Google Cloud BigTable Reviews & Product Details

I like most about the security it will provide for the users. user-friendly interface. a beginner can also understand easily . if want to store large amount of data we can choose this Review collected by and hosted on G2.com.

sometime it will give slow access for data read and write. for large amount of data storing it will take too much time Review collected by and hosted on G2.com.

Compare with other NoSQL database, Google BigTable keep the records in sorted order in multiple nodes. In short its a distributed sorted hashmap, hence a row scan is possible. Review collected by and hosted on G2.com.

It's not open source, we have to use Google Cloud for using BigTable. Need SQL support for querying BigTable Review collected by and hosted on G2.com.

It an easily integrate with Apache Hadoop and Spark. Big Table is best for storage and data analytics. Review collected by and hosted on G2.com.

The usual stuff like - no joins, less consistency checks, etc. It also lacks the free form nature of json documents. Review collected by and hosted on G2.com.

Bigtable is a No-SQL Database and it is more Dynamodb, and with Dataflow you can do ETL faster. Review collected by and hosted on G2.com.

I think it is really expensive, but it is really capable. Review collected by and hosted on G2.com.

The model is simple to understand, it's only key-values. It's fast. Integrates well with Go. Review collected by and hosted on G2.com.

No good tooling around for monitoring and visualizing keys. Requires a prior key design, it's not a disadvantage per se, but the thinking model to design your database would be different than a SQL option. Review collected by and hosted on G2.com.

large amounts of data in a key-value store and supports high read and write throughput at low latency for fast access to large Review collected by and hosted on G2.com.

Cloud Bigtable is not a relational database. It does not support SQL queries, joins, or multi-row transactions. Review collected by and hosted on G2.com.

Scalability and row based lookups are pretty great Review collected by and hosted on G2.com.

No typing, no relations, the only way to get at data multiple ways is to store it multiple times Review collected by and hosted on G2.com.

quick read/write data and large concurrency support. Review collected by and hosted on G2.com.

Requires high RAM capacity on client for initial application startup, it should perhaphs be more modularized. Review collected by and hosted on G2.com.

Query's Performance is unbeatable and all the challenges with traditional RDBMS's SQL query performance issues were solved with GCP's Big Query/Table Review collected by and hosted on G2.com.

UI of GCP, there are a lot opportunities for improvement Review collected by and hosted on G2.com.

Everything in the Google Cloud Platform ecosystem is really well-integrated. If you want to add a firewall to a virtual machine instance, you just add a firewall in the firewall menu. Same thing goes for the cloud BigTable: Google has made really easy to add a scaleable database infrastructure directly to a virtual machine instance, almost like Databases as a Service (dbaaS) Review collected by and hosted on G2.com.

Some of the documentation is a little bit vague and could use a bit more deal, but that usually always comes with time. Also, Google's Cloud Platform general UI is still a little clunky and un-intuitive, although the products themselves are pretty polished. This UI takes some getting used to. Review collected by and hosted on G2.com.