Data & Database Icons

from drawlib.canvas import save, setup
from drawlib.icons import data, original_data
from drawlib.shapes import rectangle
from drawlib.styles import Styles
from drawlib.text import text

setup(width=144, height=70)

columns = [
    (
        26.0,
        "1. Official Data Brands",
        "drawlib.icons.data (70)",
        Styles.Neutral,
        [
            ("postgresql", data.postgresql),
            ("redis", data.redis),
            ("kafka", data.kafka),
            ("snowflake", data.snowflake),
        ],
    ),
    (
        72.0,
        "2. 2D Pastel Brands",
        "original_data Twins (70)",
        Styles.PrimaryNeutral,
        [
            ("postgresql", original_data.postgresql),
            ("redis", original_data.redis),
            ("kafka", original_data.kafka),
            ("snowflake", original_data.snowflake),
        ],
    ),
    (
        118.0,
        "3. 2D Pastel Concepts",
        "original_data Exclusive (16)",
        Styles.SecondaryNeutral,
        [
            ("relational_db", original_data.relational_db),
            ("lakehouse", original_data.data_lakehouse),
            ("etl_pipeline", original_data.etl_pipeline),
            ("vector_db", original_data.vector_db),
        ],
    ),
]

for cx, title, subtitle, card_style, icons_list in columns:
    rectangle((cx, 35.0), width=42.0, height=62.0, style=card_style.patch(shape_r=2.5))
    text((cx, 60.0), title, style=Styles.DarkBold.patch(text_size=11.0))
    text((cx, 54.8), subtitle, style=Styles.Muted.patch(text_size=10.0))

    offsets = [(-9.8, 41.5), (9.8, 41.5), (-9.8, 20.5), (9.8, 20.5)]
    sub_card_style = Styles.White.patch(shape_r=1.5, line_width=0.6)
    for (dx, iy), (lbl, fn) in zip(offsets, icons_list, strict=True):
        ix = cx + dx
        rectangle((ix, iy - 1.8), width=17.6, height=17.5, style=sub_card_style)
        fn((ix, iy + 1.5), width=7.5, style=Styles.Primary)
        text((ix, iy - 6.6), lbl, style=Styles.DarkBold.patch(text_size=10.0))

save()

from drawlib.canvas import save, setup
from drawlib.icons import data
from drawlib.shapes import rectangle
from drawlib.styles import Styles
from drawlib.text import text

setup(width=148, height=64)

row1 = [
    ("postgresql", "Relational", data.postgresql, Styles.PrimaryNeutral),
    ("mongodb", "Document DB", data.mongodb, Styles.Neutral),
    ("redis", "In-Memory", data.redis, Styles.SecondaryNeutral),
    ("qdrant", "Vector DB", data.qdrant, Styles.Neutral),
    ("clickhouse", "Columnar OLAP", data.clickhouse, Styles.PrimaryNeutral),
    ("snowflake", "Cloud DW", data.snowflake, Styles.Neutral),
]

row2 = [
    ("databricks", "Lakehouse", data.databricks, Styles.Neutral),
    ("iceberg", "Table Format", data.iceberg, Styles.SecondaryNeutral),
    ("kafka", "Event Stream", data.kafka, Styles.PrimaryNeutral),
    ("flink", "Stream Engine", data.flink, Styles.Neutral),
    ("airflow", "Orchestrator", data.airflow, Styles.SecondaryNeutral),
    ("dbt", "SQL Transform", data.dbt, Styles.Neutral),
]

for row_idx, items in enumerate([row1, row2]):
    cy = 46.5 if row_idx == 0 else 17.5
    for col_idx, (name, cat, icon_fn, card_st) in enumerate(items):
        cx = 15.2 + col_idx * 23.5
        rectangle((cx, cy), width=21.8, height=25.0, style=card_st.patch(shape_r=2))
        icon_fn((cx, cy + 4.8), width=8.0, style=Styles.Primary)
        text((cx, cy - 3.4), name, style=Styles.DarkBold.patch(text_size=10.0))
        text((cx, cy - 8.2), cat, style=Styles.Muted.patch(text_size=10.0))

save()

from drawlib.canvas import save, setup
from drawlib.icons import original_data
from drawlib.shapes import rectangle
from drawlib.styles import Styles
from drawlib.text import text

setup(width=140, height=88)

rows = [
    [
        ("relational_db", "OLTP SQL Store", original_data.relational_db, Styles.PrimaryNeutral),
        ("document_db", "JSON Document DB", original_data.document_db, Styles.Neutral),
        ("key_value_store", "Key-Value Lookup", original_data.key_value_store, Styles.SecondaryNeutral),
        ("in_memory_cache", "Low-Latency Cache", original_data.in_memory_cache, Styles.Neutral),
    ],
    [
        ("graph_db", "Knowledge Graph", original_data.graph_db, Styles.Neutral),
        ("time_series_db", "Metrics & Telemetry", original_data.time_series_db, Styles.PrimaryNeutral),
        ("vector_db", "ANN Similarity Search", original_data.vector_db, Styles.Neutral),
        ("columnar_db", "Columnar OLAP", original_data.columnar_db, Styles.SecondaryNeutral),
    ],
    [
        ("data_warehouse", "Enterprise Analytics", original_data.data_warehouse, Styles.SecondaryNeutral),
        ("data_lakehouse", "Open Table Lakehouse", original_data.data_lakehouse, Styles.Neutral),
        ("etl_pipeline", "Batch & Incremental", original_data.etl_pipeline, Styles.PrimaryNeutral),
        ("cdc_stream", "Change Data Capture", original_data.cdc_stream, Styles.Neutral),
    ],
]

for row_idx, items in enumerate(rows):
    cy = 71.5 - row_idx * 27.5
    for col_idx, (title, sub, icon_fn, card_st) in enumerate(items):
        cx = 20.5 + col_idx * 33.0
        rectangle((cx, cy), width=30.5, height=24.5, style=card_st.patch(shape_r=2))
        icon_fn((cx, cy + 4.6), width=8.0, style=Styles.Primary)
        text((cx, cy - 3.4), title, style=Styles.DarkBold.patch(text_size=10.0))
        text((cx, cy - 8.2), sub, style=Styles.Muted.patch(text_size=10.0))

save()