Reniac accelerates traffic and data


Reduce latency by up to 29x


13x data acceleration with no software changes


Significantly reduced TCO

Distributed Data Engine

Reniac’s distributed data engine is designed to address key inefficiencies when executing data applications, providing significantly higher performance at lower TCO on scale-out architecture, but without requiring software changes while supporting operational features (e.g., business continuity, and performance monitoring).

The engine does this by enabling a decoupling of the data and application layers, simultaneously acting as an I/O accelerator to resolve any bottlenecks. Large volumes of transactions are processed by the engine’s unique proprietary architecture that attaches storage class memory directly to a low latency network stack.

Reniac uses the latest FPGA technology from Intel and Xilinx.

Higher Performance

Up to 13x increase in performance using COTS servers and FPGA cards

Ease of Deployment

Very easy to install and use with no software changes required

Lower Latency

Predictable low latency at up to 29x lower at the 99th percentile

Enterprise Features

Clustering functionality provides high availability and built-in redundancy

Leading Edge Technology

We use cutting edge CPUs, FPGAs and SSDs

Lower Operation Costs

Significantly lower TCO — reduce the number of servers by up to 50%

Turbocharging your Cassandra DB with rENIAC Data Proxy

Cassandra NoSQL database was designed to efficiently handle write operations. Consequently, there is always a trade-off between achievable read latency vs the amount of data that one can store per node. As the data per node increases, the write pipeline exerts more pressure on the system due to increased computational and IO demands, resulting in degradation of read latency. In addition, we have observed that a combination of other factors impact overall system performance. For example, the network latency (and throughput) has a direct impact on efficient scaling of Cassandra cluster. Similarly, the throughput of a Cassandra cluster is impacted by efficiency of access to flash memory(-ies) such as SATA SSD or NVMe drives. Also, compression engine performance has impact on read latency.

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Reniac’s distributed data engine can be deployed as




Increase business logic

Reniac’s analysis has shown that up to 75% of CPU cycles is spent on input/output operations, resulting in bottlenecks, leaving only 25% for business logic. These bottlenecks inhibit scaling and meeting service level agreements in some instances. In some cases customers have to pay more to meet their desired performance goals or compromise on performance.

Reniac technology can flip the script and provide up to 75% of CPU cycles for business logic while reducing I/O operations to 25%.

Speeding Up Big Data Workloads

Reniac Solution on AWS F1

Headquarters/US Office

1621 W El Camino Real, Suite 102
Mountain View, CA 94040

India Office

No: C5-202, Vindhya C4
CIE, IIIT-Hyderabad
Hyderabad – 500032

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“Reniac's innovative technology can dramatically change the CPU usage of many common features, enabling unprecedented scale in a modern data driven world.”

Jean-Luc Vaillantformer CTO / Co-founder, LinkedIn

“We needed a provider to help us quickly scale and handle billions of transactions. Reniac's groundbreaking approach not only enables us to achieve more scale while leveraging existing servers but also gives deeper operational visibility at each node.”

VPTechnical and Data Operations, leading digital advertising company

“Reniac has taken a unique approach to accelerating data workloads for server infrastructure and database clusters. Reniac's software can provide a throughput increase of up to 10x vs. alternative implementations. In addition, the company’s solution requires no code changes, allowing a seamless transition for customers to easily take advantage of Intel FPGA and advanced memory technologies.”

John SakamotoVice President Programmable Solutions Group and General Manager Data Center and Communications Division, Intel

“As FPGAs continue to enter mainstream, Cassandra users look forward to increased performance for demanding workloads and look to solutions to upgrade their existing systems. Reniac provides promising innovations for the community.”

Matt PfeilCo-founder, Datastax
April 9, 2018 in Meetup, News

rENIAC hosting Meetup at Intel

This week Reniac will be hosting its first meetup at Intel.  We will be discussing our experiences in building a low-latency, high-throughput data acceleration engine for NoSQL databases, in particular for…
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January 24, 2018 in Data Day, News

Data Day Texas 2018

Reniac CTO, Chidamber Kulkarni and Sr. Diretor Engineering, Prasanna Sukumar is giving a talk about Reniac Hardware Accelerators for NoSQL databases Outline: In this talk, we will discuss our experiences…
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December 15, 2017 in Announcements, News

Reniac Announces Investment by Intel Capital

Reniac announces Intel Capital investment to simplify acceleration of Data Center workloads in public and private cloud" with link to PR. Read the announcement
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