What users are saying about

Cassandra vs Google Cloud Datastore

Cassandra
85 Ratings
Google Cloud Datastore
30 Ratings

Cassandra

85 Ratings
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Score 8.2 out of 100

Based on 85 reviews and ratings

Google Cloud Datastore

30 Ratings
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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.

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Rekha Joshi | TrustRadius Reviewer
Rekha Joshi
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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.

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Ravi Khunt | TrustRadius Reviewer
Ravi Khunt
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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.

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David Prinzing | TrustRadius Reviewer
David Prinzing
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Google Cloud Datastore

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

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Anonymous | TrustRadius Reviewer
Verified User
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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.

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Anonymous | TrustRadius Reviewer
Verified User
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Google 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.

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Anonymous | TrustRadius Reviewer
Verified User
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Pricing 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.

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Anonymous | TrustRadius Reviewer
Verified User
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Google 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.

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Anonymous | TrustRadius Reviewer
Verified User
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Usability

Cassandra

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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Glen Kim | TrustRadius Reviewer
Glen Kim
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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.

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Ravi Khunt | TrustRadius Reviewer
Ravi Khunt
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Support Rating

Cassandra

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

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Glen Kim | TrustRadius Reviewer
Glen Kim
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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.

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Ravi Khunt | TrustRadius Reviewer
Ravi Khunt
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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

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yixiang Shan | TrustRadius Reviewer
yixiang Shan
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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.

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Anonymous | TrustRadius Reviewer
Verified User
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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.

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Anonymous | TrustRadius Reviewer
Verified User
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Google Cloud Datastore

  • It solves our NoSQL database problem.
  • It it highly scalable and available to meets our needs.

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Anonymous | TrustRadius Reviewer
Verified User
View all 3 answers on this topic

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