Regardless of your existing tools, data issues shouldn’t worry you: Focus on creating value instead

Use our data for various technologies, tools, and platforms:

  • Marketing technologies (see below)
  • Data stacks (see below)
  • Amazon Web Services / AWS (see below)
  • Google Cloud Platform / GCP (see below)
  • Microsoft Azure Cloud (see below)

DaaS is like SaaS, but for data. Everything is done for you:

  • We collect your event data (implementation included)
  • We handle issues with your data
  • We monitor and validate your data
  • We optimize your data for usability

We guarantee quality event data to support your use cases.

Use our Data as a Service for your marketing technologies

Digital analytics solutions, for example:

  • Google Analytics, Adobe Analytics, Snowplow Analytics, Mixpanel, Segment, Matomo, Posthog, etc.

Ads and affiliate platforms, for example:

  • Google Ads, Facebook Ads, Bing Ads, TikTok Ads, Commission Junction, Awin, Rakuten, etc.

Tag managers, for example:

  • Google Tag Manager / GTM, Adobe Tag Manager / Launch, Commanders Act, Jentis, Tealium, etc.

Use our Data as a Service for your self-hosted and/or open-source data stacks

We love open source! In addition to proprietary cloud platforms, we support many open-source technologies, for example:

  • Apache Kafka
  • Apache Pulsar
  • RabbitMQ
  • PostgreSQL
  • MySQL / MariaDB
  • MongoDB
  • Snowplow Analytics
  • etc.

Use our Data as a Service for Amazon Web Services / AWS services

AWS is constantly evolving, but our goal is to support all data consuming services, for example:

  • Redshift
  • Aurora
  • DynamoDB
  • Athena
  • Kinesis
  • Kinesis Data Firehose
  • MQ
  • etc.

Use our Data as a Service for Google Cloud Platform / GCP services

GCP is constantly evolving, but our goal is to support all data consuming services, for example:

  • BigQuery
  • Cloud SQL
  • BigTable
  • Pub/Sub
  • AlloyDB for PostgreSQL
  • Dataflow
  • Dataproc
  • etc.

Use our Data as a Service for Microsoft Azure Cloud services

Azure is constantly evolving, but our goal is to support all data consuming services, for example:

  • Cosmos DB
  • SQL Database
  • Stream Analytics
  • Synapse Analytics
  • Data Lake Analytics
  • Service Bus Messaging
  • Event Hubs
  • etc.