Data Pipeline Bulit for the Data Engineer

Build Data Pipelines
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Power to the Data Engineer
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Tame Your Data Landscape and
Build the Optimal Data Pipeline

Leverage your existing data infrastructure investments to build the most robust data pipelines for your business with greater governance, agility, and speed. Empower your business users with AI-powered analytics and insights they can act on.

Data Pipeline Management

Streamline ETL and perform data prep with a broad range of data connectors and support for SQL, Python, and R in the same environment
Optimize query performance and efficiently manage utilization across your data infrastructure with materialized views and flexible view scheduling options
Mash up data from any source at scale — including from your cloud data warehouse
Get full data workflow transparency from raw data to models to analysis

Bynder manages its complex data of 10 billion rows from 3,800 tables with flexible, reusable data models that accelerate analysis workflows.

Profit Tools saw an 80% increase in profitability through accelerated end-to-end supply chain analysis across 10 previously incompatible data sources (IoT, Orders, CSM, etc.), creating automatic actionable visibility into supply and distribution operations across the organization.

Streamline user group access and data security down to the row at the data, model, and dashboard level
Scale adoption of analytics with built-in tools that accelerate automation and offer granular control
Monitor system health and user engagement to proactively optimize deployment performance
Track adoption and interactions to empower more business users in your organization

Orion deployed and delivered pre-configured dashboards with drill-down capabilities to nearly 900 customers in just 75 days — all with unique security needs — greatly reducing governance effort and cost.

Build models once, then power many use cases
Mash up models and apps from formerly siloed data sources — both live and cached
Enjoy ease of use throughout the entire analytics lifecycle

BrightStar went quickly from data silos to data models to deliver insight for internal and external clients. They also accelerated execution times tenfold for analyzing client requests, understanding similarities across requests and facilities, and optimizing responses.

Watch Demo Build it Yourself

Sisense provides us with a powerful platform that scales alongside our business as we integrate more data sources and enable all employees to have a true self-service experience.

Emanuele Nardo, Data Scientist

Tour the Sisense Data & Analytics Platform for Data Engineers

Power to the Data Engineer

Is your data complex? We’ve got powerful tools!
Sisense's AI-powered analytics platform simplifies complex data and transforms it into actionable analytics apps that can be delivered to your user — no matter who they are.

Manage Cumbersome Data Processes

Streamline your existing data infrastructure and eliminate bottlenecks in data prep, ETL, and modeling to enable faster insights.

Sisense offers out-of-the-box connectors for all your data sources including Google BigQuery, Amazon Redshift, and Snowflake.

Additionally, the Sisense merger with Periscope Data accelerates your analytics workflow using built-in SQL, Python, and R editors to prepare datasets and perform data prep.