Likelihood to Recommend 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.
Read full review I would start with the scenarios which are well-suited. I can see Antra DB excels at the scalability and global distribution part as with the company's continuously growing size, we need our data to be growing at the same speed, which ASTRA DB largely supports, and if we talk about the less appropriate scenario, I would say when we need to incorporate external tools for the better monitor, it sorts of fails purpose.
Read full review Pros 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. Read full review It's very resilient and scalable, no downtime and no issues scaling up to meet our needs. Low latency reads and writes Cost effective - The on demand model worked out cheaper than running our own clusters Great support for any of our questions or issues Read full review Cons 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. Read full review Need better fine-grained Security options. The support team sometimes requires the escalate button pressed on tickets, to get timely responses. I will say, once the ticket is escalated, action is taken. They require better documentation on the migration of data. The three primary methods for migrating large data volumes are bulk, Cassandra Data Migrator, and ZDM (Zero Downtime Migration Utility). Over time I have become very familiar will all three of these methods; however, through working with the Services team and the support team, it seemed like we were breaking new ground. I feel if the utilities were better documented and included some examples and/or use cases from large data migrations; this process would have been easier. One lesson learned is you likely need to migrate your application servers to the same cloud provider you host Astra on; otherwise, the latency is too large for latency-sensitive applications. Read full review Likelihood to Renew 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.
Read full review Usability It’s great tool but it can be complicated when it comes administration and maintenance.
Read full review It's a great product but suffers with counters. This isn't a deal breaker but lets down what is otherwise a good all round solution
Read full review Support Rating Sometimes instead giving straight answer, we ‘re getting transfered to talk professional service.
Read full review Their response time is fast, in case you do not contact them during business hours, they give a very good follow-up to your case. They also facilitate video calls if necessary for debugging.
Read full review Alternatives Considered 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
Read full review Graph, search, analytics, administration, developer tooling, and monitoring are all incorporated into a single platform by Astra DB. Mongo Db is a self-managed infrastructure. Astra DB has Wide column store and Mongo DB has Document store. The best thing is that Astra DB operates on Java while Mongo DB operates on C++
Read full review Scalability We are well aware of the Cassandra architecture and familiar with the open source tooling that Datastax provides the industry (K8sSandra / Stargate) to scale Cassandra on Kubernetes.
Having prior knowledge of Cassandra / Kubernetes means we know that under the hood Astra is built on infinitely scalable technologies. We trust that the foundations that Astra is built on will scale so we know Astra will scale.
Read full review Return on Investment 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. Read full review The high availability capabilities of Astra DB can assist in reducing downtime, which is crucial for revenue-generating applications. The developer-friendly features of Astra DB, as well as support for known query languages, can help expedite development, save development time, and minimize labor costs. This can result in a shorter time to market and a higher ROI. Read full review ScreenShots