  • Easy for developers to understand. Unlike Riak, which I've used in the past, it's fast without having to worry about eventual consistency.
  • Reliable. With a proper multi-node configuration, it can handle failover instantly.
  • Configurable. We primarily still use Memcache for caching but one of the teams uses Redis for both long-term storage and temporary expiry keys without taking on another external dependency.
  • Fast. We process tens of thousands of RPS and it doesn't skip a beat.
David Sommers | 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

Redis

  • We had some difficulty scaling Redis without it becoming prohibitively expensive.
  • Redis has very simple search capabilities, which means its not suitable for all use cases.
  • Redis doesn't have good native support for storing data in object form and many libraries built over it return data as a string, meaning you need build your own serialization layer over it.
Eric Mason | TrustRadius Reviewer

Likelihood to Renew

Apache Spark

No score
No answers yet
No answers on this topic

Redis

Redis 9.3
Based on 13 answers
We will definitely continue using Redis because:1. It is free and open source.2. We already use it in so many applications, it will be hard for us to let go.3. There isn't another competitive product that we know of that gives a better performance.4. We never had any major issues with Redis, so no point turning our backs.
Rahul Chaudhary | 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

Redis

Redis 9.5
Based on 5 answers
Redis has been around for very long and it is good at what it does. It proved to be very valuable in my use case for interfacing between two applications with very little code as it has drivers for almost every language out there and the community support is really good.
Anonymous | TrustRadius Reviewer

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

Redis

Redis 9.1
Based on 4 answers
The support team has always been excellent in handling our mostly questions, rarely problems. They are responsive, find the solution and get us moving forward again. I have never had to escalate a case with them. They have always solved our problems in a very timely manner. I highly commend the support team.
Gene Baker | TrustRadius Reviewer

Implementation Rating

Apache Spark

No score
No answers yet
No answers on this topic

Redis

Redis 7.3
Based on 1 answer
Whitelisting of the AWS lambda functions.
Anonymous | TrustRadius Reviewer

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

Redis

We are big users of MySQL and PostgreSQL. We were looking at replacing our aging web page caching technology and found that we could do it in SQL, but there was a NoSQL movement happening at the time. We dabbled a bit in the NoSQL scene just to get an idea of what it was about and whether it was for us. We tried a bunch, but I can only seem to remember Mongo and Couch. Mongo had big issues early on that drove us to Redis and we couldn't quite figure out how to deploy couch.
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

Redis

  • Redis has helped us increase our throughput and server data to a growing amount of traffic while keeping our app fast. We couldn't have grown without the ability to easily cache data that Redis provides.
  • Redis has helped us decrease the load on our database. By being able to scale up and cache important data, we reduce the load on our database reducing costs and infra issues.
  • Running a Redis node on something like AWS can be costly, but it is often a requirement for scaling a company. If you need data quickly and your business is already a positive ROI, Redis is worth the investment.
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

Redis

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Optional

Redis Editions & Modules

Edition
Cloud$388.001
  1. Per Month
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Apache Spark
8.6
Redis
9.4

Likelihood to Renew

Apache Spark
Redis
9.3

Usability

Apache Spark
8.7
Redis
9.5

Support Rating

Apache Spark
8.2
Redis
9.1

Implementation Rating

Apache Spark
Redis
7.3

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