No more conforming your data to restrictive data models. Collect and integrate all your data – batch and streaming – without rigid schemas so you can democratize and activate data for every team.
Treasure Data gives us enterprise-grade scale … Treasure Data CDP is the only platform we’ve found that will handle that scale of data collection as quickly and flexibly.”
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We adapt to your data – not the other way around
Our schemaless data approach means your behavioral and customer attribute data can come from any source, in any format. No preprocessing is required, shedding hours spent cleaning and preparing data.
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No data left behind
Collect all data – batch and streaming – using APIs, SDKs, and 400+ pre-built integrations to commonly used marketing, ad, and data platforms. Need an integration that’s not in our library? We staff dedicated engineers to build new integrations in under two weeks, and ensure all connectors run smoothly.
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Go beyond first-party data
Enrich first-party data data with second- and third-party data. Sources such as statistics, income, POS, and demographics build richer profiles and give you a deeper understanding of your customers.
What makes us different
Built for big data
Treasure Data separates storage and compute, enabling higher performance at lower cost. Think millions of records ingested and billions of records processed per second. Big data is our foundation.
Flexible for you
Our CDP supports any ecosystem, use case, and team that needs trusted data. Our unique schemaless approach to data ingestion supports high-velocity streaming data and lets you define the data transformation your business needs.
No retention limits
Store all your data on our scalable, secure data foundation – as long as you want. See how a historical context of your customers translates to more consistent, personalized customer experiences in the long run.
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Over 400 integrations for customer data collection and activation
Data in. Data out. All the batch and real-time customer data integrations you need to move data from source to destination.
Yes. Our CDP is built on our proprietary big data platform and can ingest and store all data types. Treasure Data can ingest structured, semi-structured, or unstructured data into its platform. Supported data types include:
String
INT
Long
Float
Double
An array of (strings, INTs, longs, floats, doubles)
An array of arrays of (strings, INT, longs, floats, doubles)
Schemaless ingestion is highly valuable because of the typical high velocity of streaming data from websites, devices, applications, and systems, and the need to adapt to frequent data model updates in source systems Meta and Google that update the data/API response schema frequently.
It also drastically reduces the coding and maintenance required for the platform to build and maintain schema and continuously repairs broken pipelines in response to changes to a schema. We also allow our customers to change schema, fields, and table names after data is ingested if needed.
There are no restrictions on how long data can be retained in Treasure Data. The customer has complete control over the expiration and deletion of its data and can define a data retention policy. We provide delete features that can be used by the customer to purge specific data for custom time frames.
Additionally, an automatic expiration option is available at the table level. We also offer functionality that allows customers to publish their data purging rules, automating the deletion process.
Customers can apply import integration filters when performing data collection jobs from common data sources such as S3, FTP, or SFTP. These filters can be used during import to modify incoming data, and to add/drop/retain columns, expand JSON columns, or mask column data.
For more complex data transformations, customers can use Treasure Data Workflow, query engine, and Python custom script capabilities to define custom steps for tasks such as data cleansing, enrichment and aggregation, and attribute mapping.
