Cassandra vs Google Cloud Datastore | TrustRadius

What users are saying about

Score 7.9 out of 10

Based on 76 reviews and ratings

Score 8 out of 10

Based on 18 reviews and ratings

Feature Rating Comparison

Cassandra

Google Cloud Datastore

Performance

Availability

Concurrency

Security

Scalability

Data model flexibility

Deployment model flexibility

Pros

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.

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Chief Technology Officer

Algorithmic AdsMarketing and Advertising, 1-10 employees

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It is hosted in GCP, our primary cloud provider.
It integrates with all the services we use in GCP.

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Verified User

Engineer in Information Technology

Insurance Company, 10,001+ employees

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Cons

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.

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Verified User

Engineer in Research & Development

Higher Education Company, 5001-10,000 employees

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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.

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Verified User

Engineer in Information Technology

Financial Services Company, 1-10 employees

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Likelihood to Renew

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.

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Verified User

Team Lead in Engineering

Financial Services Company, 10,001+ employees

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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.

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Verified User

Engineer in Engineering

Internet Company, 51-200 employees

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Usability

Cassandra 7.0

Based on 1 answer

It’s great tool but it can be complicated when it comes administration and maintenance.

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Senior Software Engineer

USAAFinancial Services, 10,001+ employees

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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.

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FrontEnd Development Engineer

Genius Systems Pvt. LtdInternet, 201-500 employees

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Support Rating

Cassandra 7.0

Based on 2 answers

Sometimes instead giving straight answer, we ‘re getting transfered to talk professional service.

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Senior Software Engineer

USAAFinancial Services, 10,001+ employees

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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.

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FrontEnd Development Engineer

Genius Systems Pvt. LtdInternet, 201-500 employees

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Alternatives Considered

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

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IT Strategic Technical Advisor

FedEx ExpressPackage/Freight Delivery, 10,001+ employees

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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.

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Verified User

Engineer in Information Technology

Insurance Company, 10,001+ employees

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Return on Investment

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.

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Verified User

Engineer in Engineering

Computer Software Company, 51-200 employees

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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.

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Verified User

Engineer in Information Technology

Financial Services Company, 1-10 employees

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Pricing Details

General

Free Trial

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Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Rating Summary

Cassandra

Google Cloud Datastore

Cassandra

Google Cloud Datastore

Cassandra

Google Cloud Datastore

Cassandra

Google Cloud Datastore

Cassandra

Google Cloud Datastore

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