Datastreamer vs. Stitch from Talend

Datastreamer has great competency in aggregation and classification of large amounts of unstructured, conversational/social data. We perform media monitoring on social media data which is infinitely large and changing every second. Datastreamer is able to stream that high volume of complex data reliably. There are other solutions better suited for small data movement efforts. The AI models and operations set Datastreamer apart from simple web API's that only collect data and pass it on without augmenting it's value. Very appropriate for organizations looking to use this type of information to understand and classify sentiment, identify themes/insights to assist in decision making across multi-department roles in an organization: PR, marketing, security etc.

Ingestion tools make life easy to ingest new data sources. However, they are single tool in your tool box and treat them as such. They won't do your transformations nor do they (neither should they) have ability to define dependencies. They are built for making your ingestions mindlessly simple.

Incentivized

• Automate data ingestion.

Incentivized

• Users feel the UI is not as friendly

Incentivized

Stitch is much cheaper and probably simpler than tools like Fivetran. Stitch is for simpler projects and used alongside traditional ETL and writing ones own code into APIs. Fivetran is more of a overarching tool but also more expensive

Incentivized

• KPI Management
• Data Visualization
• Data sanitization/normalization
• Ease of ETL process

Incentivized