Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Panoply
Panoply

1
1
+ 1
0
Xplenty
Xplenty

5
7
+ 1
2
Add tool

Xplenty vs Panoply: What are the differences?

Developers describe Xplenty as "Code-free data integration, data transformation and ETL in the cloud". Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage. Once done processing, Xplenty allows you to connect with Amazon Redshift, SAP HANA and Google BigQuery. You can also store processed data back in your favorite relational database, cloud storage or key-value store. On the other hand, Panoply is detailed as "Collect, combine, and integrate all your data with any analytics tools". 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.

Xplenty and Panoply belong to "Big Data as a Service" category of the tech stack.

Some of the features offered by Xplenty are:

  • Xplenty provides you with an visual, intuitive interface to design your ETL data flows
  • Xplenty lets you integrate data from a variety of data stores, such as Amazon RDS, MySQL, PostgreSQL, Microsoft SQL Server and MongoDB.
  • Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage

On the other hand, Panoply provides the following key features:

  • Data warehouse
  • Business Intelligence
  • Optimized Query Engine
- No public GitHub repository available -
- No public GitHub repository available -

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.

What is Xplenty?

Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage. Once done processing, Xplenty allows you to connect with Amazon Redshift, SAP HANA and Google BigQuery. You can also store processed data back in your favorite relational database, cloud storage or key-value store.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose Panoply?
Why do developers choose Xplenty?
    Be the first to leave a pro
      Be the first to leave a con
        Be the first to leave a con
        What companies use Panoply?
        What companies use Xplenty?
          No companies found

          Sign up to get full access to all the companiesMake informed product decisions

          What tools integrate with Panoply?
          What tools integrate with Xplenty?

          Sign up to get full access to all the tool integrationsMake informed product decisions

          What are some alternatives to Panoply and Xplenty?
          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.
          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.
          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 EMR
          It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
          See all alternatives
          Decisions about Panoply and Xplenty
          No stack decisions found
          Interest over time
          Reviews of Panoply and Xplenty
          No reviews found
          How developers use Panoply and Xplenty
          No items found
          How much does Panoply cost?
          How much does Xplenty cost?
          News about Panoply
          More news
          News about Xplenty
          More news