Apache Cassandra vs. Google Cloud Spanner

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 Spanner
Score 6.2 out of 10
N/A
Google Cloud Spanner is a cloud database-as-a-service product offered as a service on Google Cloud Platform (GCP).N/A
Pricing
Apache CassandraGoogle Cloud Spanner
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
CassandraGoogle Cloud Spanner
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 Spanner
Top Pros
Top Cons
Features
Apache CassandraGoogle Cloud Spanner
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 Spanner
-
Ratings
Performance8.55 Ratings00 Ratings
Availability8.85 Ratings00 Ratings
Concurrency7.65 Ratings00 Ratings
Security8.05 Ratings00 Ratings
Scalability9.55 Ratings00 Ratings
Data model flexibility6.75 Ratings00 Ratings
Deployment model flexibility7.05 Ratings00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Apache Cassandra
-
Ratings
Google Cloud Spanner
7.8
2 Ratings
11% below category average
Automatic software patching00 Ratings8.82 Ratings
Database scalability00 Ratings8.82 Ratings
Automated backups00 Ratings10.01 Ratings
Database security provisions00 Ratings5.82 Ratings
Monitoring and metrics00 Ratings5.82 Ratings
Automatic host deployment00 Ratings7.62 Ratings
Best Alternatives
Apache CassandraGoogle Cloud Spanner
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache CassandraGoogle Cloud Spanner
Likelihood to Recommend
6.0
(16 ratings)
7.4
(2 ratings)
Likelihood to Renew
8.6
(16 ratings)
-
(0 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 Spanner
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
Google Cloud Spanner is suited for limitless horizontal scaling while maintaining strong consistency which needs to support ACID. NoSQL databases work in scaling but no ACID support. RDBMS support ACID, but horizontal scaling is not as great. The API it provides result in some limitations to related areas of the code, such as connection pools or database linking framework. So high # of connection pools can vary.
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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
  • Super high availability
  • Scales automatically
  • High standard SLA
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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
  • Support for Views
  • Support for more databases (schemas).
  • More index types that can be supported (Functional)
  • Backups (ie table/data backup) if data is deleted or truncate by accident.
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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
No answers on this topic
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
At that point, we were looking at something [that] can hold our relational database, [...] provide stable connection, and maintain high ACID transition. BigTable is for nonrelational database so it was out of our [sight] very quickly. BigQuery is a data warehouse that can hold huge amount of data but not ideal for transition. AWS RDS is [...] similar to Spanner but because most of our services are already on GCP, so we went with Spanner.
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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
  • Backups specifically if transactional data is deleted. Restoring made us lose time.
  • Sharding on Horizontal level was quick and easy. Deployment and increasing nodes is easy
  • Large dataset handling.
  • ACID compliance
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