Google Cloud Bigtable Reviews

My main use case for Google Cloud Bigtable is mainly for advertisement-related analytics-related use cases.

The functions of Google Cloud Bigtable that I have found most valuable are comparable to other products. As a GCP alternate, performance-wise, it matches up to other NoSQL databases such as Cassandra and others. In that way, it is a good match for clients who are already on cloud.

The main benefit I receive from Google Cloud Bigtable is the managed service part. People who are moving over from on-premises to cloud can map without much hassle to a similar service. Though alternates are available, managing these services is cumbersome for clients, and that is where Google Cloud Bigtable helps.

One point for improvement in Google Cloud Bigtable is that people have confusion in mapping. There are many similar products available, and Google has managed services for similar products as well. It would be easier if the journey of knowing when to use Google Cloud Bigtable versus other Cloud SQL and alternates such as Cloud Spanner is made clearer for users.

Regarding additional functionality for Google Cloud Bigtable, I am uncertain if LLMs can be integrated or if Google Cloud Bigtable can act as a vector store for LLM-specific use cases where we are interacting or using generative AI capabilities.

I have been working with Google Cloud Bigtable for two and a half years now.

I am using Google Cloud Bigtable's automatic scaling features, and it is useful. We are using autoscaling, which is typically helpful when the workload increases across multi-region and those use cases.

Regarding the performance of Google Cloud Bigtable, as per the SLAs, we have not encountered any issues in availability or downtime. We have been using it with numerous requests, and it manages them effectively.

Regarding stability, from one to ten, I would rate Google Cloud Bigtable's stability around eight.

As for scalability, the ability to scale and expand, I would also rate it around eight.

I would rate Google's technical support at 7.5. I have not had specific complexities with tech support, but sometimes the process of communicating and setting up calls can be cumbersome. They do respond, but you have to provide them substantial information before they can start troubleshooting, and that process can be simplified.

Positive

The initial setup for Google Cloud Bigtable is not cumbersome. It is a service that is not complex, but connecting can sometimes be tricky. With Google services, when I have networking or protocols and want to connect my applications running in Cloud Run to Google Cloud Bigtable or Cloud SQL, the process of setting up the proxy can be cumbersome at times.

Pricing-wise, I find GCP can be a little costly, so I would rate it a 3.5.

I can compare Google Cloud Bigtable with MongoDB and Cassandra, specifically for analytical-related databases. There is confusion for clients to pick between Google Cloud Bigtable and BigQuery as well. Although BigQuery is mainly for analytics, there can sometimes be confusion.

Regarding integration with Google Cloud Bigtable and other Google Cloud services such as Dataflow, Dataproc, and BigQuery, we have not done that integration, but there are connectors available. Some clients look to leverage Apigee and application integrations. However, I have not used the integration plugins or connectors which have been created recently by this cloud provider.

The support for multiple programming languages in Google Cloud Bigtable is helpful for the deployment process, as we have been mostly using Java. For emerging languages such as Python and Go, it might be useful.

On a scale of 1-10, I rate Google Cloud Bigtable an 8 overall.

I make use of Google Cloud Bigtable when there are issues on production that need fast resolutions. I make use of the available tools to analyze the issues and proffer solutions. I also use it to check some of our company's transactions, failures, and other related things.

The most valuable feature of the solution, or what I like best, is its seamless functioning. You can run a query with different parameters without putting in any effort since you are just provided with the column or drop-down list by the solution, and it even helps guess a query for you. The product helps make a database look seamless or very easy to use.

While dealing with complex queries, you need to learn complex queries and type them up or write them up. When it comes to complex queries, a user can't get any help from a drop-down box and pick columns. It would be great if some improvements could be made in the aforementioned area concerning the solution.

I have experience with Google Cloud Bigtable for a year. I am a user of the solution.

Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten.

I use the solution's on-premises version. The stability of the product is dependent on the infrastructure of your on-premises deployment model.

It is a scalable solution. Scalability-wise, I rate the solution an eight out of ten.

Everyone in the organization uses the solution.

The solution is deployed on an on-premises model.

I would tell those who plan to use a solution that the product can make their work easier.

I rate the overall tool a ten out of ten.

When a client gives our organization a project where they need a dashboard for their company, they provide us with some data from their database, which is usually presented in Google Cloud Bigtable. My organization needs to evaluate and clean the data in Google Cloud Bigtable as per our client's requirements, after which it will be sent to Power BI and converted into load data, following which we give the report to our client.

Google Cloud Bigtable is a tool that is useful when a company has a lot of data to evaluate with many effective elements. When it comes to the analysis part, the tool is helpful for the user when it comes to the composition of reports and dashboards.

The data loading, transformation, and the help that Google Cloud Bigtable provides users with the transformation of data, which helps in the evaluation of reports, are features I like the most about the product.

The lagging problem of the product I face is an area of concern where improvements are required. In general, the performance of the product needs improvement.

I have been using Google Cloud Bigtable for a year. I am a user of the solution.

Scalability-wise, I rate the solution a ten out of ten.

I don't need to contact the technical support of the product because I don't face any issues with the tool, except when it lags.

I use Google Cloud Bigtable and Power BI for data analytics in my company. I have knowledge in the areas of data analysis and data analytics.

The product's initial setup phase was very easy for me because I have some knowledge about the setup process.

The solution is deployed on the cloud and hybrid cloud. Anyone who needs data can directly get it from the cloud.

Though the tool's deployment process will not take much time, it will be quick if done by someone with experience with the Google Cloud Bigtable installation process.

I have my friends who encouraged me and helped me deploy the product, as they guided me on how to deploy it, making it a very easy process for me.

In my opinion, there are alternatives to Google Cloud Bigtable from Oracle and SQL. I work with both Google Cloud Bigtable and Oracle, but when ranking in terms of reliability, I found Google Cloud Bigtable to be the most reliable, and the second one is Oracle.

Google Cloud Bigtable's integration capabilities with Google's Services and Oracle Database are beneficial. Oracle Database is one of the sources from where I get data, and it is also very easy and reliable for me to use since I have experience with Google Cloud Bigtable for a year.

Those who plan to buy the solution need to understand their data in the first place. Potential buyers of the tool need to prepare data by cleaning and arranging the data from the sequence while evaluating some areas of performance, like statistical performance, after which it would be easy to use Google Cloud Bigtable.

There is a high level of consistency in Google Cloud Bigtable when it comes to areas like data consistency and availability of the tool at work. I rate the level of consistency offered by the tool a ten out of ten.

I rate the overall tool a ten out of ten.

The solution is being used for enterprise service. 

The solution is very convenient. 

Improvement should be made as per customer recommended and requirements. 

I have been using Google Cloud Bigtable for one year. 

It is a very stable solution. 

Presently, there are thirty users using the solution. 

The initial setup is straightforward.

I rate the overall solution a nine out of ten. 

We've helped some conglomerates collect all the data scattered across their CRM and other business systems and feed it into Google Cloud's ecosystem. We run analytics on the data to provide insights to the leadership team in the form of dashboards integrated with tools like Tableau, Looker, etc.

We have at least three clients on Bigtable, but more of our customers are on Bigquery. Bigtable is also used for a couple of our clients in the automobile sector.

Bigtable is faster than other competitors in the market. It helps us collate all the data, and the security features are great. The latency is low, and the computation speed is fantastic. Bigtable is also a managed service, so you don't have to worry about anything aside from analyzing the data ingested.

I've used Bigtable for about three or four years. 

Bigtable is stable 

Bigtable is scalable. 

Google support is great. As partners, we have direct access to the product teams and customer engineers. Whenever we've had questions, Google Cloud has been helpful.

Deploying Bigtable is straightforward. Some of our implementations took about a month, while others went up to six to eight weeks. Thorough documentation is available on the Google Cloud website, so our teams didn't struggle.

You get a better price if commit to a longer subscription, but they also have a pay-as-you-go model if you're still experimenting with it. It would be nice if the pay-as-you-go license were a little cheaper. I think more customers would use it. Cost optimization is one area Google could improve, but it's great otherwise.

I rate Google Cloud Bigtable 8.5 out of 10. Whether you're a large enterprise or a startup, everything heavily relies on data these days, and Bigtable plays a vital role. An established organization often has data scattered everywhere, so it's a challenge to generate insights. People might be working in silos, but everything needs to be in one place to make data-driven decisions. That's where Bigtable can have an impact.  

Startups face different issues. Their initial strategy is usually to acquire customers, and Bigtable can help them identify the right market for their product. Data analytics is essential to business, and Bigtable acts as a backbone of the entire operation. I recommend it for all types of customers.

Our primary use case is for analytics, analyzing the data sets and curing.

Bigtable is very user-friendly where streaming data is required. I think it's relatively easier to use than Ascentra. The fact that it's a managed service is an advantage.  

The cost of this product is too expensive. 

I've been using this solution for two years. 

The solution is stable. 

The solution is scalable. We currently have 10 users and plan to increase that. 

The technical support has been helpful whenever we've reached out to them. 

Google documentation is generally able to solve any issues we have. 

There are no licensing fees. 

I rate this solution eight out of 10. 

We are a product team and we implement solutions such as Bigtable for our clients.

The primary use is Data Management as a Service.

The most valuable feature is the backup and replication service.

For onboarding customers, it is critical that there is transparency and that the price is reasonable. This product needs better security and transparency, and the price should be reduced.

We have been using Google Cloud Bigtable for three years.

We definitely plan to continue using this product in the future.

Support is not an issue for this solution.

We work with multiple product lines from different vendors.

There is no installation for this cloud-based product.

We are exploring many different products, including hybrid models.

When it comes to the cloud, a lot of things are evolving and there are a lot of new happenings. There is not one thing, but every area including security, data aspects, and networking are all included. This is why it is important to have a system that is transparent.

I can't say whether I would recommend this product, or not. People have to make their own choice of using cloud-based services.

I would rate this solution an eight out of ten.

There isn't any one specific aspect or feature of the solution that we find the most valuable. It is just easy to deploy and offers a lot of data. We are partially looking into putting it together with Data Studio. In general, it's the amount of data the solution offers that's a big selling point for us.

The pricing of the solution needs to be improved.

At the moment, we are just on the border between a more traditional environment and Bigtable. In some ways, it's easier and cheaper to have the query on the other side as well as the know-how of the more traditional database and an environment such as it is. However, we haven't used the solution that long. We're still in the learning phase. In a year from now I would imagine we'd have a lot more to say about the solution.

We've been using the solution for approximately one year now.

The solution is very stable. From that perspective, we've had no issues to speak of. We've never experienced bugs or glitches. We haven't had crashes. It works well and as expected 100% of the time.

This solution is much more scalable than more traditional databases - at least the ones we are aware of. However, we are on the border of this system and another, so we have not scaled too broadly in the short time we've used the solution.

We have a couple of users on the solution. There aren't too many. Most are just using things like dashboards. We haven't gotten too far into delving into the solution yet.

The solution was quite easy to set up, as it's basically already on the cloud. We didn't have trouble with the deployment process at all.

In my opinion, the pricing on the solution is a bit high.

We're just a user of the product. We don't have a relationship with Google. We're currently using the latest version. We just request it on the Google environment when we need to use it.

At this point, after a year of using the solution, I'd rate it eight out of ten. We still have a lot to learn about it, so it's difficult to really give it full marks or to say we aren't happy with it.

Right now, because of where our company is in terms of size and needs, I would say it's better for us to have Bitware.

I like the drive and the support of this program.

I would like to see better pricing. It is not too expensive, but it isn't cheap either.

I have been using the latest version of Google BigTable for about six months now.

The stability of this program is definitely a plus. It is very stable. 

We have only two users currently but I believe the program is scalable.

The technical support is very good.

The setup was complicated at first but it became easier after a while.

The program is rather expensive - it depends on the size of your data.

I will recommend this program to others. If you have a lot of data, it's really scalable and it's competitive. But I don't think it's very beneficial for users with small datasets. I would like to see different pricing for different storage capacities.

On a scale from one to ten, I will rate Google BigTable a nine.