4 Open Source Alternatives To Kdb+

InfluxDB is a purpose-built platform designed for handling time series data at scale. It enables users to collect, store, query, and visualize data in real-time, making it ideal for monitoring and analytics across various industries and use cases.

• Single Datastore: Run analytics across multiple workload types with a single purpose-built platform.
• Columnar Design: Scales without limits with built-in storage and query performance optimization.
• Native SQL: Query directly with InfluxDB using standard SQL.
• Real-Time Query: Sub-second query response on leading-edge data.
• Unlimited Cardinality: Analyze billions of time series data points per second without limitations or caps.
• Superior Data Compression: Maximize data compression to store more data at a fraction of the cost.

InfluxDB's commitment to open source ensures a robust, community-driven development process, making it a trusted choice for developers and enterprises alike.

TDengine™ is a time-series database purpose-built for Industry 4.0 and Industrial IoT (IIoT). It enables real-time ingestion, storage, analysis, and distribution of petabytes of data per day, generated by billions of sensors and data collectors. With TDengine making big data accessible, valuable, and affordable, digital transformation has never been easier.

• High Performance: TDengine can store and process massive datasets up to 10.6x faster than other time-series databases, providing split-second latency for real-time visualization and reporting.
• Scalability: Its distributed scalable architecture grows with your business, ensuring that you can handle increasing data volumes seamlessly.
• Cost-effective Storage: TDengine offers tiered storage, S3 integration, and 10:1 data compression, making it the most cost-effective solution for storing operations data.
• Data Consolidation: With built-in connectors for MQTT, Kafka, OPC, PI System, and more, TDengine provides zero-code data ingestion and ETL in a centralized platform.
• Comprehensive Solution: Beyond a time-series database, TDengine includes data subscription, caching, and stream processing, accessible through familiar SQL statements.
• Deployment Flexibility: Deploy TDengine on the edge, on a local server, or in a public, private, or hybrid cloud.
• Fully Managed Cloud Service: Run your industrial data workflows in TDengine's fully managed cloud service, simplifying operations and reducing overhead.

TDengine is designed to help traditional industries achieve digital transformation and improve operational efficiency. It centralizes, stores, analyzes, and shares massive amounts of industrial data, enabling you to scale your operations for Industry 4.0. Trusted by industry leaders like Siemens, TCL, and Mingyang, TDengine is the ideal data backbone for powering IIoT initiatives across various sectors.

QuestDB is the world's fastest growing open-source time-series database, designed to handle massive ingestion throughput and millisecond-level queries. It offers powerful time-series SQL extensions and scales seamlessly from minimal to maximal hardware configurations, making it an efficient and cost-effective solution for time-series data management.

• High Performance: QuestDB sustains blistering throughput even with high data cardinality, ensuring hyper ingestion rates.
• Time-Series Optimized SQL: Features like SAMPLE BY, LATEST ON, and ASOF JOIN make time-series data manipulation intuitive and efficient.
• Developer-Friendly: Integrates seamlessly with popular tools like Postgres, Grafana, Kafka, Python, and more.
• Cost-Efficient: Runs efficiently on low hardware, such as a 4GB Raspberry Pi, while scaling up to handle millions of rows per second on robust hardware.
• Community and Support: Highly rated by users on platforms like G2, with an active Slack community and responsive core developers.

QuestDB is built by developers for developers, providing a unique solution that combines extreme transaction per second (TPS) capabilities with a simplified SQL interface. Whether you're dealing with real-time market data or large-scale IoT applications, QuestDB offers unmatched performance and efficiency.

TimescaleDB is an open-source time-series SQL database that extends PostgreSQL, making it faster and more efficient for time-series and event data. It is designed to handle high volumes of data with lightning-fast ingest and querying capabilities, making it ideal for applications in IoT, finance, and more. TimescaleDB is packaged as a PostgreSQL extension, ensuring seamless integration and ease of use.

• High-Speed Ingest: Optimized for rapid data ingestion, TimescaleDB can handle high volumes of time-series data efficiently.
• Complex Queries: Supports complex queries on time-series data, enabling advanced analytics and insights.
• PostgreSQL Compatibility: Fully integrated with PostgreSQL, allowing users to leverage existing tools and extensions.
• Scalability: Built to scale with your data, TimescaleDB ensures performance remains high even as your data grows.
• Open-Source: As an open-source project, TimescaleDB offers transparency and the ability to customize the database to fit specific needs.
• AI and Vector Extensions: Seamlessly build AI agents and perform vector searches with pgvector, pgvectorscale, and pgai extensions.

TimescaleDB is the go-to choice for developers seeking a powerful, scalable, and efficient time-series database solution. Its seamless integration with PostgreSQL and extensive feature set make it a versatile tool for various industries, including IoT, finance, and more.