What is Panoply?
It is the data warehouse built for analysts. Our data management platform automates all three key aspects of the data stack: data collection, management, and query optimization.
Panoply is a tool in the Big Data as a Service category of a tech stack.
Who uses Panoply?
Companies
Developers
8 developers on StackShare have stated that they use Panoply.
Panoply Integrations
MySQL, Google Analytics, PostgreSQL, MongoDB, and Amazon S3 are some of the popular tools that integrate with Panoply. Here's a list of all 19 tools that integrate with Panoply.
Panoply's Features
- Data warehouse
- Business Intelligence
- Optimized Query Engine
Panoply Alternatives & Comparisons
What are some alternatives to Panoply?
Stitch
Stitch is a simple, powerful ETL service built for
software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.
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.
Segment
Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.
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.
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.
