The tools behind the platforms we build

What each tool is genuinely good at, where it fits in an enterprise architecture, and when we would tell you to use something else.

A data catalogue that records what data exists and observes how it is actually queried to inform what it shows.

An AWS business intelligence service that builds dashboards over data either queried directly or held in its own memory engine.

An AWS service for collecting streaming records continuously and making them available to consumer applications.

An open source platform for moving data between sources and destinations, with connectors you can also build yourself.

A tool where data preparation and analysis are built by dragging tools onto a canvas and connecting them into a workflow.

A query service that runs SQL against files in Amazon S3 without any infrastructure being provisioned.

An AWS platform for running open source big data frameworks such as Spark, Hive and Presto on managed clusters.

A managed key value and document database from AWS where servers are not provisioned and capacity is a setting.

An observability platform covering data quality, pipeline behaviour and the performance of the systems underneath.

Not sure which tool fits your problem?

We will tell you when the answer is the one you already have.