BOSS AI Integrations

Integration with most major enterprise systems enables users to rapidly integrate the BOSS platform into existing IT infrastructures and applications. 

The BOSS platform simplifies the integration process to the following:

velocity

Real-time data ingestion from existing systems

volume

Scale ETL to any data size

variety

Interconnect structured, unstructured and semi-structured data quickly

veracity

Transform data for any ML/AI workload

Value

Unify data across silos in a multi-cloud environment

security

Enforce data-level security models for all data and meeting data governance requirements “out of the box”

velocity

Real-time data ingestion from existing systems

volume

Scale ETL to any data size

variety

Interconnect structured, unstructured and semi-structured data quickly

veracity

Transform data for any ML/AI workload

Value

Unify data across silos in a multi-cloud environment

security

Enforce data-level security models for all data and meeting data governance requirements “out of the box”

The BOSS ETL framework is currently integrated with the following systems:

Amazon Web Services

In-/out-bound

Amazon S3
Amazon SQS
Amazon KINESIS
Amazon DynamoDB
Amazon Cloudwatch

Outbound-only

Amazon SNS
Amazon Lambda

Microsoft Azure

EventHub
Blob Storage
Data Lake Storage
Queue Storage
CosmosDB

Google Cloud

PubSub
Google Cloud Buckets
BigQuery

Message queues

Apache ActiveMQ
RabbitMQ
ZeroMQ
Kafka
MQTT
Java Message Services

BigData / Hadoop Systems

Sequence Files
HBase
HDFS
Hive

SQL Databases

Oracle
PostgreSQL
MariaDB

Common Services

SMTP
FTP
Samba
RELP
TCP / UDP
Syslog
WebSocket
DNS
Whois

Other

Microsoft Exchange
Email Services
Elasticsearch
Solr
MongoDB
RethinkDB
Distributed MapCache
GridFS
Couchbase
Splunk
Twitter
Cassandra
HTML / HTTP / REST Services
SAP Hana
Snowflake
SalesForce
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