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CFLT
Confluent, Inc. · Information Technology - Data Streaming
N/A
N/A this month
VERSUS
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MDB
MongoDB, Inc. · Information Technology - Database Platform
$332.75
-0.58% this month
Scoreboard verdict
Across AI score, momentum, valuation, upside, operating margin
CFLT
0
MDB
0
Comparison scoreboard
MIXED SETUPAI Score
CFLT N/A
MDB 57.2
1Y Return
CFLT N/A
MDB +62.99%
Fwd P/E
CFLT N/A
MDB 45.34
Target Up.
CFLT N/A
MDB +18.61%
Op. Margin
CFLT N/A
MDB N/A
Metrics last refreshed: 6/20/2026
Quick take
CFLT vs MDB Stock Comparison: AI Score, Valuation, Performance and Upside
CFLT and MDB are both modern cloud data infrastructure companies serving different data management needs — Confluent for real-time streaming data pipelines and event-driven architectures, MongoDB for flexible application database storage and retrieval. Both are well-positioned for AI-driven application development trends.
CFLT vs MDB compares two modern cloud data platforms: Confluent's real-time streaming infrastructure versus MongoDB's flexible document database, both serving the data backbone needs of modern application development.
Live analysis · updated 6/20/2026
CFLT and MDB are closely matched — they split the tracked metrics evenly.
Normalized 1Y performance
CFLT
MDB
Not enough data to chart yet.
Recent returns
CFLT
MDB
Analyst price targets & sentiment
CFLT
Price target data unavailable
N/A
MDB · 36 analysts
STRONG BUYHOLDSTRONG SELL
Buy (1.6/5.0)
Price target range
analyst low$272.64
analyst high$545.00
analyst mean$394.68
current price$332.75
+18.6% upside to analyst mean
Who should consider this stock?
CFLT may suit investors who:
- →Want exposure to real-time data streaming infrastructure built on the Apache Kafka standard
- →Believe AI and event-driven application architectures will drive sustained demand for streaming platforms
- →See Confluent as essential middleware for connecting real-time data across enterprise systems
MDB may suit investors who:
- →Want exposure to a leading cloud database platform with strong developer adoption and AI application positioning
- →Value MongoDB Atlas's flexible document model for modern application development needs
- →Believe vector search and AI-native database features will drive continued platform expansion
Performance & AI score
| Metric | CFLT | MDB |
|---|---|---|
| AI score | N/A | 57.2 |
| AI rank | N/A | #218 |
| Latest close | N/A | $332.75 |
| 1M return | N/A | -0.58% |
| 6M return | N/A | -19.30% |
| 1Y return | N/A | +62.99% |
$10,000 invested — hypothetical growth (dividends reinvested)
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | CFLT | MDB |
|---|---|---|
| 1Y ago | N/A | $16.3K (+63.0%) started 2025-06-18 |
| 5Y ago | N/A | $8.66K (-13.4%) started 2021-06-18 |
| 10Y ago | N/A | $103.76K (+937.6%) started 2017-10-19 |
Hypothetical — past performance does not guarantee future results.
Valuation & upside potential
| Metric | CFLT | MDB |
|---|---|---|
| Market cap | N/A | $26.76B |
| Trailing P/E | N/A | N/A |
| Forward P/E | N/A | 45.34 |
| Price/Sales | 9.54 | 10.28 |
| EV/Revenue | N/A | 9.87 |
| Analyst target | N/A | $394.68 |
| Target upside | N/A | +18.61% |
Growth, profitability & risk
| Metric | CFLT | MDB |
|---|---|---|
| Revenue growth | N/A | 25.20% |
| Earnings growth | N/A | N/A |
| EPS growth | N/A | N/A |
| FCF margin | N/A | +19.89% |
| Operating margin | N/A | N/A |
| Profit margin | N/A | -1.12% |
| ROIC proxy | N/A | -0.97% |
| Return on equity | N/A | -0.97% |
| Dividend yield | N/A | 0.00% |
| Beta | -0.30 | 1.55 |
| Debt/equity | N/A | 2.00 |
| Current ratio | N/A | 4.95 |
| Quick ratio | N/A | 4.55 |
Drawdown & downside risk
Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.
1Y risk snapshot
CFLT max drawdownN/A
MDB max drawdown48.72%
CFLT max wkly dropN/A
MDB max wkly drop21.59%
5Y risk snapshot
CFLT max drawdownN/A
MDB max drawdown76.52%
CFLT max wkly dropN/A
MDB max wkly drop33.71%
10Y risk snapshot
CFLT max drawdownN/A
MDB max drawdown76.52%
CFLT max wkly dropN/A
MDB max wkly drop33.71%
Performance metrics by period
| Period | Metric | CFLT | MDB |
|---|---|---|---|
| 1Y | Growth | N/A | +62.99% |
| CAGR | N/A | +63.05% | |
| Sharpe ratio | N/A | 0.96 | |
| Max drawdown | N/A | 48.72% | |
| Max daily drop | N/A | 22.24% | |
| Max wkly drop | N/A | 21.59% | |
| 5Y | Growth | N/A | -13.35% |
| CAGR | N/A | -2.83% | |
| Sharpe ratio | N/A | 0.24 | |
| Max drawdown | N/A | 76.52% | |
| Max daily drop | N/A | 26.94% | |
| Max wkly drop | N/A | 33.71% | |
| 10Y | Growth | N/A | +937.57% |
| CAGR | N/A | +31.01% | |
| Sharpe ratio | N/A | 0.67 | |
| Max drawdown | N/A | 76.52% | |
| Max daily drop | N/A | 26.94% | |
| Max wkly drop | N/A | 33.71% |
Business comparison
| Category | CFLT | MDB |
|---|---|---|
| Company | Confluent, Inc. | MongoDB, Inc. |
| Sector | Information Technology - Data Streaming | Information Technology - Database Platform |
| Industry | N/A | N/A |
| Core business | Confluent provides a cloud-native data streaming platform built on Apache Kafka, enabling organizations to build real-time data pipelines, event-driven applications, and streaming analytics across their entire data infrastructure. | MongoDB provides a flexible document-oriented database platform used by developers to store, query, and process diverse data structures, with its Atlas cloud database service increasingly serving as the core of modern application backends. |
| Investor focus | Investors track Confluent's cloud revenue growth (the faster-growing, higher-margin portion), total revenue and consumption trends, and the development of the Flink stream processing capabilities as part of its platform. | Investors track MongoDB Atlas cloud revenue growth, monthly active customers on Atlas, net new Annual Recurring Revenue, and the platform's expansion into AI-relevant workloads including vector search for AI application development. |
CFLT strengths
- →Created and leads the commercial ecosystem around Apache Kafka — the industry standard for high-throughput real-time data streaming
- →Confluent Cloud enables organizations to consume streaming data without managing Kafka infrastructure themselves
- →Real-time data streaming is increasingly essential infrastructure for AI applications, financial systems, and event-driven architectures
MDB strengths
- →Leading developer-facing database platform with MongoDB Atlas providing a fully managed cloud service
- →Document model flexibility makes MongoDB well-suited for modern application development with diverse, evolving data structures
- →Vector search capabilities position MongoDB as an infrastructure layer for AI application development
Risks to watch — CFLT
- →Confluent Cloud revenue is driven by consumption rather than fixed subscriptions, creating revenue variability with customer usage patterns
- →Must continue proving the value of its commercial platform versus self-managed Kafka
- →Faces competition from cloud providers (AWS Kinesis, Azure Event Hubs) offering streaming as part of their native cloud services
Risks to watch — MDB
- →Database market is highly competitive with AWS DynamoDB, Google Firestore, and relational databases from all cloud providers
- →Atlas growth has moderated from earlier hyper-growth as the market becomes more competitive
- →AI application workloads may shift some query patterns toward more specialized vector or graph databases
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