AMPOOL DELIVERS PERFORMANCE AND CONVENIENCE 

Ampool is a high-performance MPP SQL engine and an intelligent in-memory caching layer to provide data federation layer to boost analytical query processing speeds at scale

Applications and Tools

Custom Apps

Ampool Hub

Central administration for onboarding, resource assignment, data mapping

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Ampool Engine (AE)

Modified Presto

Modified Presto engine Query optimized

Data Caching

MPP Data layer Scalable Caching Layer: In-mem + SSD (optional)

Ampool Proxy (AP)

Data transformation: Two-way hashing, masking Query pushdown

Data Sources

160+  Data Sources

SELF-SERVICE HYBRID CLOUD

Ampool Hub provides a unified view across data lake, data stream, data warehouse, RDBMS sources, deployed in a hybrid cloud that spans across on-premises and multi-cloud environments.

ACCELERATED BUSINESS INTELLIGENCE

Business analysts and citizen data scientists can achieve 30-80x faster performance with their interactive queries when using their favorite BI tools with Ampool.

REAL-TIME AND HISTORICAL DATA

With a single unified Ampool Hub and the connectors, you can handle both real-time data (e.g. real-time streams in Kafka broker) and historical data in data lake and data.

SECURE WITH DATA PRIVACY CONTROL

With Ampool’s Hub, you can mask all the columns of your tabular data (e.g. personal information) or anonymize bi-directionally. You can have end to end encryption with in-flight and at-rest encryption to achieve data privacy in a hybrid environment.

SQL QUERY FEDERATION ACROSS DATA SILOS

Business analysts can join complex datasets across disparate data silos spanning across on-premises and cloud environments at a speed, not possible with today’s legacy data federation vendors.

EXTENSIBLE TO MACHINE LEARNING

Seamlessly adopt predictive insights with Machine Learning by enabling your existing business analysts and citizen data scientists’ access to disparate datasets from the same unified view.

Features

What’s under the hood?

A cloud-native data aggregation and acceleration capabilities deployed between SQL-based applications and a variety of cloud or on-premises data sources

Analytics engine delivers performance by combining 

  • Dynamic Filtering 

  • Pre Denormalization 

  • Join Elimination 

  • Multi-Version Concurrency Control

Optimized Presto

Cost Based

Optimizer

Ampool Data

Modelling Language

Data layer built for high consistency and concurrency

Metadata/Catalog

Java/REST API

Smart Data Tiering

High Throughput

Metadata/Catalog

Java/REST API

Smart Data Tiering

High Throughput

Security

  • Authentication

  • Authorization

  • Encryption

  • Audit

Integrates with 160+ data sources

Drivers

Download the JDBC or ODBC drivers. Please refer to the documentation for additional help or don't hesitate to email us at info@ampool.io 

©2020 Copyright – Ampool, Inc.

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