LindormTSDB vs kdb+

LindormTSDB9.0Visit kdb+8.9Visit

Higher score LindormTSDB #3 in Time-Series Databases 9.0/10 Paid ✓ 3 of 3 features Visit Alibaba Cloud

vs

kdb+ #4 in Time-Series Databases 8.9/10 Pricing on request ✓ 3 of 3 features Visit kdb+

• LindormTSDB fits best

  Managed compatible metrics and time-series workloads

• kdb+ fits best

  High-performance financial time-series processing

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Side by side

Feature	LindormTSDB 9.0/10 Visit ↗	kdb+ 8.9/10 Visit ↗
At a glance
Editor score	9.0	8.9
Ranking	#3 in Time-Series Databases	#4 in Time-Series Databases
Best for	Managed compatible metrics and time-series workloads	High-performance financial time-series processing
Pricing model	Paid	Paid
Starting price	—	Pricing on request
Free plan	Not checked yet	Not checked yet
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Windows, macOS, Linux
Support	Docs	Community, Docs
Integrations	4 integrations	17 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features LindormTSDB 3/3 · kdb+ 3/3
SQL support	✓	✓
Retention policies	✓	✓
Horizontal scaling	✓	✓
Specs
Deployment	Cloud	Both
Query languages	SQL, PromQL, TSDB-compatible APIs and SDKs	q, q-SQL
Ingestion methods	SQL INSERT via JDBC, InfluxDB line protocol, OpenTSDB API, Prometheus remote write	tickerplant, feed handlers, batch mode, TCP/IP, Apache Kafka, Python, Java, C
Our review
Pros	Supports SQL, PromQL, InfluxDB, OpenTSDB, and Prometheus workflows Combines compression, downsampling, retention, and hot/cold tiering Includes in-database forecasting and anomaly detection through Lindorm ML	Columnar storage with in-memory real-time processing Tickerplant, feedhandler, and partitioned historical database architecture Integrations across ODBC, Kafka, Java, Python, C, and R
Cons	Cloud deployment may not suit teams requiring self-managed infrastructure Its broad interface set may add platform decisions for smaller workloads Billing varies by region and configuration	Self-hosted deployment requires infrastructure ownership Closed-source licensing limits source-level customization Pricing requires contacting sales
Our verdict	LindormTSDB is Alibaba Cloud’s managed time-series database engine for measurement, device, IoT, telemetry, and monitoring data. It is designed for teams that need multiple ingestion and query paths rather than a single database interface.… Read the review →	kdb+ is a time-series database and analytics engine for organizations processing real-time and historical data. Its design combines columnar storage, in-memory execution, persistent databases, temporal data types, and the q programming and… Read the review →

Strengths and trade-offs

• LindormTSDB — where it wins

  • Supports SQL, PromQL, InfluxDB, OpenTSDB, and Prometheus workflows
  • Combines compression, downsampling, retention, and hot/cold tiering
  • Includes in-database forecasting and anomaly detection through Lindorm ML

  Where it doesn't

  • Cloud deployment may not suit teams requiring self-managed infrastructure
  • Its broad interface set may add platform decisions for smaller workloads
  • Billing varies by region and configuration

• kdb+ — where it wins

  • Columnar storage with in-memory real-time processing
  • Tickerplant, feedhandler, and partitioned historical database architecture
  • Integrations across ODBC, Kafka, Java, Python, C, and R

  Where it doesn't

  • Self-hosted deployment requires infrastructure ownership
  • Closed-source licensing limits source-level customization
  • Pricing requires contacting sales

• LindormTSDB9.0/10 · Paid

  A broad compatibility layer for teams managing scalable telemetry and metrics workloads.

  Visit Alibaba CloudFull verdict →
• kdb+8.9/10 · Pricing on request

  A specialized, self-hosted engine for real-time and historical financial analytics.

  Visit kdb+Full verdict →