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Move SalesForce Data Into a Data Warehouse in Minutes

In marketing and sales, there is often a gold mine hidden within SalesForce data. But mining for gold requires significant analyses, often integrating that data with other data sources. Panoply is an end-to-end, machine learning, automated data management and warehousing platform. Its functionality makes it easier to turn that raw data into analysis in less time.

SalesForce, a cloud computing company known for its feature rich CRM, easily integrates with the Panoply platform. With Panoply, SalesForce data becomes an immediate part of your data warehouse without requiring any costly infrastructure. Panoply’s self-optimizing system shortens data management time and reduces the need for a complex data infrastructure.

Sales reports and data queries can be generated from within Panoply within minutes, with no custom scripts necessary. With Panoply, no ETL or ELT support is necessary to have actionable data that addresses key business questions and drives decisions across departments.

Panoply makes it easy to analyze SaleesForce data
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Why Panoply?

Use-Case Optimization

Analyzes queries and data – identifying the best configuration for each use case, adjusting it over time, and building indexes, sortkeys, diskeys, data types, vacuuming, and partitioning.

Query Optimization

Identifies queries that do not follow best practices – such as those that include nested loops or implicit casting – and rewrites them to an equivalent query requiring a fraction of the runtime or resources.

Server Optimization

Optimizes server configurations over time based on query patterns and by learning which server setup works best. The platform switches server types seamlessly and measures the resulting performance.

Updates, Upserts, and Deletions

Supports standard SQL update and upset operations out of the box – without worrying about vacuuming or rebuilding- unlike many analytical databases.

Semi-Structured Data Parsing

Supports semi-structured text values like nested JSON, user-agent strings, some standard log formats, CSV, and serialized Ruby objects – parsing these objects and normalizing them into a relational database design.

Nested Structures

Handles nested structures automatically, flattening them into several tables with a one-to- many relationship. The result is a ready-to- use relational database design for all current and future datasets.

Columnar Storage

Provides seamless data storage and management in a multitiered, columnar storage based on Amazon Redshift, Elasticsearch, and Hadoop or SS3.

Data Tracking and Alerts

Simplifies how you keep track of vast amounts of data – by identifying patterns, providing notification of anomalies, and generating alerts when the results of arbitrary SQL queries exceed predefined thresholds.

Backup and Recovery

Automatically backs up changes to data to a redundant S3 storage, optionally saved in two different availability zones across continents – enabling full recovery to any point in time.

From raw data to analysis in under 10 minutes

Sign up now for a demo or a free trial of the Panoply platform

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