The Data Platform Built for Analytics

Panoply’s fully integrated data management platform makes it easier than ever to connect to your data. By combining cloud data warehouse infrastructure, automated data integrations, and AI-driven automation, Panoply provides top-tier data infrastructure as a service. Instantly connect to all your favorite tools in a simple, intuitive user interface. The best part? Anyone can get started in minutes on their own, without needing any coding skills or technical knowledge.

Assemble all your data…

Connect within minutes to 100+ data sources, from APIs and databases to object stores and file systems.
Collect data

from popular cloud apps including Salesforce, HubSpot, Shopify, and many others

Transform NoSQL data

from MongoDB, DynamoDB, and Elasticsearch into tables automatically

Simplify collection & transformation

of your data, using an ELT approach

Replicate relational databases

including Postgres, MySQL, Microsoft SQL Server, Redshift, and BigQuery

Ingest, parse and structure

CSV & TSV, XLS, JSON, and server log files into easy-to-access tables

Extend Panoply

with more than 200 additional data sources from ETL partners

My favorite facet of Panoply is how easy it is to add new data sources to our warehouse. It’s point and click and the data’s there. It’s fantastic.
José Akle Data Team Lead, Resuelve Tu Deuda

In one place…

Panoply provides an agile data warehouse that effortlessly scales as your business grows.
Scale your data automatically

and cost-effectively, with no manual resizing needed

Govern your data

with role-based permissions and table-level access control

Gain peace of mind

backed by industry-leading AWS and Microsoft Azure infrastructure

Analyze your data

with standard SQL, and connect virtually any tool via industry-standard ODBC/JDBC

Get visibility

into your data pipeline with full control over your job schedules and detailed reporting

We’ve seen drastic improvements in query speed with Panoply. It’s been great empowering everyone to pull and manipulate data on their own.
Daniel Leeb Founder, Saucey

Easier than ever

AI-powered automation eliminates manual data-engineering maintenance work.
Free up your engineers

and IT people: no extra infrastructure or technical resources required

Set scheduled, automatic data ingestion

and backup to keep data fresh and secure

Reindex schema

and data structure automatically to improve runtime performance

Materialize your queries

to get faster results, and automatically re-materialize when new data arrives

Automatically optimize

your storage based on usage, including eliminating repetitive tasks such as vacuuming

Rely on expert support

from our Data Architects

We love now having a solution that gets all our data into one place, without having to involve engineering.
Justin Mulvaney BI Manager, Spacious

Secure & Reliable

Secure, stable, and reliable infrastructure

As with any AWS cloud-hosted solution, responsibility for security is shared between Panoply and AWS.

Panoply uses Amazon cloud’s flexible and secure cloud infrastructure to store data logically across multiple AWS cloud regions and availability zones.

Panoply is SOC 2 certified and in adherence with HIPAA protocol guidelines, in addition, it rests on Amazon’s AWS, which complies with standards such as: PCI-DSSL SOC 2, SOC 3, FISMA, and FedRamp.

Every process runs in its own isolated, secure container.

Layered security and anomaly protocols

We take multiple precautions to ensure that all data is safe and secure.

Customers retain control of which security measures they choose to implement to protect their own content, platform, applications, systems and networks.
Panoply’s permissions enable customers to restrict access to specific tables and views for hierarchical security protocol.
We use a network that is segmented using AWS security groups, VPCs, ACLs, and additional custom measures.

Audits

Security measures are taken regularly and frequently to make sure Panoply is using the latest and greatest in security protocols.

Panoply’s security and R&D teams meet on a monthly basis to review risk assessments, system security configurations, and policies, as well as conduct internal security audits.
Panoply conducts annual gray-box penetration tests to all of its code.
Our network security are monitored, logged, and analyzed 24/7.

Panoply under-the-hood

Smart cloud data warehouse automation manages the data pipeline to save you time and resources.

Automated ETL

Our AI-powered solution is based on an ELT process that uses natural language processing to automate extract, load, and transfer processes to save you endless hours of coding and modeling for data ingestion, integration, and transformation.

Learn more about ELT

Data integration

Panoply can ingest data from over 100 data integrations, including databases, APIs, file systems and Panoply's SDK for pushing data from any current and future data source into Redshift, which is all done through Panoply.

  • Automates data source connections
  • Seamlessly connects to third party SaaS API's
  • Easily connects to the most common storage services
  • Build your own data source connection with Panoply’s SDK

Data schema modeling

Adaptive schema changes at real time along with the data. You don't need any prior knowledge and changes are seamless. Just load data in, everything else is automatic.

  • Data types are automatically discovered and a schema is generated based on the initial data structure
  • Likely relationships between tables are automatically detected and used to model a relational schema
  • Slowly-changing tables are automatically generated
  • Aggregations are automatically generated
  • Table history feature allows you store data uploaded from API data sources so you can compare and analyze data from different time periods

Automated data transformation

Panoply automatically performs common transformations, including the identification of structures & semi-structured data formats like CSV, TSV, JSON, XML, and many log formats – and immediately flattens nested structures like lists and objects. Structured data can also be transformed into different tables with a one-to-many relationship.

  • Common data formats are identified automatically, and parsed accordingly
  • Compressed files are discovered and extracted
  • Nested structures can be either flattened or placed into a sub-table
  • Enhancement modules are automatically applied to the data

Query Performance Optimization

Panoply automatically reindexes the schema and performs a series of optimizations on the queries and data structure to improve runtime based on your usage.

Remodelling through continuous optimization

Panoply offers several tools for automated maintenance of your analytical infrastructure, but also provides transparency and full control over all processes, enabling you to apply changes manually when needed.

  • Reindexing happens automatically whenever the system detects changes in query patterns
  • Panoply automatically identifies columns used for joins, and re-distributes the data across nodes to improve data locality and join performance

View materialization and query caching

Panoply utilizes statistical algorithms to inspect query and dashboard runtime over selected data to constantly look for ways to optimize query performance. For example, popular queries and views are automatically cached and materialized.

Learn More

Concurrency

Multi-cluster replication allows the compartmentalization of storage and compute. The number of available clusters scales with the number of users and the intensity of the workload, supporting hundreds of parallel queries that are load balanced between clusters.

Connect to any business intelligence tools

Panoply exposes a standard JDBC/ODBC endpoint with ANSI-SQL support to allow instant, seamless connection to any visualization or business intelligence tool, such as Chartio, Looker, and Tableau.

Storage optimization

Panoply is constantly running periodic processes to mark the data and optimize the storage based on your usage. Full and incremental backups are automated so you don't have to schedule them.

Scaling up and down the cluster

Panoply automatically scales up and down based on the data volume. Scaling happens automatically behind the scenes, keeping your clusters available for both reads and write, and thus ingestion can continue uninterrupted. When the scaling is complete, the old and new clusters are swapped instantly.

Automated maintenance

Panoply automates the vacuuming and compressing of tables to help improve Redshift database performance, continuously analyzes tables to better utilize the queries its receiving, and give you fresh metadata.

Check out Panoply’s transparent pricing for any type of business.

View Plans and Pricing

Need more info? Speak with an expert Data Architect by setting up a personalized demo.