AI TOOL PROFILE
Datastreamer: Data Orchestration for Social and Web Data
- Data and Analytics
- Data Integration
- Data Engineering teams
- Data Science teams
- Intelligence software developers
- Business leads in MarTech and Risk platforms
Pricing
Datastreamer uses a monthly-based model with costs tied to data volume (document-based). No onboarding or migration fees are charged.
At a glance
- Best for
- Data Engineering teams, Data Science teams, Intelligence software developers, Business leads in MarTech and Risk platforms
- Key use cases
- Threat Intelligence, Market Prediction, Social Listening, MarTech Signal Detection
- Integrations
- ElasticSearch, Google Cloud, Fivetran, Databricks, Snowflake
- Official website
- Visit Datastreamer official website
How AI is used
Datastreamer is a managed data orchestration platform for companies that build intelligence tools based on social and web data. It provides tools to collect information from various sources, standardize it into common schemas, and apply AI-driven enrichments before sending the data to a destination database.
The platform is designed for data engineers and business leads in sectors like threat intelligence, market prediction, and MarTech. Using a no-code visual builder, teams can design data workflows and deploy them to help reduce manual integration work.
Buyers should note that the tool focuses on unstructured external web data rather than internal business data. It is designed to function as the infrastructure for other software products, making it a fit for organizations building their own data-driven applications.
Key Features
Dynamic Pipelines
A no-code visual builder used to design, connect, and deploy data workflows.
Unify Capabilities
Standardizes data from different sources into common schemas to help prevent structural drift and format mismatches.
AI and NLP Enrichments
Provides over 100 ready-to-use models for sentiment classification, entity recognition, and location inference.
Multi-source Data Handling
Supports the aggregation of data from social platforms, review sites, forums, and search engine results.
Add-On Registry
A partner network that allows users to source and connect third-party data and LLM providers.
Use Cases
Threat Intelligence
Supports the real time processing and enrichment of OSINT data.
Market Prediction
Aggregating and enriching high-volume data from multiple web sources.
Social Listening
Integrating social data feeds for end-user features and trend analysis.
MarTech Signal Detection
Using intention and demographic augmentation to identify market signals.
Integrations
- ElasticSearch
- Google Cloud
- Fivetran
- Databricks
- Snowflake
- Socialgist
- Vetric
- DarkOwl
- Bright Data
- Amazon S3
- Azure Blob Storage
- Cloudflare R2
FAQ
What data sources does Datastreamer support?
- It supports social platforms, review sites, forums, SERP data, and trend tools, handling both structured and unstructured inputs.
How does the platform handle different data formats?
- Datastreamer uses a feature called Unify to abstract different sources into a common schema, which helps prevent format mismatches in downstream systems.
Is Datastreamer a self-hosted or managed service?
- It is a fully managed service, which means there is no infrastructure for the user to deploy or maintain.
How is Datastreamer priced?
- Pricing is based on a monthly model with costs determined by data volume (documents processed).
Source category: Data & Analytics
Source subcategory: Data Integration
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