Lightweight Data Gateway
Access back-office data behind the firewall securely using our patented on-premises connector that can be optionally deployed in the DMZ or behind the corporate firewall. Get trusted hybrid data access without requiring major network/firewall configurations such as setting up a VPN or SSH tunneling.
Hybrid Data Pipeline can be deployed in cloud and enterprise environments across multiple nodes behind a load balancer. Incoming requests can be evenly distributed across cluster nodes.
Get real-time connectivity to the latest SaaS, SQL, Big Data and NoSQL data sources such as Salesforce, Apache Hive, Amazon Redshift, Oracle, SQL Server, IBM DB2, Eloqua, Google Analytics and more.
SeeHide supported data sources
Amazon EMR Hive
Apache Hadoop (Apache Hive)
Cloudera CDH Hive
IBM BigInsights Hive
Pivotal HD Hive
Relational and Analytics
Microsoft SQL Server
Microsoft Dynamics CRM
Microsoft SQL Azure
Oracle Sales Cloud
Oracle Service Cloud
All customer-sensitive data elements (including remote credential or database pairings stored) are protected by encryption, both at rest (AES-256) and in transit. Our encryption algorithms can be made FIPS-140 compliant using the FIPS Compliance mode (leverages Bouncy Castle as the security provider). Read our security paper.
Integrate with Existing Authentication Systems
Hybrid Data Pipeline supports external authentication through a configurable Java Plug-in. Enterprises can authenticate users against any of their in-house authentication systems that may be using LDAP system, Windows (Kerberos), SAML/ADFS authentication or any other authentication service. You can even group multiple external authentication users to map to one Hybrid Data Pipeline user to get access to data sources.
Limits API allows administrators to set limits on how many rows can be returned for ODBC, JDBC, and OData requests. An error is returned if an application fetches rows beyond the specified limit.
Data APIs over HTTPS
A data API management layer provides standard SQL (ODBC, JDBC) or REST (OData) interfaces to support the needs of the new technical data consumers - data engineers, data scientists and business analysts.