Data platform icons

The 35 icons, described

Pipelinepipeline

A pipeline — work moving through stages in order, from data ingestion to a finished output.

Ingestioningestion

Ingestion — getting the source material loaded into a pipeline or a knowledge base.

Ingestion pipelineingestion-pipeline

An ingestion pipeline — documents go in, index entries come out.

ETLetl

ETL — extract data from a source, transform it, and load it where it will be used.

Transformtransform

Transform — data goes in one shape and comes out another, converted and reshaped.

Streamstream

A stream — data or tokens arriving continuously in real time rather than in batches.

CDCcdc

CDC — change data capture, every change streamed out as it happens.

Replayreplay

Replay — run it again from what was recorded, exactly as it happened.

Checkpointcheckpoint

A checkpoint — a model's weights saved exactly as they were at this moment in training.

Watermarkwatermark

A watermark — an invisible stamp that marks content as generated, proof of provenance.

Warehousewarehouse

A warehouse — everything shelved in columnar storage and ready to query.

Data lakedata-lake

A data lake — everything kept raw and unstructured in one place until it is needed.

Delta tabledelta-table

A Delta table — a lakehouse table that remembers every change as a version.

Icebergiceberg-table

An Iceberg table — most of the table's metadata sits under the waterline, an open table format.

Partitionpartition

A partition — the same table split into ranges or shards for scale.

Sharded indexshard-index

A sharded index — the index cut into pieces so many machines can hold it.

Indexindex-db

A database index — the B-tree lookup that makes a query fast.

Schema mapschema-map

A schema map — this field over there is that field over here, a translation between shapes.

Data contractdata-contract

A data contract — the schema both producer and consumer agreed on.

Lineage nodelineage-node

A lineage node — this table as one step in the chain that produced it.

Data qualitydata-quality

Data quality — checks that records are complete, valid and what they claim to be.

Data validationdata-validation

Data validation — records checked against the shape and rules they must satisfy.

Data anomalyanomaly-data

A data anomaly — the row that does not belong, an outlier or a wrong value.

Deduplicatededupe

Deduplicate — two of the same, with one of them dropped so only unique items remain.

Nullnull

Null — there is nothing here, an empty or missing value in the field.

Databasedatabase

A database where records are stored, indexed and queried — the system of record behind an app.

Database adddatabase-add

A database with a plus on it — add a record, or stand up another store.

Database checkdatabase-check

A database with a check on it — the store is healthy, the data verified.

Database searchdatabase-search

A database with a magnifying glass on it — query the store, look a record up.

Storagestorage

Storage — where data stays when nothing is running, persistent disk at rest.

Block storageblock-storage

Block storage — a disk volume attached to one machine like a local drive.

Storage bucketstorage-bucket

A storage bucket — object storage where you put files and blobs and forget about them.

Backupbackup

A backup — a copy of the data kept somewhere else in case the original is lost.

Restorerestore

Restore — put the backup copy back and recover what was lost.

Volume snapshotsnapshot-volume

A volume snapshot — the disk as it was at one point in time, a backup copy.

In code, each is one import — import { Pipeline } from "@iconmind/react/icons/pipeline" — and the same name in Vue, Svelte, Solid, Preact, React Native, Astro, Blade and Flutter.