Empowered data teams with a SQL-first approach to business intelligence, combining powerful querying capabilities with collaborative visualization and dashboard building for faster, more flexible data analysis.
Last updated Feb 8, 2026
- Industry
- Business Intelligence / Data Analytics
- Business Model
- SaaS
- Target Market
- Mid-Market, Enterprise
- Employee Count
- 51-200
- Funding
- $81M
- Revenue Range
- $10M-$50M
- Stock Symbol
- NASDAQ:PERI
- Parent Company
- Sisense
- API Available
- Yes
Market Position
SQL-first BI platform acquired by Sisense, serving technical data teams
Overview
Periscope Data was a business intelligence and data analytics platform founded in 2012 that specialized in providing data teams with powerful SQL-based analytics capabilities. The platform enabled data scientists, analysts, and engineers to connect to multiple data sources, write complex SQL queries, create visualizations, and build interactive dashboards for data-driven decision making. In 2019, Periscope Data was acquired by Sisense, a leading business intelligence company, and was subsequently rebranded as Sisense for Cloud Data Teams. While Periscope Data is not strictly an AdTech company, it served many AdTech and marketing technology companies as customers who used the platform to analyze advertising performance, campaign metrics, user engagement data, and marketing ROI. The platform's ability to handle large-scale data analysis and its focus on technical users made it popular among data-driven organizations across various industries, including those in the advertising and marketing technology sectors.
Products & Features
SQL Editor
Advanced SQL editor with autocomplete, syntax highlighting, and query optimization for writing complex analytical queries
Data Visualization
Comprehensive visualization library for creating charts, graphs, and custom visualizations from query results
Interactive Dashboards
Collaborative dashboard builder for creating and sharing interactive data dashboards across teams
Data Connectors
Native integrations with multiple databases and data warehouses including PostgreSQL, Redshift, BigQuery, and Snowflake
Scheduled Reports
Automated report generation and distribution via email and Slack
Version Control
Git-like version control for queries and dashboards enabling collaboration and change tracking
Key Features
SQL-first analytics interfaceMulti-database connectivityReal-time data visualizationCollaborative query sharingPython and R integrationCustom chart buildingDashboard embeddingScheduled reportingQuery caching and optimizationRole-based access control
Use Cases
Ad campaign performance analysisMarketing attribution modelingCustomer behavior analyticsProduct usage trackingRevenue and financial reportingOperational metrics monitoringA/B test analysisCohort analysisFunnel optimization
Customer Segments
Data teams and analystsData scientistsBusiness intelligence professionalsMarketing analytics teamsProduct analytics teamsAdTech companiesSaaS companiesE-commerce businesses