Apache IoTDB vs kdb+

Apache IoTDB9.3Visit kdb+8.9Visit

Higher score Apache IoTDB #1 in Time-Series Databases 9.3/10 Open source ✓ 3 of 3 features Visit Apache IoTDB

vs

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

• Apache IoTDB fits best

  IoT data with SQL and many ingestion options

• kdb+ fits best

  High-performance financial time-series processing

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Side by side

Feature	Apache IoTDB 9.3/10 Visit ↗	kdb+ 8.9/10 Visit ↗
At a glance
Editor score	9.3	8.9
Ranking	#1 in Time-Series Databases	#4 in Time-Series Databases
Best for	IoT data with SQL and many ingestion options	High-performance financial time-series processing
Pricing model	Free	Paid
Starting price	Open source	Pricing on request
Free plan	Not checked yet	Not checked yet
Free trial	—	—
Deployment	Cloud, Self-hosted, Desktop	Cloud, Self-hosted
Platforms	Web, Windows, Linux	Windows, macOS, Linux
Support	Community, Docs	Community, Docs
Integrations	4 integrations	17 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Apache IoTDB 3/3 · kdb+ 3/3
SQL support	✓	✓
Retention policies	✓	✓
Horizontal scaling	✓	✓
Specs
Deployment	Both	Both
Query languages	IoTDB-SQL; Tree Mode SQL; Table Mode SQL	q, q-SQL
Ingestion methods	INSERT SQL; Java JDBC; Java, C++, Python, and Go native APIs; REST API; MQTT; CSV; TsFile	tickerplant, feed handlers, batch mode, TCP/IP, Apache Kafka, Python, Java, C
Our review
Pros	High-throughput real-time and batch ingestion across multiple interfaces SQL with tree and table models, filtering, aggregation, and grouping TTL retention, cluster scaling, and broad analytics integrations	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	Self-managed deployment places operations and maintenance on the organization Uses IoTDB SQL dialects rather than a single conventional SQL model Its broad ingestion and integration surface may exceed smaller IoT projects	Self-hosted deployment requires infrastructure ownership Closed-source licensing limits source-level customization Pricing requires contacting sales
Our verdict	Apache IoTDB is an open-source, IoT-native time-series database for organizations managing large volumes of device and sensor data. It suits industrial use cases across energy, transportation, aerospace, manufacturing, and general IoT… 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

• Apache IoTDB — where it wins

  • High-throughput real-time and batch ingestion across multiple interfaces
  • SQL with tree and table models, filtering, aggregation, and grouping
  • TTL retention, cluster scaling, and broad analytics integrations

  Where it doesn't

  • Self-managed deployment places operations and maintenance on the organization
  • Uses IoTDB SQL dialects rather than a single conventional SQL model
  • Its broad ingestion and integration surface may exceed smaller IoT projects

• 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

• Apache IoTDB9.3/10 · Open source

  A focused open-source choice for high-volume IoT ingestion, SQL, retention, and scaling.

  Visit Apache IoTDBFull verdict →
• kdb+8.9/10 · Pricing on request

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

  Visit kdb+Full verdict →