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Periscope Data was acquired by Sisense.
Brief
Periscope Data

Periscope Data

Periscope Data provided a unified analytics platform that combined SQL, Python, and R capabilities with powerful visualization tools, enabling data teams to perform sophisticated analysis without switching between multiple tools.

periscopedata.comSan Francisco, California, United StatesFounded 2012

Last updated May 11, 2026 by ATDb automated enrichment

Industry
Business Intelligence / Data Analytics
Business Model
SaaS
Target Market
Mid-Market, Enterprise
Employee Count
51-200
Funding
$26M
Revenue Range
$10M-$50M
Stock Symbol
NASDAQ:PERI
Parent Company
Sisense
API Available
Yes
Market Position

Analytics platform for technical data teams, acquired by Sisense in 2019

Overview

Periscope Data was a data analytics and business intelligence platform designed for technical data teams and analysts. Founded in 2012, the company provided a comprehensive analytics solution that combined SQL, Python, and R capabilities with powerful visualization tools, enabling data scientists and analysts to explore, analyze, and share insights from complex datasets. The platform was particularly popular among technology companies and data-driven organizations that needed sophisticated analytics capabilities beyond traditional BI tools. In May 2019, Periscope Data was acquired by Sisense, a leading business intelligence and analytics platform company, for a reported $40 million. Following the acquisition, Periscope Data's technology was integrated into Sisense's product portfolio, with the platform continuing to operate under the Sisense brand. The acquisition allowed Sisense to strengthen its position in the embedded analytics market and expand its capabilities for technical users who required advanced data analysis tools. While Periscope Data operated primarily in the business intelligence and data analytics space rather than traditional advertising technology, its capabilities were utilized by AdTech companies and marketing teams for analyzing campaign performance, user behavior, and marketing metrics. The platform's strength in handling large-scale data analysis made it valuable for organizations needing to process and visualize advertising and marketing data alongside other business metrics.

Products & Features

SQL Editor

Advanced SQL editor with autocomplete, syntax highlighting, and query optimization for database analysis

Python/R Integration

Native support for Python and R scripts within the analytics workflow for advanced statistical analysis

Data Visualization

Interactive dashboards and visualization tools for creating charts, graphs, and custom visualizations

Collaborative Analytics

Team collaboration features including shared queries, dashboards, and version control

Key Features
Multi-language support (SQL, Python, R)Real-time data analysisInteractive dashboardsVersion control for queriesCollaborative workspaceCustom visualizationsDatabase connections to multiple sourcesScheduled reports and alerts
Use Cases
Marketing campaign performance analysisCustomer behavior analyticsProduct usage metrics trackingBusiness intelligence reportingAd performance measurementRevenue analyticsUser cohort analysisA/B testing analysis
Customer Segments
Technology companiesData-driven startupsE-commerce businessesSaaS companiesDigital marketing agenciesAdTech platforms
Connections

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