When selecting a time-series database, organizations may compare TigerData’s PostgreSQL familiarity and KX’s specialized performance architecture. While TigerData extends PostgreSQL for time-series workloads, KX delivers real-time predictive analytics for the most demanding challenges.

Key differentiators: KX vs. TigerData

KX: Engineered as a columnar, in-memory analytics platform, KX offers native streaming capabilities and nanosecond timestamp precision. It’s built specifically for time-series analysis with proven performance at handling billions of live events and trillions of historical records. KX delivers consistent sub-millisecond response times with minimal hardware footprint through compute-efficient design.

TigerData: An open-source database that combines keyword and vector search, TigerData requires external tools for sophisticated analytical operations beyond basic SQL aggregations. Basic querying does not allow for proactive issue resolution or strategic planning.

How KX and TigerData Compare

Survival of the fastest with KX

In only a few microseconds, KX transforms streams of raw data into actionable insight, allowing businesses to react in real time to changes in the market, irregularities in operations, and trends in consumer behavior.

KX delivers exceptional ROI for organizations requiring complex analytics on large datasets, while TigerData handles standard time-series storage adequately. For demanding analytical workloads, KX’s performance advantages make it the preferred choice.

Precise, fast, and scale

• Precision: KX stores data in time order with nanosecond-precise timestamps, unlike standard databases. This enables accurate tracking of event sequences and timing relationships. For financial trading, as well as network monitoring and scientific applications, this precision is critical since even microsecond timing differences can impact important decisions.
• Speed: Regardless of query complexity or data amount, KX’s columnar storage and vectorized processing provide reliable performance. With KX’s improved engine, complex aggregations, window functions, and statistical computations, which are often taxing for traditional databases, can now run smoothly.
• Scale: KX provides an excellent choice for enormous data growth because of its distinctive approach to scalability. Extreme data volumes and real-time demands in high-throughput settings, such as capital markets, are handled by this smooth scalability.

Developer-friendly without compromise

KX balances specialized performance with developer accessibility through multiple interface options. While our native q language provides unmatched analytical power, PyKX enables Python developers to leverage KX’s capabilities without mastering new syntax. SQL interfaces allow familiar query patterns while accessing KX’s advanced functions.

This flexibility stands in contrast to the PostgreSQL limitations of TigerData, where query design, partitioning schemes, and indexing algorithms must be thoroughly understood in order to optimize performance. As size increases, this complexity rises dramatically.

Built for large enterprises

Three decades of continuous innovation in high-performance analytics have established KX as the foundation for the world’s most demanding data environments. Major financial institutions, telecommunications providers, and technology companies rely on KX for applications where system failures or performance degradation carry significant business consequences.

KX’s enterprise-grade features offer many cost benefits and provide the reliability needed without the maintenance and hidden costs of open-source systems.

Success stories

• Significantly faster query performance on complex time-series analytics compared to traditional databases
• Substantial reduction in infrastructure costs through efficient resource utilization and data compression
• Real-time decision-making capabilities with low-latency streaming data analysis
• A single platform that eliminates the need to manage multiple separate database systems

Schedule your demo with KX

Experience the performance difference firsthand. Our team will demonstrate KX’s capabilities using your data patterns, showing concrete improvements and analytical capabilities beyond traditional time series databases.
Book a demo to see KX’s complete package of enterprise-grade features.