Need advice about which tool to choose?Ask the StackShare community!
Manage your open source components, licenses, and vulnerabilities
Learn MorePros of Google BigQuery
Pros of Snowflake
Pros of Treasure Data
Pros of Google BigQuery
- High Performance28
- Easy to use25
- Fully managed service22
- Cheap Pricing19
- Process hundreds of GB in seconds16
- Big Data12
- Full table scans in seconds, no indexes needed11
- Always on, no per-hour costs8
- Good combination with fluentd6
- Machine learning4
- Easy to manage1
- Easy to learn0
Pros of Snowflake
- Public and Private Data Sharing7
- Multicloud4
- Good Performance4
- User Friendly4
- Great Documentation3
- Serverless2
- Economical1
- Usage based billing1
- Innovative1
Pros of Treasure Data
- Scaleability, less overhead2
- Makes it easy to ingest all data from different inputs2
- Responsive to our business requirements, great support1
Sign up to add or upvote prosMake informed product decisions
Cons of Google BigQuery
Cons of Snowflake
Cons of Treasure Data
Cons of Google BigQuery
- You can't unit test changes in BQ data1
- Sdas0
Cons of Snowflake
Be the first to leave a con
Cons of Treasure Data
Be the first to leave a con
Sign up to add or upvote consMake informed product decisions
What is Google BigQuery?
Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure.
Load data with ease. Bulk load your data using Google Cloud Storage or stream it in.
Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
What is Snowflake?
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
What is Treasure Data?
Treasure Data's Big Data as-a-Service cloud platform enables data-driven businesses to focus their precious development resources on their applications, not on mundane, time-consuming integration and operational tasks. The Treasure Data Cloud Data Warehouse service offers an affordable, quick-to-implement and easy-to-use big data option that does not require specialized IT resources, making big data analytics available to the mass market.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention Google BigQuery, Snowflake, and Treasure Data as a desired skillset
What companies use Google BigQuery?
What companies use Snowflake?
What companies use Treasure Data?
What companies use Google BigQuery?
What companies use Treasure Data?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with Google BigQuery?
What tools integrate with Snowflake?
What tools integrate with Treasure Data?
What tools integrate with Treasure Data?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
+16 7
2656
+25 10
6918
+47 55
72906
+31 28
37235
+39 22
31828
+26 27
10867
What are some alternatives to Google BigQuery, Snowflake, and Treasure Data?
Google Cloud Bigtable
Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.
Amazon Redshift
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Google Analytics
Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).