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IoT Data Warehouse

Report on high volume sensor data in real-time at scale

Download the HarperDB Core to Edge White Paper 

Learn more about how Industry 4.0 and IoT are transforming the way we access and analyze data.

Today’s IoT deployments are challenged to operate at high speeds, and with fewer resources. They generate large volumes of data on a continuous basis, that must be ingested, and processed with high throughput to deliver actionable insights instantly. 

Current IoT cloud solutions cannot keep up. See why edge computing is a must have when it comes to any company's IoT strategy. 

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Native Drivers for Analytical tools like Tableau, PowerBI and more.  

Unlock Your Edge Data

HarperDB's dynamic schema allows for performant and scalable data warehousing on unstructured data. 

Real-time analytics on unstructured data

Consume unstructured and structured sensor data into a single model, and perform real-time analytics without transformation or data mapping while using your favorite business intelligence tools and our analytics drivers for JDBC, ODBC, Excel, BizTalk , and Powershell.

NoSQL and SQL Capabilities Natively, in Real-Time

HarperDB offers full NoSQL CRUD with features that are unique to HarperDB like joins, advanced math, and multiple conditions. HarperDB offers full CRUD operations via SQL like any traditional RDBMS which is intended to accommodate application and BI use cases. This allows ingestion of data via standard SQL INSERT & UPDATE as well as offering complex SQL queries with no performance impact on unstructured data. Joins, multiple operators, and multiple conditions are possible in sub-second time.

Fully-Indexed Database

While any product can be fully indexed, HarperDB is fully indexed without utilizing RAM or data duplication. This avoids out of memory exceptions and row locking. No configuration is required. This means that you can run the reports and dashboards you want, without needing a DBA to add new indexes or configure new views.

Standard Interfaces You Already Know

Don't want to learn a new version of SQL? Don't worry, HarperDB supports ANSI SQL on unstructured data with joins, multiple operatiors and multiple conditions. Utilize our analytics drivers like JDBC, ODBC, or REST to connect to standard business intelligence tools like Tableau or PowerBI.

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    Simple REST API

    Write to a schema-less single model with either JSON or SQL using HarperDB’s single model architecture and easy-to-use REST API.

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    Exploded Data Model

    Instead of storing this data as columns and rows or a document store, HarperDB explodes the data into individual indices.

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    Natively Indexed

    Each attribute is stored separately, allowing for HarperDB to be fully indexed without creating additional overhead.

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    SQL and NoSQL

    You can then query or search HarperDB using SQL or noSQL on any column. Using joins and multiple conditions and operators, HarperDB coalesces these indices back into a single object and return the results in JSON or column row format.

Get the HarperDB Shipping Logistics Case Study

Edge Based Data Collection & Analytics for Real-Time Vehicle Logistics using HarperDB

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