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Aerospike vs Cassandra: What are the differences?
Introduction
Aerospike and Cassandra are both popular distributed database management systems, but they have key differences that set them apart. In this article, we will outline six key differences between Aerospike and Cassandra.
Data Model: Aerospike follows a key-value data model, where each record is identified by a unique key and can store a value with multiple bins containing various data types. On the other hand, Cassandra uses a wide column data model, where data is organized into rows, each of which contains multiple columns grouped together in a column family.
Consistency Model: Aerospike offers strong consistency by default, ensuring that all replicas of a record are up-to-date before acknowledging a write operation. Cassandra, on the other hand, provides eventual consistency, where updates are propagated asynchronously to replicas, allowing for higher availability and partition tolerance at the cost of potential data inconsistency.
Partitioning Strategy: Aerospike employs a shared-nothing architecture with automatic data partitioning across nodes, allowing for linear scalability and performance. Cassandra also utilizes a shared-nothing architecture but provides configurable partitioning strategies, including random, byte order, and key-based partitioners, enabling more flexibility in data distribution.
Secondary Indexing: Aerospike supports both primary and secondary indexing, allowing queries to efficiently retrieve records based on secondary attributes. Cassandra, on the other hand, does not natively support secondary indexes, requiring the use of external tools like Apache Lucene or Elasticsearch for efficient querying on non-primary keys.
Data Distribution: Aerospike ensures the replication factor and distribution of data across nodes based on a configurable policy, providing fault tolerance and high availability. In contrast, Cassandra utilizes consistent hashing to determine the placement of data replicas in a ring-like architecture, allowing for balanced data distribution among nodes.
Write Performance: Aerospike is optimized for high write throughput, providing sub-millisecond latency and predictable performance for write-intensive workloads. Cassandra, on the other hand, excels in high read and write throughput scenarios, especially in multi-data center environments, where its asynchronous replication and tunable consistency levels provide excellent scalability.
In Summary, Aerospike and Cassandra differ in their data models, consistency models, partitioning strategies, secondary indexing capabilities, data distribution mechanisms, and write performance characteristics. Each database has its strengths and use cases, depending on the specific requirements of the application.
The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.
The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.
Scylla can handle 1M/s events with a simple data model quite easily. The api to query is CQL, we have REST api but that's for control/monitoring
Cassandra is quite capable of the task, in a highly available way, given appropriate scaling of the system. Remember that updates are only inserts, and that efficient retrieval is only by key (which can be a complex key). Talking of keys, make sure that the keys are well distributed.
i love syclla for pet projects however it's license which is based on server model is an issue. thus i recommend cassandra
By 55M do you mean 55 million entity changes per 2 minutes? It is relatively high, means almost 460k per second. If I had to choose between Scylla or Cassandra, I would opt for Scylla as it is promising better performance for simple operations. However, maybe it would be worth to consider yet another alternative technology. Take into consideration required consistency, reliability and high availability and you may realize that there are more suitable once. Rest API should not be the main driver, because you can always develop the API yourself, if not supported by given technology.
Pros of Aerospike
- Ram and/or ssd persistence16
- Easy clustering support12
- Easy setup5
- Acid4
- Petabyte Scale3
- Scale3
- Performance better than Redis3
- Ease of use2
Pros of Cassandra
- Distributed119
- High performance98
- High availability81
- Easy scalability74
- Replication53
- Reliable26
- Multi datacenter deployments26
- Schema optional10
- OLTP9
- Open source8
- Workload separation (via MDC)2
- Fast1
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Cons of Aerospike
Cons of Cassandra
- Reliability of replication3
- Size1
- Updates1