Building a modern data platform shouldn't be painful. Our battle-tested components help you get started quickly. Begin building your platform today.
Access. Retrieve your time series data using a an intuitive query layer using your favorite language.
Temporal. Request truly point-in-time data, use three time dimensions, get back clean and standardized data.
Independence. Provides vendor independence across: engines, datasets, warehouses, and landing-zones.
Centralized. All your platform coordinated from a central command and control center.
Note: The data must be in your posession, and you must be licensed to use this data. Our adapters simply manipulate existing data in your platform. We do not have access to data, nor we have a SaaS offering.
Ingestion. Over 100+ ready-to-use scalable data adapters for a variety of financial datasets.
Artifacts. Extract time-variant entities, relationships, and assets, into a machine readable format.
First-Class. Your entity data, matched perfectly, explored by point in time traversal or entity resolution.
Quality. Increase usable entity universe by detecting anomalies, conflicts, coverage gaps, and dubious data, measuring, and applying automated/by-hand overrides.
Building a modern data platform requires solving various problems, ranging from data ingestion, warehouse publishing, data quality checks and of course security mastering.
Create data adapters that extract data from a variety of sources with blazing speeds.
Create rich data models with hundreds of entities and relationships, empowering complex temporal graph traversals.
Store your shaped data in any data warehouse of your choice, with built-in support for Snowflake, RedShift, BigQuery, Postgres, MSSQL and MySQL.
Define and implement domain specific languages for accessing your data, exactly how you want to describe accessing it.
Persist your own data, to be queried in addition to data provided by vendors, without losing any of the temporality benefifts.
Represent real world entities as first class citizens of the system.
Persist your critical unstaged data in modern, scalable object stores, including Amazon S3, Google Cloud Storage and Azure Blob Store.
Execute your adapters and applications in different execution engines. Built-in support for Kubernetes, AWS Lambda, AWS EMR, Google Dataflow, Google Cloud Run, and more.
Master your entities data, and build a rich and temporal view of all your entities in a centralized location.
We've made it 10x easier for financial users to integrate all kinds of data into their applications, workflows, analytics, and models.