Weaviate Enterprise Cloud Reviews

Weaviate Enterprise Cloud serves multiple uses, but predominantly it functions as a vector database that we use to store a database for semantic search retrieval. We have four products that are driven by it: Inteligencity CMS, Inteligencity Signal, Inteligencity Honeybadger, and Inteligencity Deploy Studio, and they all use Weaviate Enterprise Cloud.

A specific example of how Inteligencity Signal uses Weaviate Enterprise Cloud is as follows: we work on city intelligence, so people utilize that product to find events and people within a city, predominantly London. People can find events, all the data is stored in Weaviate, and then semantic search can be conducted, which is very fast and accurate. It provides agents that can be called to get excellent semantic search results.

Weaviate Enterprise Cloud helps us achieve those results in Inteligencity Signal with an excellent SDK. The SDK allows developers to integrate with the cloud solution so that the search is very accurate, but also relatively simple to set up. There is not only speed and accuracy, but ease of setup, provided you are a developer. The SDK is the primary reason why we are using Weaviate Enterprise Cloud.

Weaviate Enterprise Cloud is a good all-round product. The support is excellent. I have spoken to people there directly when we have had issues early on, but they were rectified. They also innovate, constantly creating updates and providing new features. They do not stand still.

The best features Weaviate Enterprise Cloud offers include the good SDK, speed, and scaling. It is easy to scale as you can go from zero to massive scaling without encountering issues.

Regarding Weaviate Enterprise Cloud's governance and security, it is good and pretty standard, with nothing that stands out security-wise. The standard approach makes things easy to integrate with what we are doing. We have not had any security issues, and we are not anticipating any.

Regarding Weaviate Enterprise Cloud's accuracy and reliability of output, it is excellent. The reliability of output is very good, and it allows considerable tweaking as well, so we can be very specific in our requirements. The SDK is really excellent, so we can tweak responses and our use of it.

The agentic side of things that Weaviate Enterprise Cloud has started is really good. I am actually struggling to think of a way it can be improved. Nothing really comes to mind regarding needed improvements. What tends to happen is that they are actually ahead of when we think of an improvement—they have already done it. There is a lot of innovation going on there.

I have been using Weaviate Enterprise Cloud for two to two and a half years.

Weaviate Enterprise Cloud is stable, and we have never had any downtime.

Scalability is excellent, really excellent.

The support is excellent. I have spoken to people there directly when we have had issues early on, but they were rectified.

We have excellent customer support. I have spoken to the people in the past on their support, and when we identified a few problems, they identified the solutions, and that was fine.

We have experimented with a few other solutions including Pinecone and theoretically Superbase, but we have done some experimentation, and Weaviate has become the default, so we have backed off the experimentation.

Before choosing Weaviate Enterprise Cloud, I evaluated other options including Pinecone and Superbase.

Weaviate offers an initial free trial, which is useful. It lasts for fourteen days, which is nice because it helps with prototypes. When you want to start scaling, the pricing is very competitive. You really have to have huge scaling to incur large costs, so it is fair.

Weaviate Enterprise Cloud impacts our organization positively by allowing us to rapidly prototype products, which is really helpful. We can build a product with the knowledge that all the capabilities and features are there, and then we can rapidly do that. We can turn around initial prototypes in a few hours. Once we prove the prototype, we can eventually scale that as well.

During a team weekend hackathon where we were building a product, the first call was because we needed a vector database, and we went straight to Weaviate Enterprise Cloud. We were able to build that within the weekend, and eventually, we have developed that into a full production product. Because of the rapid prototyping we can do, we effectively work faster as a team.

We use Weaviate Enterprise Cloud as a backbone of what we are doing. The only comparison we can make is if we started to build that type of database ourselves, which would be really expensive. Having it out of the box means that we are paying dollars rather than having to develop a whole platform. So that makes it very cost-effective. In terms of metrics, it is difficult because we really have not thought about that, but it is very beneficial. It is probably an amazing return on investment because having to develop the platform from scratch is something we are capable of, but we obviously do not want to do that.

My advice to others looking into using Weaviate Enterprise Cloud is to try the trial. See if you like it and make a limited subset of what you are doing so you can try all the features out. Then see where it takes you. I would rate this product a ten out of ten.

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The documentation was excellent and provided a good fit for what we needed to do, including having a hosted service and cloud service with the possibility to have a hybrid search. These features combined with nice pricing were the reasons we chose to use Weaviate Enterprise Cloud.

The pricing is competitive and reasonable. The initial deployment was straightforward and fast. I previously used AWS for deployment, which was more difficult, but comparing this with Weaviate Enterprise Cloud, it was much easier and faster to implement.

It would be beneficial to have a way to do an optimized comparison between the embeddings that I have and the embeddings that exist in the vector database.

I started using Weaviate Enterprise Cloud in January of the previous year and used it for around five months while I was at the company.

We did not experience any stability problems.

I cannot speak extensively about scalability because the product I was working with was not that large. However, for our needs, it was sufficient.

I tried other tools in this case, ChromaDB and pgvector. However, pgvector was not good to use because it consumed a lot of space and we would have needed to maintain it internally ourselves. ChromaDB did not have the hybrid search capability. This comparison led us to select Weaviate Enterprise Cloud for our needs.

The initial deployment was straightforward and fast. I previously used AWS for deployment, which was more difficult, but comparing this with Weaviate Enterprise Cloud, it was much easier and faster to implement.

The setup took no more than three days. Since some time has passed, I do not remember the exact timeline, but it was certainly less than a week. I would estimate three days to fully make it work in the context we were operating in.

In our case, we did not need the data to persist for long periods. I implemented a cleanup schedule to keep the billing at its minimum. The maintenance we needed to perform was only a scheduled deletion for data that we no longer needed.

The documentation was excellent and provided a good fit for what we needed to do, including having a hosted service and cloud service with the possibility to have a hybrid search. These features combined with nice pricing were the reasons we chose to use Weaviate Enterprise Cloud.

The initial deployment was straightforward and fast. I previously used AWS for deployment, which was more difficult, but comparing this with Weaviate Enterprise Cloud, it was much easier and faster to implement.

The pricing is competitive and reasonable.

The setup took no more than three days. Since some time has passed, I do not remember the exact timeline, but it was certainly less than a week. I would estimate three days to fully make it work in the context we were operating in.

I would rate this review a ten out of ten.