Analyze your MongoDB Data in SQL

Integrating SQL and MongoDB has never been easier. Try Panoply for Free
Easily integrate data from over 30+ sources so it’s always ready for action.

Panoply in 30 seconds

See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your MongoDB data.

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Fuel your analytics

Panoply automatically organizes data into query-ready tables and connects to popular BI tools like SQL as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.

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Code-free data pipeline

Seamlessly sync MongoDB and all your other data sources with Panoply’s built-in ETL. Set up a pipeline in minutes with our simple point-and-click interface, then we’ll handle the ongoing maintenance so you can focus on building value, not fixing leaky plumbing.

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All your data in one place

Easily sync and store over 30+ data sources. Break down the silos separating your data to create a single source of truth your whole company can rely on.

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Integrate with SQL in minutes

SQL is the lingua franca of analytics, but your business users may be more comfortable with self-service BI tools than writing SELECT statements. Supporting both is no problem with Panoply. We make it easy to query and model your data from 30+ data sources with Panoply’s built-in SQL workbench (or your own favorite Postgres-flavored workbench) and sync data to multiple analytics tools, no ETL code required. Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between the SQL workbench you love and the BI tool the rest of the company can’t live without. Power both with Panoply.

Learn more:
Documentation

See all Integrations

Other integrations with SQL

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HubSpot
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MySQL
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MongoDB
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Amazon S3
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Facebook Ads
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Google Ads
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Google Analytics
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Shopify
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Zendesk
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Fivetran
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Google Sheets
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JSON
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Microsoft Azure SQL Data Warehouse
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Microsoft Excel
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Stitch
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Twitter
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BigQuery
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CSV
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Google Search Console
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Instagram for Business
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LinkedIn Ads
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Segment
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Singer
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Stripe
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Twitter Ads
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WooCommerce
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Asana
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Intercom
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Amazon DynamoDB
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AppsFlyer
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Delighted
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Elasticsearch
SQL +
Facebook Pages
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Google Cloud Storage
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MailChimp
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Microsoft SQL Server
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Upload Data
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Wordpress
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Tray.io
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Jira
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Magento
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SFTP
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Snowplow
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Zapier
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AdRoll
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AfterShip
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Amazon Aurora PostgreSQL
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Amazon Cloudfront
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Amazon Kinesis Firehose
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Amazon Marketplace
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Apple Search Ads
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Autopilot
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Azure Blob Storage
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BigCommerce
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Braintree Payments
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Branch
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BranchTrack
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Codat
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Crashlytics
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Criteo
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Customer.io
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Desk
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Drip
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Dropbox
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Eloqua
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Enchant
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FormKeep
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Freshdesk
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Front
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GitHub
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GitLab
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Google Cloud SQL Postgres
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Google Cloud SQL MySQL
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Harvest
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Help Scout
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Heroku Postgres
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IBM DB2
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Iterable
SQL +
Klaviyo
SQL +
Mailjet
SQL +
MariaDB
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Marketo
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Mavenlink
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NetSuite
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optimizely
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Oracle Database
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Particle
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Payline
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PayPal
SQL +
Pinterest
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Pipedrive
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Pivotal Tracker
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QuickBase
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Quickbooks
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Recharge
SQL +
Recurly
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Referral SaasQuatch
SQL +
Sailthru
SQL +
Salesforce Marketing Cloud
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Selligent
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SendGrid
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Sendwithus
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Shippo
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Sparkpost
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Spree Commerce
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Square
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Taboola
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Trello
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Urban Airship
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Vero
SQL +
Webhooks
SQL +
Xero
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Zendesk Chat
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Zendesk Sell
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Zoho CRM
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Zuora
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Amazon QuickSight
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Apache Superset
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Apache Zeppelin
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Birst
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CARTO
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Chartio
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Cumul.io
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Domo
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GoodData
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Google Data Studio
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Grafana
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Holistics
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IBM Cognos
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Jupyter
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Klipfolio
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KNIME
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Metabase
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MicroStrategy
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Mode Analytics
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Pandas
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Pentaho
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Plotly
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PopSQL
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Power BI
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Python
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Qlik
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R
SQL +
Redash
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SeekWell
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Shiny
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Tableau
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ThoughtSpot
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TIBCO Spotfire X
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Trevor.io
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Yellowfin
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Zoho Analytics

Integrate with MongoDB in minutes

Panoply integrates both SQL and NoSQL data from any existing DBMS. Those capabilities would not be complete without MongoDB, the most widely used NoSQL DBMS. MongoDB is known for its automatic, easily scaled data clusters. With Panoply, importing MongoDB data is as simple as a few clicks, and once there it is easily accessible from within the cloud database. It can be combined with other SQL and NoSQL data sources, and your data scientists and analysts can immediately query the data and drive actionable conclusions. The Panoply platform makes it easy to consolidate all of your data, including MongoDB, and begin drawing conclusions in minutes without any custom scripts or programming. Secure, scalable, and powerful, Panoply is an invaluable tool for making use of your stored MongoDB data and replaces the need for a large data infrastructure. Create your own MongoDB data warehouse with Panoply.

Learn more:
Documentation
MongoDB Data Warehousing
MongoDB Business Intelligence

See all Integrations

Other integrations with MongoDB

MongoDB +
Chartio
MongoDB +
Tableau
MongoDB +
Power BI
MongoDB +
Looker
MongoDB +
Cumul.io
MongoDB +
Mode Analytics
MongoDB +
Metabase
MongoDB +
Google Data Studio
MongoDB +
Redash
MongoDB +
Apache Superset
MongoDB +
SeekWell
MongoDB +
Amazon QuickSight
MongoDB +
Domo
MongoDB +
Grafana
MongoDB +
Qlik
MongoDB +
Trevor.io
MongoDB +
Apache Zeppelin
MongoDB +
Birst
MongoDB +
CARTO
MongoDB +
Databricks
MongoDB +
GoodData
MongoDB +
Holistics
MongoDB +
IBM Cognos
MongoDB +
Jupyter
MongoDB +
Klipfolio
MongoDB +
KNIME
MongoDB +
MicroStrategy
MongoDB +
Pentaho
MongoDB +
Plotly
MongoDB +
PopSQL
MongoDB +
Julia
MongoDB +
Pandas
MongoDB +
Python
MongoDB +
SQL
MongoDB +
R
MongoDB +
Shiny
MongoDB +
ThoughtSpot
MongoDB +
TIBCO Spotfire X
MongoDB +
Yellowfin
MongoDB +
Zoho Analytics
MongoDB +
Amazon DynamoDB
MongoDB +
Amazon S3
MongoDB +
AppsFlyer
MongoDB +
Asana
MongoDB +
BigQuery
MongoDB +
Bing Ads
MongoDB +
CSV
MongoDB +
Delighted
MongoDB +
Elasticsearch
MongoDB +
Facebook Ads
MongoDB +
Facebook Pages
MongoDB +
Facebook Posts
MongoDB +
Fivetran
MongoDB +
Google Ads
MongoDB +
Google Analytics
MongoDB +
Google Cloud Storage
MongoDB +
Google Drive
MongoDB +
Google Analytics Ecommerce
MongoDB +
Google Search Console
MongoDB +
Google Sheets
MongoDB +
HubSpot
MongoDB +
Instagram for Business
MongoDB +
Intercom
MongoDB +
Jira
MongoDB +
JSON
MongoDB +
LinkedIn Ads
MongoDB +
Magento
MongoDB +
MailChimp
MongoDB +
Microsoft Azure SQL Data Warehouse
MongoDB +
Microsoft Excel
MongoDB +
Microsoft SQL Server
MongoDB +
MySQL
MongoDB +
Pardot
MongoDB +
PostgreSQL
MongoDB +
Redshift
MongoDB +
Salesforce
MongoDB +
Segment
MongoDB +
SFTP
MongoDB +
Shopify
MongoDB +
Singer
MongoDB +
SnapLogic
MongoDB +
Snowplow
MongoDB +
Stitch
MongoDB +
Stripe
MongoDB +
Sybase
MongoDB +
Tray.io
MongoDB +
Twilio
MongoDB +
Twitter Ads
MongoDB +
Twitter
MongoDB +
Upload Data
MongoDB +
WooCommerce
MongoDB +
Wordpress
MongoDB +
Zapier
MongoDB +
Zendesk

Try It Now

Start syncing your MongoDB data to SQL now. Get a full Panoply trial free for 14 days.

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Free 14 day trial. No credit card required.

Frequently Asked Questions

How do I connect SQL to my MongoDB data?
To start analyzing your MongoDB data in SQL, you’ll first create a connection to Panoply. Panoply stores a replica of your MongoDB data and syncs it so it’s always up-to-date and ready for analysis. You can connect SQL to your MongoDB data in Panoply via an ODBC connection.
What data can I integrate with SQL?
Panoply allows you to integrate SQL with over 60 data integrations including all major CRMs, databases, file systems, ad networks, analytics platforms, and finance tools. All of your data is stored in ready-to-analyze tables that can be joined together with SQL or merged in your BI tools. Integrating data for cross-channel advertising analysis, full-funnel conversion analysis, and CAC vs LTV analysis has never been so easy.
What is Panoply?
Panoply is a secure place to sync, store, and access all your business data. With 60+ data integrations, Panoply transforms scattered data into a single source of truth that’s accessible to your entire team via any BI tool or analytical notebook. Run as many queries as you’d like and add as many users as you need for one transparent price.

Technically speaking, Panoply combines user-friendly ETL (Extract, Transform, Load) data pipelines and data warehouse functionality in one platform. Get the control you need with simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.