Apache Cassandra Reviews
by Apache Software Foundation4.3 / 5 23 reviews
Reviewed on 11/10/2016
Cassandra Use Cases and Deployment Scope
Comments: I had used Cassandra in my academic projects which were related to cloud computing. I used it for a few projects on Salesforce where multi tenancy features are implemented. In such scenarios Cassandra was one the best choices for NoSql. Although we have used RDMS, the performance while using Cassandra was better. I have simulated a few real time running apps like Facebook and Uber where I have used RDMS and Cassandra, and checked the performance using Jmeter. It clearly shows that Cassandra boosts the performance over RDMS. One thing I find difficult in Cassandra is following the documents, which are not so understandable.
Undoubtedly performance is an important reason
We have not encountered a single point of failure
Scalability of Cassandra is good which is the most important for the companies where demand is scaling day by day.
Cassandra has a wide range of asynchronous jobs and background tasks that are not scheduled by the client, the execution can be eccentric.
Because Cassandra is a key-value store, doing things like SUM, MIN, MAX, AVG and other aggregations are incredibly resource intensive if even possible to accomplish.
I think querying options for retrieving data is very limited.
Reviewed on 09/06/2019
Pros: I like it scales very easily when we see increase it traffic
Cons: Cassandra does not support joins so it is difficult to use as complex OLTP system
Reviewed on 14/12/2016
Cassandra : Zenith of Open Source NoSQL
Comments: We have quite complex requirements of tracing Buses/Truck of African cities of Rwanda for real-time reporting of schedule, breakdown, Traffic management of City using Apache Cassandra. Our team chose Cassandra for quite few reason. Open Source, Fault Tolerance, High Availability, Scalability, and Reliability of software components. I am happy that our team has chosen the right software for delivering complex software Solutions for Our Connected Vehicle Platform. We used it for real-time transactions and analytics. PROs: Fault Tolerance, Availability, and Superb Performance. CONs: It's not good for managing your Application processing. Its NoSQL DB requires lot of different understanding and NoSQL comes with its own issue so it shifts from traditional thinking process of RDBMS. Cassandra required very big learning curve which adds to the cost but benefits out weight this learning cost.
Reviewed on 04/05/2018
It has been a pleasant and rewarding experience for the management of data in the cloud and totally
Comments: It was very useful to me when I had to develop an application that needed a relational database and a non relational database that was going to be in the cloud, it was very useful and easy to use, as well as it did not give me problems for its use.
Pros: It has been a pleasant and profitable experience for the handling of data in the cloud and totally free, the handling of the data oriented to column families, tolerant to failures, since it replicates the data automatically to multiple nodes; When a node fails it can be replaced without any period of inactivity. allows replicas to multiple data centers; data storage type column family. The latest version of CQL3 that made the instructions similar to SQL with what breaks with the mental shock at the time of programming. It really does an efficient handling of data in the cloud.
Cons: The fact of having the data stored column by column allows us to return the rows more quickly, but when inserting, updating or deleting a record, it must be done in more than one location; for this reason, this type of database is not recommended for OLTP-type, transaction-oriented and high-concurrency systems.
Reviewed on 28/01/2018
A promising and powerful NoSQL database.
Pros: It is great for the right workload; with heavy writes and eventual consistency, it is a leader in the NoSQL space. I recommend Datastax for support using and supporting it.
Cons: Maintaining a cluster and an ops center server (for backups and monitoring) can get quite pricey. The learning curve of maintaining a cluster is a bit long.
Reviewed on 05/11/2018
lightning fast key store
Comments: we needed to build a scalable object store with high write load (write is the main pattern of usage)
csql syntax is powerful
lightning fast read/writes
smart client to reduce hops to the correct node
easy to install
cluster management complexity
problematic node recovery
Reviewed on 01/07/2018
It was good, until we hit GC
Gabriel m. M.
Comments: We were able to offload tables from our MySQL to NoSQL.
Pros: It was the best NoSQL solution for our organization. decent performance and cross-Datacenter replication.
It's written in JAVA. GC was killing us. at some point we had a server on GC for 30 min every 15 min.
we had to add more and more servers to deal with the situation. DataStax's PHP driver was using the first server available as a 'Contact point' when it was on GC, the second server on the list was hit and sometimes caused to crash; as result - we had a domino effect and an entire cluster would have crashed. (that, btw, was fixed and now Contact point is random). There is a better alternative ***SCYLLADB****
Since we moved to Scylla - we were able to reduce the amount of servers by 75%.
Performance and stability is magnificent. client side hasn't changed - running with the same drivers.
Reviewed on 12/02/2019
Pros: CASSANDRA is easy to use, easy to search objects based on key space values
Cons: Cassandra needs to improve their architecture and also provide more training videos
Reviewed on 27/11/2019
Awesome No SQL DB
Pros: The is awesome tool for No SQL DB requirements. We use this to store transactions so that we can reprocess in case something goes down.
Cons: The Queries are little tough and most of the features of sql queries are not supported.
Reviewed on 15/01/2019
good option from NoSql family database
Comments: Just very good NoSql database in scenarios where you have to deal with large and hig velocity data in real time.
Pros: Cassandra is good choice from NoSql database when you need to store data which is coming at high velocity. As write operation in cassandra is very fast so it make it reliable to use it for real time scenarios where you have to process and modify the data in real time. And as Cassandra is built using Java, so it is easy to integrate this with other Java base tools like Spark, Hadoop etc.
Cons: Only cons for me is that it’s unpredictable performance because cassandra has lots of asynchronous jobs and other background job which are not in control. In such cases, troubleshooting some issue is big problem.
Reviewed on 13/01/2019
Quite good NoSql family Database
Deepak kumar S.
Comments: good and reliable NoSql family database .
Pros: As everything is designed for a specific problem to solve. Cassandra has it's own use cases where it perform very much reliably and efficiently. This is good when you have to capture high velocity traffic and need to do operation over it. Also, it offers other lots of great like very high writing speed, easy integration with other JVM based service/tool like spark, hadoop etc.
Cons: it has a quite bit hard of learning as you will have to setup the cluster for maintenance and all. And Cassandra is specific to use cases you just can't use it for other.
Reviewed on 13/03/2018
Ease of use with highly available , fault tolerant , distributed database
(1) It is highly available , also, replication around nodes is super fast
(2) It is fault tolerant inherently by design
(3) It is a distributed database, suitable for handling huge volumnes
Cons: Row level inconsistency sometimes poses problems with usage in Cassandra. This means when the same row is inserted and updated at the same time, there can be consistency issues with it.
Reviewed on 05/12/2018
High quality NoSQL database more closely related to relational DBs than alternatives
Pros: Compared to MongoDB, another NoSQL database, Cassandra's commands are more closely related to SQL and are consequently more approachable to SQL experts. As a NoSQL database, developers are not weighed down with designing and modifying schemas.
Cons: Compared to MongoDB, Cassandra is less flexible and resembles relational databases more than MongoDB does.
Reviewed on 27/07/2019
Intuitive for SQL user
Pros: The query language cql is quite intuitive specially for sql users. Setup is also very easy since they have extensive documentation. Cassandra also provides very good and easy to use APIs that can be easily integrated in any application.
Cons: It is a column oriented storage format which takes some time to get used specially for sql users.
Reviewed on 04/12/2018
Good for any data project
Comments: If you are starting a data intensive project it is a very good datastore for the computing needs
Pros: It is very easy to get started with Cassandra because of the vast community of developers and resources available. It is flexible for any course project or production application
Cons: Configuring it to work with Tableau on a Macbook Pro is not that easy.
Reviewed on 16/12/2018
Bigdata noSql database
Pros: Apache cassandra is a good noSql database tool that can handle large data set effectively. It is great for distributed database design.
Cons: Learning curve for this tool can be high.
Reviewed on 30/03/2018
It is a powerful database manager noSql
Pros: It is spectacular for web applications that handle a large amount of data, the level of data processing is very fast.
Cons: The learning curve is very strong when you have worked with SQL. The change from SQL to noSQL is somewhat strong.
Reviewed on 24/03/2018
If something seems too good to be true it probably is.
Pros: An easy way to share data across multiple clusters. A proper columnar data store, with some novel quorum modes.
Cons: No matter how it's configured it's impossible to have really durable data. Having fault tolerant synchronous modes is useless if a node can die because it ran out of journal space. This should never happen! If a node can't write it's journal it should freeze, not the loose consistency of its local data ( I'm talking about corruption here not the loss of consistency with the other nodes). Columnar formatting and retrieval are actually really inefficient. Data formats in anything other than simple storage are bloated and inefficient.
Reviewed on 07/02/2019
Pros: Open source distributed and high performance.
Cons: Only can query with the key predefined.
Reviewed on 15/08/2017
We use it on our team to provide cache functionalities with high success.
Comments: Amazing performance and great value.
Pros: The amount of features and bang-for-buck ratio is really great. Perfomance is really good too. The fact that it's a descentralized architecture also means uptime is great.
Cons: It may not be the easiest product to learn about and become proficient, but by no means should it be called inaccessible.
Reviewed on 15/12/2018
Best No-SQL database for faster read
Comments: We were have problem with querying on huge amount of data. So we moved all the aggregated data to cassandra and it returns query with million rows too in milliseconds.
Pros: The read rate for any query is fastest in cassandra compared to any other NO-SQL database.
Cons: Update are too costly ie it takes up too much space in the system.
Reviewed on 28/04/2018
Easy to learn this NO SQL database, and self explanatory of most of the things.
Comments: We are in the need of to use NO SQL database, and we thought Cassandra would be best choice to our needs.
Pros: Easy to install and connect from applications. User friendly to navigate the data with utility comes with it.
Cons: Most of the things are self explanatory, took very less time to use the product and integrate with applications.
Reviewed on 07/02/2018
efficient and powerful nosql database
Pros: if your application or your project process data that can't be lost then cassandra is the right choice for you, your data is replicated into multiple nodes to prevent faults. You can scale your setup easly to accommodate your needs.
Cons: The learning curve is steep so be prepared to get a lot of headache while learning. It's painful but not impossible.