Panoply

Panoply

Panoply revolutionizes data management with its no-code connectors, enabling effortless integration of data sources in just a few clicks. Users benefit from managed ELT connectors that require zero maintenance, automatic data type detection, and customizable table permissions. The intuitive query builder and built-in dashboards facilitate seamless data exploration and visualization, ensuring insights are just a click away.

Top Panoply Alternatives

1

IBM PureData System for Analytics (PDA)

The IBM PureData System for Analytics (PDA) empowers organizations to efficiently manage vast data sets, leveraging cloud-native architecture for seamless access and scalability.

2

Vertica

Vertica is an advanced data warehouse software offering subscription-based pricing, with new customers receiving a 50% discount.

3

BI Data Warehouse

The Solver Data Warehouse is a cutting-edge, pre-configured solution built on the Microsoft SQL Azure platform, designed to seamlessly integrate diverse transactional data into a single, user-managed database.

4

Pivotal Greenplum

Pivotal Greenplum is a robust data warehouse software designed for big data analytics, seamlessly integrating with the VMware Tanzu platform.

5

Amazon Redshift

Amazon Redshift empowers tens of thousands of customers by delivering superior price-performance and throughput for data analytics at scale.

6

Apache Flume

Apache Flume is a robust, distributed service designed for the efficient collection, aggregation, and movement of large volumes of streaming event data.

7

SQL Data Warehouse

Users can seamlessly query both relational and non-relational data using SQL, whether through serverless on-demand...

8

MS SQL Parallel Data Warehouse

It ensures business continuity with managed disaster recovery and enables near real-time analytics through Azure...

9

Google Cloud BigQuery

With features like built-in machine learning, real-time analytics, and a unified workspace for SQL and...

10

Azure SQL Data Warehouse

It supports diverse data formats, such as database tables and XML files, facilitating insightful business...

11

Visible Advantage

It facilitates simultaneous collaboration among analysts, designers, and engineers, streamlining the software development life cycle...

12

WhereScape RED

With new Workflow Scripts, advanced 3D Merge Settings, and expanded Command Line support, users can...

13

e6data

With support for 1000+ QPS and sub-second latencies on petabyte-scale data, it empowers real-time analytics...

14

Oracle Autonomous Data Warehouse

It features self-service tools for data loading, transformations, and machine learning analysis, enabling efficient querying...

15

Shape Advertising Data Infrastructure

With over 100 pre-built connectors and AI-driven automation, users can efficiently manage budgets, track campaign...

Panoply Review and Overview

It offers an adaptive data model that helps you effectively store and access your data in a variety of formats. All you need to do is upload your data, and the system will apply a suitable schema for more efficient access and utilization. Data types can also be identified automatically.

Data-storage and syncing

Using Panoply, you can connect with 60+ data sources such as databases, APIs, warehouses, and more instantly. It utilizes modern architecture and ETL processes to supply local data to cloud-based storage systems such as HubSpot and Shopify. This system can easily understand even old database technologies such as MySQL and Redshift. Then it will transform data into more efficient NoSQL systems such as MongoDB and DynamoDB. The dashboard can easily convert data from formats such as JSON, XLS, CSV, and more to a relational or non-relation object-oriented format that the resultant system can efficiently store and understand. 

Efficient data management

Storing and scaling databases through this system becomes an easy task as the intelligent systems eliminate the need for manual scaling and automatically expand size as per business requirements or shrink them to save space and operational cost. Data governance can be handled with granular controls over access and viewership, which allows you to define who has the right to modify or extract data. You can also utilize standard SQL query systems that most workbenches and engineers understand to work with data without converting it to a relational form. Job scheduling and monitoring provide high visibility to your pipeline.

Security and reliability

Panoply provides a secure and reliable infrastructure from Amazon to store data in multiple regions and servers in a highly protected manner. Each process on data runs in a separate container that allows faster processing and access times. Layer based systems enhance data protection by segmenting access into multiple layers. Unauthorized users are incapable of accessing data without permission from administrators. All data stores and centers are effectively monitored at every instant to detect any fault or attempts at trespassing. Monthly security audits are automatically conducted, and yearly gray-box penetration tests enhance your systems.