Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.
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Writer
Score 9.1 out of 10
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Writer is a full-stack generative AI platform. It consists of Writer-built LLMs, a graph-based RAG, AI guardrails, and a flexible application layer. Writer boasts users at enterprises like L’Oreal, Vanguard, and Accenture.
We use Astra DB to improve our management systems. Storing data has become hassle-free and quite simple. When launching a Cassandra-based cloud application, Astra DB is exactly what you need. In addition to the standard training programs and videos, the extended support and training require significant additional effort to activate and cover which I feel is a bit more tedious task.
Carrying out the quality control process allows me to carry out the organization, details [are] written instantly, and progress of the same as well as personalize them. Regarding the interface, I would change it for a more graphic one. On the other hand[,] writer navigates my content of complex documents and thus be able to have shortcuts[.]
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.
There is some setup required to get your word lists in there, adjust your editing style, and set up typical errors, but otherwise it works similarly to other programs (but worth it in my opinion).
Their web editor loses formatting, which several team members have complained about. However, formatting is properly retained in GDocs, Word, and the Chrome extension. There is some setup required to get your word lists in there, adjust your editing style, and set up typical errors, but otherwise it works similarly to other programs (but worth it in my opinion).
I wish it were easy to provide solutions to complex problems rather than simply highlighting them.
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.
We know Astra is built on Cassandra / Kubernetes / Stargate and can work on any cloud. The competitors we reviewed are cloud specific and create a lock in. We also have the option to run Cassandra / Stargate ourselves if we wanted to. The competitors don’t give that option
Grammarly is very advanced, but I use Writer as It offers me additional features like word count, a cleaner interface, and a word processor for taking notes.
As per my experience, I never faced issues of scalability with Astra DB. We don't have at the moment a use case with millions of requests or users, so I can't give full score because of my limited use case.
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.
