Apache Cassandra vs. Google Cloud Datastore

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cassandra
Score 7.7 out of 10
N/A
Cassandra is a no-SQL database from Apache.N/A
Google Cloud Datastore
Score 8.3 out of 10
N/A
Google Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. The database is managed; Google manages sharding and replication and prices according to storage and activity.N/A
Pricing
Apache CassandraGoogle Cloud Datastore
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
CassandraGoogle Cloud Datastore
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache CassandraGoogle Cloud Datastore
Considered Both Products
Cassandra

No answer on this topic

Google Cloud Datastore
Chose 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. …
Top Pros
Top Cons
Features
Apache CassandraGoogle Cloud Datastore
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Apache Cassandra
8.0
5 Ratings
9% below category average
Google Cloud Datastore
10.0
2 Ratings
13% above category average
Performance8.55 Ratings10.02 Ratings
Availability8.85 Ratings10.02 Ratings
Concurrency7.65 Ratings10.02 Ratings
Security8.05 Ratings10.02 Ratings
Scalability9.55 Ratings10.02 Ratings
Data model flexibility6.75 Ratings10.02 Ratings
Deployment model flexibility7.05 Ratings9.92 Ratings
Best Alternatives
Apache CassandraGoogle Cloud Datastore
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache CassandraGoogle Cloud Datastore
Likelihood to Recommend
6.0
(16 ratings)
9.9
(2 ratings)
Likelihood to Renew
8.6
(16 ratings)
10.0
(2 ratings)
Usability
7.0
(1 ratings)
-
(0 ratings)
Support Rating
7.0
(1 ratings)
-
(0 ratings)
Implementation Rating
7.0
(1 ratings)
-
(0 ratings)
User Testimonials
Apache CassandraGoogle Cloud Datastore
Likelihood to Recommend
Apache
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/1Ok56TK It 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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Google
If you want a serverless NoSQL database, no matter it is for personal use, or for company use, Google Cloud Datastore should be on top of your list, especially if you are using Google Cloud as your primary cloud platform. It integrates with all services in the Google Cloud platform.
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Pros
Apache
  • 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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Google
  • Automatically handles shards and replication.
  • Schema-less & NoSQL.
  • Fully managed.
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Cons
Apache
  • 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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Google
  • It is hosted on GCP, which makes it harder if your company have multi-cloud strategy.
  • When you want to migrate to other cloud providers, there can be a caveat.
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Likelihood to Renew
Apache
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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Google
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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Usability
Apache
It’s great tool but it can be complicated when it comes administration and maintenance.
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Google
No answers on this topic
Support Rating
Apache
Sometimes instead giving straight answer, we ‘re getting transfered to talk professional service.
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Google
No answers on this topic
Alternatives Considered
Apache
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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Google
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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Return on Investment
Apache
  • 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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Google
  • Simple billing part of Google Cloud Platform
  • No time spent configuring and maintaining Google Cloud Datastore.
  • Very good uptime for our applications.
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