Ocient

About Ocient

The startup operates a data analytics platform that enables rapid analysis of large datasets, handling tens of terabytes to exabytes with trillions of rows. By ingesting billions of rows per second and providing filtered aggregate results, the platform simplifies complex data ecosystems for organizations.

```xml <problem> Organizations struggle to efficiently analyze massive datasets, often facing limitations in speed, scalability, and cost-effectiveness when using traditional data warehouses. Existing solutions can be slow, expensive, and unable to handle the complexity of modern data types and analytics workloads. This can lead to delayed insights, missed opportunities, and increased operational costs. </problem> <solution> Ocient provides a hyperscale data warehouse designed for real-time analysis of complex datasets. The Ocient Hyperscale Data Warehouse enables users to transform, stream, and load data directly, returning previously infeasible queries in seconds. By bringing storage adjacent to compute, Ocient maximizes performance on industry-standard hardware and offers flexible deployment options, including on-premises, OcientCloud, and public cloud environments. The platform supports a range of features, including native support for semi-structured data, geospatial data analysis, and machine learning, all accessible through standard SQL interfaces. </solution> <features> - Hyperscale ETL service that transforms data during stream or file loading - Support for structured and semi-structured data, including arrays, tuples, and matrices - Geospatial data analysis capabilities with functions for ST_POINT, ST_LINESTRING, and ST_POLYGON - In-database machine learning with OcientML, enabling model building, training, and deployment using SQL - Compute Adjacent Storage Architecture with NVMe drives located adjacent to the processor - Support for standard query interfaces, including SQL, JDBC, ODBC, and Python API - Workload management features, including scheduling priorities, resource limits, and service-class settings - Flexible deployment options: OcientCloud, public cloud, and on-premises </features> <target_audience> Ocient targets organizations across industries, including AdTech, telecommunications, government, financial services, and operational IT, that require high-performance analytics on large, complex datasets. </target_audience> ```

What does Ocient do?

The startup operates a data analytics platform that enables rapid analysis of large datasets, handling tens of terabytes to exabytes with trillions of rows. By ingesting billions of rows per second and providing filtered aggregate results, the platform simplifies complex data ecosystems for organizations.

Where is Ocient located?

Ocient is based in Chicago, United States.

When was Ocient founded?

Ocient was founded in 2016.

How much funding has Ocient raised?

Ocient has raised 147730000.

Location
Chicago, United States
Founded
2016
Funding
147730000
Employees
171 employees
Major Investors
Greycroft, OCA Ventures

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Ocient

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Executive Summary

The startup operates a data analytics platform that enables rapid analysis of large datasets, handling tens of terabytes to exabytes with trillions of rows. By ingesting billions of rows per second and providing filtered aggregate results, the platform simplifies complex data ecosystems for organizations.

ocient.com5K+
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Crunchbase
Founded 2016Chicago, United States

Funding

$

Estimated Funding

$100M+

Major Investors

Greycroft, OCA Ventures

Team (100+)

No team information available.

Company Description

Problem

Organizations struggle to efficiently analyze massive datasets, often facing limitations in speed, scalability, and cost-effectiveness when using traditional data warehouses. Existing solutions can be slow, expensive, and unable to handle the complexity of modern data types and analytics workloads. This can lead to delayed insights, missed opportunities, and increased operational costs.

Solution

Ocient provides a hyperscale data warehouse designed for real-time analysis of complex datasets. The Ocient Hyperscale Data Warehouse enables users to transform, stream, and load data directly, returning previously infeasible queries in seconds. By bringing storage adjacent to compute, Ocient maximizes performance on industry-standard hardware and offers flexible deployment options, including on-premises, OcientCloud, and public cloud environments. The platform supports a range of features, including native support for semi-structured data, geospatial data analysis, and machine learning, all accessible through standard SQL interfaces.

Features

Hyperscale ETL service that transforms data during stream or file loading

Support for structured and semi-structured data, including arrays, tuples, and matrices

Geospatial data analysis capabilities with functions for ST_POINT, ST_LINESTRING, and ST_POLYGON

In-database machine learning with OcientML, enabling model building, training, and deployment using SQL

Compute Adjacent Storage Architecture with NVMe drives located adjacent to the processor

Support for standard query interfaces, including SQL, JDBC, ODBC, and Python API

Workload management features, including scheduling priorities, resource limits, and service-class settings

Flexible deployment options: OcientCloud, public cloud, and on-premises

Target Audience

Ocient targets organizations across industries, including AdTech, telecommunications, government, financial services, and operational IT, that require high-performance analytics on large, complex datasets.

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