What users are saying about
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57 Ratings
84 Ratings

Amazon EMR

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57 Ratings
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Score 8.5 out of 100
84 Ratings
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Score 8.1 out of 100

Feature Set Ratings

    NoSQL Databases

    Amazon EMR

    Feature Set Not Supported
    N/A
    8.0

    Cassandra

    80%
    Apache Cassandra ranks higher in 7/7 features

    Performance

    N/A
    0 Ratings
    8.5
    85%
    5 Ratings

    Availability

    N/A
    0 Ratings
    8.8
    88%
    5 Ratings

    Concurrency

    N/A
    0 Ratings
    7.6
    76%
    5 Ratings

    Security

    N/A
    0 Ratings
    8.0
    80%
    5 Ratings

    Scalability

    N/A
    0 Ratings
    9.5
    95%
    5 Ratings

    Data model flexibility

    N/A
    0 Ratings
    6.7
    67%
    5 Ratings

    Deployment model flexibility

    N/A
    0 Ratings
    7.0
    70%
    5 Ratings

    Attribute Ratings

    • Amazon EMR (Elastic MapReduce) is rated higher in 3 areas: Likelihood to Recommend, Usability, Support Rating

    Likelihood to Recommend

    8.4

    Amazon EMR

    84%
    20 Ratings
    6.0

    Cassandra

    60%
    16 Ratings

    Likelihood to Renew

    Amazon EMR

    N/A
    0 Ratings
    8.6

    Cassandra

    86%
    16 Ratings

    Usability

    8.3

    Amazon EMR

    83%
    3 Ratings
    7.0

    Cassandra

    70%
    1 Rating

    Support Rating

    9.0

    Amazon EMR

    90%
    3 Ratings
    7.0

    Cassandra

    70%
    2 Ratings

    Implementation Rating

    Amazon EMR

    N/A
    0 Ratings
    7.0

    Cassandra

    70%
    2 Ratings

    Likelihood to Recommend

    Amazon EMR

    We are running it to perform preparation which takes a few hours on EC2 to be running on a spark-based EMR cluster to total the preparation inside minutes rather than a few hours. Ease of utilization and capacity to select from either Hadoop or spark. Processing time diminishes from 5-8 hours to 25-30 minutes compared with the Ec2 occurrence and more in a few cases.
    José David Rodríguez Gómez | TrustRadius Reviewer

    Cassandra

    Apache Cassandra is a NoSQL database and well suited where you need highly available, linearly scalable, tunable consistency and high performance across varying workloads. It has worked well for our use cases, and I shared my experiences to use it effectively at the last Cassandra summit! http://bit.ly/1Ok56TKIt is a NoSQL database, finally you can tune it to be strongly consistent and successfully use it as such. However those are not usual patterns, as you negotiate on latency. It works well if you require that. If your use case needs strongly consistent environments with semantics of a relational database or if the use case needs a data warehouse, or if you need NoSQL with ACID transactions, Apache Cassandra may not be the optimum choice.
    Rekha Joshi | TrustRadius Reviewer

    Pros

    Amazon EMR

    • Amazon Elastic MapReduce works well for managing analyses that use multiple tools, such as Hadoop and Spark. If it were not for the fact that we use multiple tools, there would be less need for MapReduce.
    • MapReduce is always on. I've never had a problem getting data analyses to run on the system. It's simple to set up data mining projects.
    • Amazon Elastic MapReduce has no problems dealing with very large data sets. It processes them just fine. With that said, the outputs don't come instantaneously. It takes time.
    Thomas Young | TrustRadius Reviewer

    Cassandra

    • Continuous availability: as a fully distributed database (no master nodes), we can update nodes with rolling restarts and accommodate minor outages without impacting our customer services.
    • Linear scalability: for every unit of compute that you add, you get an equivalent unit of capacity. The same application can scale from a single developer's laptop to a web-scale service with billions of rows in a table.
    • Amazing performance: if you design your data model correctly, bearing in mind the queries you need to answer, you can get answers in milliseconds.
    • Time-series data: Cassandra excels at recording, processing, and retrieving time-series data. It's a simple matter to version everything and simply record what happens, rather than going back and editing things. Then, you can compute things from the recorded history.
    David Prinzing | TrustRadius Reviewer

    Cons

    Amazon EMR

    • Sometimes bootstrapping certain tools comes with debugging costs. The tools provided by some of the enterprise editions are great compared to EMR.
    • Like some of the enterprise editions EMR does not provide on premises options.
    • No UI client for saving the workbooks or code snippets. Everything has to go through submitting process. Not really convenient for tracking the job as well.
    Anonymous | TrustRadius Reviewer

    Cassandra

    • Cassandra runs on the JVM and therefor may require a lot of GC tuning for read/write intensive applications.
    • Requires manual periodic maintenance - for example it is recommended to run a cleanup on a regular basis.
    • There are a lot of knobs and buttons to configure the system. For many cases the default configuration will be sufficient, but if its not - you will need significant ramp up on the inner workings of Cassandra in order to effectively tune it.
    Anonymous | TrustRadius Reviewer

    Pricing Details

    Amazon EMR

    General

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

    Starting Price

    Cassandra

    General

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

    Starting Price

    Likelihood to Renew

    Amazon EMR

    No score
    No answers yet
    No answers on this topic

    Cassandra

    Cassandra 8.6
    Based on 16 answers
    I would recommend Cassandra DB to those who know their use case very well, as well as know how they are going to store and retrieve data. If you need a guarantee in data storage and retrieval, and a DB that can be linearly grown by adding nodes across availability zones and regions, then this is the database you should choose.
    Anonymous | TrustRadius Reviewer

    Usability

    Amazon EMR

    Amazon EMR 8.3
    Based on 3 answers
    I give Amazon EMR this rating because while it is great at simplifying running big data frameworks, providing the Amazon EMR highlights, product details, and pricing information, and analyzing vast amounts of data, it can be run slow, freeze and glitch sometimes. So overall Amazon EMR is pretty good to use other than some basic issues.
    Anonymous | TrustRadius Reviewer

    Cassandra

    Cassandra 7.0
    Based on 1 answer
    It’s great tool but it can be complicated when it comes administration and maintenance.
    Glen Kim | TrustRadius Reviewer

    Support Rating

    Amazon EMR

    Amazon EMR 9.0
    Based on 3 answers
    There's a vast group of trained and certified (by AWS) professionals ready to work for anyone that needs to implement, configure or fix EMR. There's also a great amount of documentation that is accessible to anyone who's trying to learn this. And there's also always the help of AWS itself. They have people ready to help you analyze your needs and then make a recommendation.
    Nicolas Costa Ossa | TrustRadius Reviewer

    Cassandra

    Cassandra 7.0
    Based on 2 answers
    Sometimes instead giving straight answer, we ‘re getting transfered to talk professional service.
    Glen Kim | TrustRadius Reviewer

    Alternatives Considered

    Amazon EMR

    Snowflake is a lot easier to get started with than the other options. Snowflake's data lake building capabilities are far more powerful. Although Amazon EMR isn't our first pick, we've had an excellent experience with EC2 and S3. Because of our current API interfaces, it made more sense for us to continue with Hadoop rather than explore other options.
    Anonymous | TrustRadius Reviewer

    Cassandra

    We evaluated MongoDB also, but don't like the single point failure possibility. The HBase coupled us too tightly to the Hadoop world while we prefer more technical flexibility. Also HBase is designed for "cold"/old historical data lake use cases and is not typically used for web and mobile applications due to its performance concern. Cassandra, by contrast, offers the availability and performance necessary for developing highly available applications. Furthermore, the Hadoop technology stack is typically deployed in a single location, while in the big international enterprise context, we demand the feasibility for deployment across countries and continents, hence finally we are favor of Cassandra
    yixiang Shan | TrustRadius Reviewer

    Return on Investment

    Amazon EMR

    • Positive: Helped process the jobs amazingly fast.
    • Positive: Did not have to spend much time to learn the system, therefore, saving valuable research time.
    • Negative: Not flexible for some scenarios, like when some plugins are required, or when the project has to be moved in-house.
    Anonymous | TrustRadius Reviewer

    Cassandra

    • I have no experience with this but from the blogs and news what I believe is that in businesses where there is high demand for scalability, Cassandra is a good choice to go for.
    • Since it works on CQL, it is quite familiar with SQL in understanding therefore it does not prevent a new employee to start in learning and having the Cassandra experience at an industrial level.
    Anonymous | TrustRadius Reviewer

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