What users are saying about
85 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.2 out of 100
Based on 85 reviews and ratings
30 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.7 out of 100
Based on 30 reviews and ratings
Feature Set Ratings
- Google Cloud Datastore ranks higher in 1 feature set: NoSQL Databases
NoSQL Databases

8.0
Cassandra
80%
9.6
Google Cloud Datastore
96%
Google Cloud Datastore ranks higher in 7/7 features
Google Cloud Datastore ranks higher in 7/7 features
Performance

8.5
85%
5 Ratings
10.0
100%
3 Ratings
Availability

8.8
88%
5 Ratings
10.0
100%
3 Ratings
Concurrency

7.6
76%
5 Ratings
10.0
100%
3 Ratings
Security

8.0
80%
5 Ratings
9.0
90%
3 Ratings
Scalability

9.5
95%
5 Ratings
10.0
100%
3 Ratings
Data model flexibility

6.7
67%
5 Ratings
9.0
90%
3 Ratings
Deployment model flexibility

7.0
70%
5 Ratings
9.0
90%
3 Ratings
Attribute Ratings
- Google Cloud Datastore is rated higher in 4 areas: Likelihood to Recommend, Likelihood to Renew, Usability, Support Rating
Likelihood to Recommend

6.0
Cassandra
60%
16 Ratings
10.0
Google Cloud Datastore
100%
3 Ratings
Likelihood to Renew

8.6
Cassandra
86%
16 Ratings
10.0
Google Cloud Datastore
100%
2 Ratings
Usability

7.0
Cassandra
70%
1 Rating
10.0
Google Cloud Datastore
100%
1 Rating
Support Rating

7.0
Cassandra
70%
2 Ratings
10.0
Google Cloud Datastore
100%
1 Rating
Implementation Rating

7.0
Cassandra
70%
2 Ratings
Google Cloud Datastore
N/A
0 Ratings
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.
Staff Software Engineer
IntuitComputer Software, 5001-10,000 employees
Google Cloud Datastore
When you want to develop a system that doesn't have consistent data or maybe a zig-zag data structure, that time Google Cloud Datastore really helps to fit in your system environment. It provides lots of good functionality so you can quickly start your development. Whenever you want to perform certain operations like order by, it automatically suggests you create an index, so all solutions at one place. Also based on your database location, it helps to faster retrieval of data. And if you want to strictly follow SQL queries only, Primary key, Foreign key old concepts, then you are at the wrong place.
Senior Software Engineer
Impero IT Services Pvt. Ltd.Information Technology & Services, 11-50 employees
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.
Chief Technology Officer
Algorithmic AdsMarketing and Advertising, 1-10 employees
Google Cloud Datastore
- It is hosted in GCP, our primary cloud provider.
- It integrates with all the services we use in GCP.

Verified User
Engineer in Information Technology
Insurance Company, 10,001+ employeesCons
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.

Verified User
Engineer in Research & Development
Higher Education Company, 5001-10,000 employeesGoogle Cloud Datastore
- Part of the Google Cloud Platform walled garden.
- Pay for read/writes to the datastore, in addition to storage.
- Not many libraries exist.

Verified User
Engineer in Engineering
Internet Company, 51-200 employeesPricing Details
Cassandra
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
—Google Cloud Datastore
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
—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.

Verified User
Team Lead in Engineering
Financial Services Company, 10,001+ employeesGoogle Cloud Datastore
Google Cloud Datastore 10.0
Based on 2 answers
I give Google Cloud a full score because it satisfies our needs so well. We host most of our infrastructure on Google Cloud and using Google Cloud Datastore helps us to solve our NoSQL storage problem. and Google Cloud Datastore is so scalable and elastic. It saves us lots of time to maintain and saves us money.

Verified User
Engineer in Information Technology
Insurance Company, 10,001+ employeesUsability
Cassandra
Cassandra 7.0
Based on 1 answer
It’s great tool but it can be complicated when it comes administration and maintenance.
Senior Software Engineer
USAAFinancial Services, 10,001+ employees
Google Cloud Datastore
Google Cloud Datastore 10.0
Based on 1 answer
Google Cloud Datastore really provides good services and features, it provides Firestore Native mode and Firestore Datastore mode, based on your requirements, like Mobile and web apps or server architectures respectively. - It provides high availability - Dynamic scalability - Provides VPC controls - You can also execute SQL query on Google Cloud Datastore platform - You can easily remove entities permanently from your database, no need to manage garbage collectors.
Senior Software Engineer
Impero IT Services Pvt. Ltd.Information Technology & Services, 11-50 employees
Support Rating
Cassandra
Cassandra 7.0
Based on 2 answers
Sometimes instead giving straight answer, we ‘re getting transfered to talk professional service.
Senior Software Engineer
USAAFinancial Services, 10,001+ employees
Google Cloud Datastore
Google Cloud Datastore 10.0
Based on 1 answer
Google Cloud Datastore provides support in different subjects, like plans and pricing, community support, and documentation especially. It provides basic support for free, in case you want premium support. It provides one-to-one accessibility. In free trial support, you can connect chat with the support team to get resolve your queries and problem you are facing when you are new to work.
Senior Software Engineer
Impero IT Services Pvt. Ltd.Information Technology & Services, 11-50 employees
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
IT Strategic Technical Advisor
FedEx ExpressPackage/Freight Delivery, 10,001+ employees
Google Cloud Datastore
If deploying an application in Google Cloud Platform, using Google Cloud Datastore is a no brainer because of the simplicity of setup. Other options would require more setup and configuration, and do not come with the same level of guaranteed uptime as Google Cloud Datastore. In our case, we've been using Google Cloud Datastore for 4 years without any issues and have never had to think about it.

Verified User
Engineer in Engineering
Internet Company, 51-200 employeesReturn 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.

Verified User
Engineer in Engineering
Computer Software Company, 51-200 employeesGoogle Cloud Datastore
- It solves our NoSQL database problem.
- It it highly scalable and available to meets our needs.

Verified User
Engineer in Information Technology
Insurance Company, 10,001+ employees