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.
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.
VP - Customer Engineering at a tech services company with 51-200 employees
Real User
Jun 16, 2022
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.
Technical Software and Product Release Manager at a educational organization with 51-200 employees
Real User
Dec 1, 2020
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.
Non-Relational Databases, also known as NoSQL databases, provide flexible and scalable solutions for managing large-scale data that doesn't fit into traditional table structures. They support a wide range of data models and are ideal for big data and real-time applications.
Non-Relational Databases are used by organizations that need to store and retrieve large amounts of unstructured or semi-structured data. They offer versatility in terms of data models, including document, graph,...
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.
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.
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.
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.
I rate this solution eight out of 10.
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.