ArangoDB vs. Scylla

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.

Incentivized

Scylla is well suited for high-throughput scenarios where keyed data must be read or written with consistently low latency. It's less appropriate for use cases requiring relational queries, secondary indexes, or more structured data sets.

• 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

Incentivized

• Low-latency reads
• CQL has a familiar syntax
• Parity with Cassandra
• Practical features

• 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

Incentivized

• Better documentation for best practices (e.g., how to effectively use connection pooling)

Very easy-to-understand syntax--uses CQL (same as Cassandra), which has many similarities to standard SQL. There are some gotchas, however, that must be known during schema development.

The Scylla cloud support team is incredibly responsive and proactive.

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

Incentivized

Scylla has a quick learning curve (same as Cassandra) compared to other proprietary solutions like BigTable. It supports higher throughput and lower latency that other NoSQL databases like MongoDB, which sacrifice those features for more flexibility and unique features.

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

Incentivized

• Addresses latency requirements of our platform