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Synchronized Data Integration for Hybrid Cloud

Flexible. Hyper-Connected. Policy Based.


Digital business means more data in more places on more platforms connected at ever increasing speed. As database architects accelerate use of public cloud they are constrained by legacy data integration tools, learning rapidly evolving cloud technology, and security concerns. The platform enables data portability for hybrid cloud operations, real-time cloud analytics, and connecting clouds to edge computing while securing private data.

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of enterprise workloads will be in the cloud by 2020

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of Oracle users need data synchronization between cloud & on-premise

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of organizations today completely trust public clouds to keep data secure

A Smart Grid for Enterprise Data is a resilient scale-out grid platform that synchronizes data across any topology or database platform on any cloud. A policy engine controls flexible definition of what data is filtered, masked, or transformed in transit. The grid guarantees transactional data is always consistent and recoverable from failures.

Smart Grid Enterprise Data

Pluggable end-points

Built on existing change data capture logs within minimal database overhead. Includes pre-built connectors and SDKs for relational, big data, and cloud-native services.

Transaction grid

Resilient & secure scale-out architecture that guarantees transactional consistency. The grid allows flexible 1:1, 1:N, and N:M topologies.

Policy engine

Declarative policy language is used to easily configure topology & intelligent grid services without service disruption.

Run-anywhere SaaS platform with on-boarding in minutes

Self-service platform available on AWS, Google Compute Engine, or VMware Cloud that connects to your on-premise data. Easy and secure on-boarding using your public cloud credentials, VPN, and out-of-the box templates. On-premise containerized deployments available on request.

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Step 1

Sign up and download install script

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Step 2

Install grid infrastructure in the cloud using script

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Step 3

Configure the transaction grid using a graphical UI

Synchronize on-premise data to public clouds

Migrate on-premise databases and gradually
re-factor for cloud-first architecture or feed live enterprise data into cloud-native applications.

Cloud apps complementing on-premise
Cloud Re Engineering Existing Data
Cloud Apps Complementing On Prem

Continuous synchronization between different database types

Choose one or more destination database types for each source. Convert to a new relational database,
cloud-native service, or big data platform. Initial database clone is automatically created and synchronized to current state for a transactionally consistent copy.


Your choice of topologies

Easily deploy a variety of topologies using templates for your use case. Modify topologies or add and remove nodes without service disruption. High availability and scalability options are available.

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Topoligy Migration
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Topology Operational

Customized selective data synchronization

Selectively filter, mask/encrypt, or transform data at the schema, table, row, or column level without impacting source data. Customizations can be applied at source or destination to reduce network traffic or to enforce security policies.

Customized Data Synchronization 2

Declarative policy language

Use a powerful and expressive policy JSON-like language to define topology, selective data, masking, and transformations. Policies can be hierarchically nested, applied to tags to group similar data, and dynamically updated without service interruption.


Intuitive visual topology and policy designer

Create new policies or topologies in minutes without writing any code. Database nodes can be easily added or removed without service disruption. A graphical schema explorer enables easy definition and iterations of advanced policies.

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Use Cases

Hybrid cloud operations with data portability

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Migrate and re-factor databases for cloud-first architecture, or synchronize data with cloud innovation projects. Never be locked-in to a cloud platform, saving as much as 75% of your cloud costs.

Real time analytics in the cloud with consistent synchronized clones

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Select and mask data from systems of record to feed big data platforms while transforming data in transit. Safely automate actions for fraud detection or customer engagement while eliminating sprawl of dozens of redundant copies of regulated data.

The story is a San Jose, CA based SaaS startup that closed Series A funding in 2017 from August Capital, Artiman Ventures, and Carsten Thoma, founding CEO of Hybris (acquired by SAP).

The concept was conceived by Rajeev Bharadhwaj, a serial entrepreneur with a vision to create a globally synchronized enterprise. He made a key decision to build-on vs. replace traditional databases and develop a new approach for synchronous data integration.

After identifying the Databus open source project at LinkedIn as a foundational technology, he recruited Chavdar Botev, the primary architect of Databus, and Burton Hipp, who co-founded a prior startup with Rajeev. Together they created the first product, proved the technology at design partners, and recruited Robin Purohit as CEO, a software industry veteran known to the team from VERITAS and HP.

We are excited to reveal the cloud-first platform and easy to use SaaS offering that will be a disruptive force in the $15 billion hybrid integration platform market.

Robin Purohit, CEO,

A team of experienced enterprise innovators

Robin Purohit

Robin Purohit

CEO and Board Member
Rajeev Bharadhwaj

Rajeev Bharadhwaj

VP of Technology & Operations, Founder/Board Member
Chavdar Botev

Chavdar Botev

Chief Scientist, Founder
Burton Hipp

Burton Hipp

VP of Engineering, Founder
Brian Wilcove

Brian Wilcove

Investor, Artiman Ventures & Board Member
Villi Iltchev

Villi Iltchev

Investor, August Capital & Board Member
Carsten Thoma

Carsten Thoma

Investor, Founder of Hybris (sold to SAP)

Learn More

White paper

The architecture

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Solution brief

The SaaS Product Overview

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White paper and Apache Kafka

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White paper and Oracle GoldenGate

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Lead Status
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