Aerospike vs. Arango (ArangoDB)

We were developing an advertisement time auction application, where we had to store the client's personal details, advertisement-related details, location, and many other details. Moreover, we required a promotion, cookies, and a few more details from the front end. All this information is heavy in terms of size and cannot be lost if the server crash. So, we required an extremely fast disk database with high scalability and low throughput.

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Use cases provided by default are good and can be improve better using Machine Learning and AI. AQL query language is very simple and efficient in use if anyone using SQL can quickly learn AQL Language.

Developers can easily map the database and can access various patterns like search, ranking.

JSON and semantic search is the latest and next-generation technology to implement to access and extract large datasets.

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• Low latency
• Stable
• Highly configurable
• increasing features

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• AQL query language is big plus for ArangoDB
• It can be implemented cloud as well as on-prem
• Search Engine is a very good option for ArangoDB

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• Load balancing per network segments.
• Reduction in price.
• Cross datacenter replication usage isn't so straightforward. Sometimes cross dc replication can have issues of bad data..

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• By providing the free services for few months will be help understand for beginners
• Enhancing features in dashboard and can make UI more user-friendly
• Should conduct more surveys and adv to improve scalability

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If money isn't an issue, and you're not on the cloud, then I'd go with Aerospike. If you're the cloud ie, aws or azure, then i'd stick with dynamoDB or Cosmos then. Aerospike is definitely not something you want to put into the cloud. It doesn't work well w/ cross regions. If cross DC, you'll have to write some stuff for data integrity checks.

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Could be easier to use and install. Also developer experience needs some work

We used the community edition.

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Aerospike is much more performant than MongoDB, however there is much greater community adoption and support for mongo

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It uses AQL query Language, which is different from other Databases. It has flexibility to integrate in cloud, on-prem anywhere

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• Being able to power the same workload on a fraction of the servers has led to better ROI for my application.
• Less servers needed also meant less time to manage the cluster, leading to savings in engineering time

• It is very powerful tool and should adv more to improve sales
• Should conduct more free trails and trainings
• Open source and runs everywhere

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