Cassandra Consulting, Development and Support
Since 2013, ScienceSoft designs, develops, supports and evolves big data solutions that leverage Cassandra’s fast performance, petabyte-level scalability, and excellent data durability.
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Apache Cassandra consulting and development services help companies benefit from highly effective big data solutions based on Cassandra technology to address their various big data needs.
What We Can Do for You
To better understand what exactly our Cassandra capabilities are, check the list of our cooperation models.
Cassandra consulting services
Our consultants will help you:
- Realize all Cassandra’s capabilities with regard to your big data project.
- Identify all possible risks and pitfalls of using Cassandra and solve or, where possible, prevent problems connected with them.
- Choose additional technologies for your solution to help reveal Cassandra’s potential to the fullest.
- Design security requirements.
- Define a data transformation process.
- Calculate the required number of data centers and nodes.
- Define the strategy for data replication, compaction and compression.
Cassandra fine-tuning
To fine-tune your Cassandra and make it easily meet your requirements and expectations, our consultants will inspect your solution to find bottlenecks and remove them. Or, if it’s not possible for some technical reason, our specialists will increase their throughput capacity to maximum. For the purpose of a successful Cassandra performance tuning, we can:
- Adjust the data model to work better with your queries.
- Reconsider your compression and compaction strategies.
- Optimize your CQL-queries.
- Tune bloom filters’ settings and so on.
End-to-end development of big data solutions based on Cassandra
ScienceSoft confidently handles end-to-end delivery of organization-wide big data platforms and dedicated big data solutions based on Cassandra. Our team is ready to plan, design, develop, deploy, support and evolve your solution. With Cassandra at its core, we can supplement it with other popular big data technologies, e.g., Apache Spark, Kafka, Hadoop.
Cassandra data modeling
To safeguard Cassandra’s high working speeds, our consultants will turn to best practices in Cassandra’s data modeling. They will design your model from scratch, keeping the number of data reads at minimum and spreading data evenly across the cluster. Alternatively, our specialists can make adjustments and improvements to the data model of an already existing solution.
Cassandra troubleshooting
You may encounter overdue or even non-completed tasks because of Cassandra’s performance fluctuations, occasional errors and the like. Or you may be unhappy with your high computing power costs and network overload. Regardless of these problems’ nature, our Cassandra consultants will target problematic areas and find solutions to the underlying issues.
What Use Cases Cassandra Can Fit
At ScienceSoft, we made Cassandra our choice for the following projects:
Sensor data
Cassandra is a good fit for storing sensor data, which makes it cover a lot of industry-related ground: healthcare, manufacturing, logistics, real estate and so on. Our specialists will design Cassandra’s data model to enable efficient key-based data lookups. And, besides that, they will ensure that Cassandra’s writes are incredibly cheap and lightning-quick to make Cassandra work well with huge amounts of incoming data. This is exactly what sensor data requires.
Messaging systems
Messaging systems (instant messaging, collaboration apps and so on) require new messages to be written easily and quickly to the database. And that’s what Cassandra does perfectly. Besides, such solutions usually don’t require lots of updates, which is good because it is one of Cassandra’s weak spots. Also, Cassandra’s compaction may suit such systems’ needs: our specialists can tune the solution to periodically delete old irrelevant data. And if you want to set up a popular feature for messages to only be available within a limited time, we can give every message a “time to live” and it will be erased automatically. This will reduce costs of storing and deleting data.
Ecommerce and entertainment websites
Cassandra’s write efficiency, read speed and data model’s design make the database suited for user activity tracking on ecommerce and entertainment websites. We can set up all needed Cassandra features to store data on the products a visitor looked through, the movies they watched or the games they played. And on top of that, we can integrate Cassandra with an analytical tool of your choice to define visitors’ preferences on-the-fly and recommend them products/movies/books/articles they may like.
Big data solutions for banks
With Cassandra, banks can not only get a 360-degree customer view but also expand the list of their security features with, say, fraud detection. ScienceSoft can safeguard Cassandra’s high availability, which will enable banks to be sure that their security features are always up and running. We can properly tune Cassandra’s read performance to make data about a particular user easily extractable for analysis. And besides that, our consultants can set up Cassandra’s seamless integration with Apache Spark to analyze potential fraud in real time.
Key Cassandra-Related Technologies We Work With
Azure Managed Instance for Apache Cassandra
Azure Cosmos DB Cassandra API
Amazon Keyspaces (for Apache Cassandra)
Amazon EC2
Amazon EBS
Apache Spark
Apache Kafka
Apache Flink
Apache NiFi
Docker
Kubernetes
What Challenges We Solve
Achieving both high read and write performance seems mutually exclusive
Problem. Apache Cassandra is targeted at write operations. But what about reads? Having both writes and reads perform quickly and neatly may seem unachievable, which is why you’d have to choose only one of the alternatives.
Adding more nodes doesn’t improve performance
Problem. Cassandra provides good possibilities for scaling up linearly. But in some cases, it may not be enough just to add nodes to your cluster to reach it.
Machine learning tasks critically overload Cassandra
Problem. Although Cassandra’s read is quick, intensive read workloads that your machine learning (ML) creates can cause serious performance issues for Cassandra.