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KX vs Open Source: Why High-Performing Teams Make the Switch

• Built for Scale: Delivers ultra-high performance at scale—where open-source stacks often hit bottlenecks under real-time or high-cardinality workloads.
• True Cost Advantage: While open source may be free to start, hidden costs like maintenance, tuning, and upgrades add up fast.
• Streamlined Simplicity: Eliminates the need for multiple stitched-together tools, reducing latency, complexity, and integration overhead.
• Support that Solves: Includes 1:1 global support from experts who solve real problems—not just point to community threads.
• Production-Ready by Design: Trusted by the world’s leading financial institutions for resilience, efficiency, and operational rigor.

Why Leading Teams Choose KX Over InfluxDB:

• Unmatched speed and scale for complex workloads: KX powers through high cardinality, real-time demands, and advanced analytics where InfluxDB stalls — delivering true performance at scale, not just monitoring.
• Real-time intelligence, not rearview insights: While InfluxDB shows you what happened, KX tells you what’s next with built-in event processing and predictive analytics — enabling smarter, faster decisions.
• Enterprise-ready by design: KX offers high availability, backup retention, and resilience out of the box — and is trusted by global financial leaders for mission-critical workloads like pre-trade analytics and real-time risk.

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G2	KX	InfluxDB
Ease of Admin	93%	86%
Ease of Setup	90%	89%
Has the product been a good partner in doing business?	96%	90%
Likelihood to Recommend	95%	89%
Product Direction (% positive)	89%	88%
Meets Requirements	89%	87%
Quality of Support	86%	86%

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Why Top Teams Replace ClickHouse with KX:

• Built for real-time decisions, not just dashboards: KX outpaces ClickHouse with true real-time performance, built-in streaming analytics, and predictive models that drive action — not just visualization.
• Purpose-built for time series and finance: While ClickHouse handles logs, KX dominates time-series workloads like high-frequency trading, pre-trade analytics, and real-time risk — with the precision and domain expertise ClickHouse lacks.
• Mature, AI-ready, and trusted by the world’s top banks: KX combines over a decade of leadership with powerful tools like Python, native vectors, and q — purpose-built for machine learning at scale. ClickHouse is still stretching SQL to keep up.

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G2	KX	ClickHouse
Ease of Admin	93%	70%
Ease of Setup	90%	89%
Likelihood to Recommend	94%	87%
Meets Requirements	89%	88%
Quality of Support	86%	85%
Auto Recovery	74%	73%
Data Replication	88%	80%
Data Types	96%	89%
Integrated Cache	89%	77%

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Why KX Outpaces Timescale Every Time:

• Built for real-time, not retrofitted: While Timescale extends PostgreSQL’s legacy architecture, KX was purpose-built for high-performance, real-time analytics — no add-ons, no compromises.
• Predictive intelligence at scale: Timescale stores the past; KX predicts the future. With a native “Chunks” architecture, KX delivers lightning-fast analytics and forecasting at petabyte scale — without slowing down.
• Enterprise-ready and finance-proven: Unlike Timescale’s cloud-first model, KX supports full hybrid and on-prem deployments with enterprise-grade security — and is trusted by global banks for real-time risk, quant research, and backtesting.

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G2	KX	Timescale
Ease of Admin	93%	83%
Ease of Setup	90%	83%
Likelihood to Recommend	95%	93%

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Why KX Leaves QuestDB in the Dust:

• Faster insights with faster query speed: QuestDB offers rapid data ingestion, but KX takes it a step further, delivering true real-time analytics without relying on scheduled materialization of tables for complex queries—ensuring instant, on-the-fly results.
• Enterprise-grade by design: KX goes beyond open-source speed with built-in security, role-based access, and the reliability required for mission-critical financial workflows — where QuestDB falls short.
• Purpose-built for financial dominance: While QuestDB leans on SQL, KX combines q, PyKX, and vectorized analytics to power pre-trade decisions, quant research, and real-time risk at the world’s top financial firms.

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G2	KX	QuestDB
Ease of Admin	93%	89%
Has the product been a good partner in doing business?	96%	93%
Meets Requirements	89%	89%

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Why KX Outperforms MongoDB Every Time:

• Purpose-built for real-time precision: MongoDB was designed for flexibility, not speed. KX unifies streaming, historical, and predictive analytics to deliver mission-critical decisions in microseconds — not milliseconds.
• Native time-series performance at scale: KX is built from the ground up for high-frequency, time-based data. MongoDB’s retrofitted approach struggles with scale, latency, and the consistency required in regulated industries.
• All-in-one analytics engine: While MongoDB depends on bolt-on tools, KX delivers built-in vector processing, time-series joins, and Python-native AI — empowering real-time fraud detection, predictive maintenance, and pre-trade decisions from a single stack.

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G2	KX	MongoDB
Ease of Admin	91%	81%
Ease of Setup	86%	84%
Meets Requirements	89%	88%
Ease of Use	68%	86%
Quality of Support	88%	85%
Has the product been a good partner in doing business?	95%	85%
Product Direction (% positive)	88%	91%

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