Database Technology Adoption Stream

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'background': '#0a0a0f',
    'text': '#ffffff',
    'grid': '#333333',
}

np.random.seed(2323)
years = np.arange(2010, 2025)
n = len(years)

sql = 70 - 0.8 * (years - 2010) + np.random.normal(0, 2, n)
mongodb = 5 + 1.5 * (years - 2010) + np.random.normal(0, 1, n)
redis = 3 + 0.8 * (years - 2012) * (years >= 2012) + np.random.normal(0, 0.5, n)
postgres = 10 + 1.2 * (years - 2010) + np.random.normal(0, 1, n)
elasticsearch = 2 + 0.6 * (years - 2014) * (years >= 2014) + np.random.normal(0, 0.5, n)

data = [np.clip(d, 1, None) for d in [sql, mongodb, redis, postgres, elasticsearch]]
colors = ['#F5B027', '#6CF527', '#F5276C', '#276CF5', '#27D3F5']

fig, ax = plt.subplots(figsize=(14, 6), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])

ax.stackplot(years, *data, colors=colors, alpha=0.85, baseline='sym',
             labels=['MySQL/SQL Server', 'MongoDB', 'Redis', 'PostgreSQL', 'Elasticsearch'])

ax.axhline(0, color=COLORS['grid'], linewidth=0.5, alpha=0.5)
ax.set_xlim(2010, 2024)

ax.set_title('Database Technology Market Share', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Year', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Usage (%)', color=COLORS['text'], fontsize=11)

ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), frameon=False, 
          labelcolor=COLORS['text'], fontsize=9, ncol=5)

for spine in ax.spines.values():
    spine.set_visible(False)
ax.tick_params(colors=COLORS['text'], labelsize=9)

plt.tight_layout()
plt.subplots_adjust(bottom=0.18)
plt.show()