What users are saying about
76 Ratings
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Score 7.9 out of 100
18 Ratings
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Score 8 out of 100

Likelihood to Recommend

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

Google Cloud Datastore

I think Google Cloud Datastore has some pros and cons as like anything. To me personally it is very mediocre, but I am required to use it by the organization. I would like to use GCP products less as they are not [mediocre] value for money. In terms of Datastore, I haved face problems while creating and managing data sets and models.
Sandesh Singh | TrustRadius Reviewer

Feature Rating Comparison

NoSQL Databases

Cassandra
8.0
Google Cloud Datastore
7.8
Performance
Cassandra
8.5
Google Cloud Datastore
7.6
Availability
Cassandra
8.7
Google Cloud Datastore
8.7
Concurrency
Cassandra
7.6
Google Cloud Datastore
7.9
Security
Cassandra
8.0
Google Cloud Datastore
8.6
Scalability
Cassandra
9.4
Google Cloud Datastore
8.9
Data model flexibility
Cassandra
6.7
Google Cloud Datastore
7.4
Deployment model flexibility
Cassandra
7.0
Google Cloud Datastore
5.6

Pros

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

Google Cloud Datastore

  • It is hosted in GCP, our primary cloud provider.
  • It integrates with all the services we use in GCP.
Anonymous | TrustRadius Reviewer

Cons

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

Google Cloud Datastore

  • Google's support is not the best; most of the time, you would be scrambling to talk to someone but would end up with long email chains with support.
  • Better querying features are needed.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

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

Google Cloud Datastore

Google Cloud Datastore 9.5
Based on 3 answers
For the amount of use we're getting from Google Cloud Datastore, switching to any other platform would have more cost with little gain. Not having to manage and maintain Google Cloud Datastore for over 4 years has allowed our teams to work on other things. The price is so low that almost any other option for our needs would be far more expensive in time and money.
Anonymous | TrustRadius Reviewer

Usability

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

Google Cloud Datastore

Google Cloud Datastore 6.0
Based on 1 answer
Google Cloud Datastore is a fully managed, schemaless database for storing non-relational data. You should feel at home if you are familiar with relational databases, but there are some key differences to be aware of to make the most of using Datastore.The goal of Google Cloud is to provide an API that is comfortable to Rubyists. Your authentication credentials are detected automatically in Google Cloud Platform (GCP), including Google Compute Engine (GCE), Google Kubernetes Engine (GKE), Google App Engine (GAE), Google Cloud Functions (GCF) and Cloud Run. In other environments you can configure authentication easily, either directly in your code or via environment variables.
Sandesh Singh | TrustRadius Reviewer

Support Rating

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

Google Cloud Datastore

Google Cloud Datastore 8.0
Based on 1 answer
Due to timezone differences, we have had issues contacting Google Support, but [we] were able to get our issues and queries solved by the next business day.
Sandesh Singh | TrustRadius Reviewer

Alternatives Considered

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

Google Cloud Datastore

We selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google Cloud Datastore. And it proves itself.
Anonymous | TrustRadius Reviewer

Return on Investment

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

Google Cloud Datastore

  • You don't need a dedicated DevOps guy to manage your database. Everything happens at the click of a button on the dashboard.
  • Less amount of time spent on configuration and more time on actual development.
Anonymous | TrustRadius Reviewer

Pricing Details

Cassandra

General

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

Google Cloud Datastore

General

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

Rating Summary

Likelihood to Recommend

Cassandra
6.8
Google Cloud Datastore
7.4

Likelihood to Renew

Cassandra
8.6
Google Cloud Datastore
9.5

Usability

Cassandra
7.0
Google Cloud Datastore
6.0

Support Rating

Cassandra
7.0
Google Cloud Datastore
8.0

Implementation Rating

Cassandra
7.0
Google Cloud Datastore

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