Google Cloud Bigtable VS Hightouch Audiences

Google Cloud Bigtable

A high performance NoSQL database service for large analytical and operational workloads.

Hightouch Audiences

Use data without SQL

Landing page //
2023-09-12

Landing page //
2023-08-04

Categories	Databases NoSQL Databases Key-Value Database Relational Databases
Website	cloud.google.com

Categories	Developer Tools Databases Vitess Data Integration
Website	hightouch.com

Google Cloud Bigtable videos

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Scalability Meetup @ Whitepages - Google Cloud BigTable

Hightouch Audiences videos

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Category Popularity

0-100% (relative to Google Cloud Bigtable and Hightouch Audiences)

Hightouch Audiences

Databases

57 57%

Databases

43% 43

Developer Tools

14 14%

Developer Tools

86% 86

NoSQL Databases

100 100%

NoSQL Databases

0% 0

Relational Databases

100 100%

Relational Databases

0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Bigtable and Hightouch Audiences

When businesses need to scale, they want to do so with limited downtime. The Google Cloud Bigtable provides horizontal Scaling in a matter of seconds without any downtime. To scale, cluster nodes are quickly added to increase your overall Bigtable cluster. Google even provides the option of scaling out only for a matter of hours, to handle a large load of requests. Once the...

Source: www.programmableweb.com

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Social recommendations and mentions

Based on our record, Google Cloud Bigtable seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Bigtable mentions (6)

Vaultree and AlloyDB: the world's first Fully Homomorphic and Searchable Cloud Encryption Solution
In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB's disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever. - Source: dev.to / over 1 year ago
Google Cloud Reference
Cloud Bigtable: Petabyte-scale, low-latency, non-relational 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
A Graph-Based Firebase
> These triples say that the Layer with id 1 has a fontSize 20 and backgroundColor blue. Since they are different rows, there’s no conflict. This sounds a lot like Bigtable (https://cloud.google.com/bigtable), which also does last-write-wins conflict resolution layer. So this is adding a GraphQL + frontend layer to it? - Source: Hacker News / over 1 year ago
The 4 Types of NoSQL Databases You Need to Know
Google's BigTable paper inspired this database design, and it is capable of handling large data loads on distributed machines. In addition, column-oriented databases provide efficient compression and high performance with aggregated queries such as sum, average, and minimum. - Source: dev.to / almost 2 years ago
Can someone help me understand why data batch processing and data streaming processing pose such different challenges in data management?
Because of these and other differences, the tools used are also different. With batch processing, data might be read from large files, processed, and stored in an OLTP (Online Transaction Processing) database (like MySQL) or OLAP (Online Analytical Processing) system (like Google BigQuery). But these would not be good solutions for streaming applications, because they are not optimized for high throughput on a lot... Source: about 2 years ago