KairosDB
KairosDB is a powerful time series database built on Cassandra, enabling efficient data storage and retrieval. It supports data input through various protocols such as Telnet, Rest, and Graphite, while also allowing custom extensions via plugins. Its API facilitates metric management, including querying, aggregating, and monitoring performance metrics effectively.
Top KairosDB Alternatives
StackScan
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Heroic
Heroic is an advanced open-source monitoring system designed for efficient large-scale metric gathering and near real-time analysis. It features indefinite data retention based on hardware capacity, federates multiple clusters for streamlined access, and offers a powerful API for querying, aggregating, and visualizing multi-dimensional time series data effectively.
OpenTSDB
OpenTSDB is a powerful time series database designed to handle vast amounts of metrics from various systems, such as MySQL and Apache HTTPd. With its highly optimized data schema, it facilitates rapid aggregations and versatile visualizations. The latest version enhances functionality by allowing non-numeric annotations for improved metadata tracking.
Hawkular Metrics
Hawkular Metrics is a highly scalable, asynchronous time series database designed for multi-tenant environments. Utilizing Cassandra for storage and a RESTful API for easy integration, it provides robust metric handling features, including flexible tagging, automated data retention, and efficient querying capabilities.
Blueflood
Blueflood is a robust distributed metric processing system designed for high throughput and low latency. Utilized by the Rackspace Monitoring and public cloud teams, it efficiently stores and processes time-series data. Users can quickly query metrics and generate visualizations, while backend rollups enhance performance for extensive data inquiries.
Cortex
Cortex enables organizations to store data beyond the lifespan of individual machines, facilitating long-term capacity planning. By optimizing PromQL queries through aggressive parallelization and caching, it provides a global view of time series data across clusters, enhancing analytical capabilities while supporting seamless monitoring of dynamic microservices environments.
OneTick
OneTick serves as a premier enterprise-wide solution for high-performance tick analytics and data management. Designed for hedge funds, banks, and brokerages, it offers a unified platform that integrates real-time streaming analytics and comprehensive data handling. With no limitations on data volume or history, it empowers users to perform advanced simulations, develop trading strategies, and ensure regulatory compliance efficiently.
Circonus IRONdb
Circonus IRONdb is a powerful time series database designed to effortlessly manage vast amounts of telemetry data, capable of handling billions of metric streams. Its advanced analytics features enable real-time insights, predictive modeling, and automated anomaly detection. With robust clustering capabilities, users can focus on operations without the burden of extensive data management. Integrating seamlessly with Grafana and other visualization tools, IRONdb ensures data security and accessibility, making it an essential resource for dynamic data environments.
SiriDB
SiriDB is an open-source time series database designed for exceptional speed and scalability, ideal for cloud-based solutions. It features a robust clustering mechanism to handle massive workloads without downtime, ensuring seamless updates. With a custom query language and support for various programming languages, SiriDB accelerates development and enhances productivity.
QuestDB
The world's fastest growing open-source time-series database, QuestDB excels in hyper ingestion and millisecond queries, enabling users to efficiently handle massive datasets. Its SQL extensions streamline time-series analysis, while features like "ASOF JOIN" and "LATEST ON" enhance data retrieval. Ideal for real-time applications, it reduces operational costs significantly.
Axibase Time Series Database
The Axibase Time Series Database serves as a fast and reliable datastore specifically designed for financial market data. Its parallel query engine enables efficient time- and symbol-indexed data access, facilitating advanced SQL queries with complex filtering and aggregations. Users can consolidate various data types and perform high-frequency strategy backtesting, market surveillance, and granular transaction cost analyses effortlessly. With built-in latency monitoring and support for multiple protocols, including FAST and SBE, this database ensures robust performance and seamless integration. The interactive SQL console, along with JDBC and ODBC drivers, enhances user experience and data management capabilities.
VictoriaMetrics
VictoriaMetrics serves as a high-performance open-source time series database, adept at managing vast amounts of time series data across various applications such as IT infrastructure and IoT. Its efficient architecture enables users to store millions of data points per second while minimizing operational complexity and resource consumption, making it a highly effective solution for enterprise workloads.
Versio.io
The Versio.io platform innovatively captures and historicizes changes in assets and configurations, allowing users to retrieve specific states of instances over time. With its topology service, it maps relationships between instances across various data sources, enhancing data quality and enabling effective monitoring of compliance and security within IT operations.
VictoriaMetrics Cloud
VictoriaMetrics Cloud offers a robust time series database solution, enabling users to seamlessly migrate from costly monitoring platforms. With a $200 Starter Offer, it supports single-node and cluster deployments, providing high data resolution and complex query capabilities. Users benefit from cost-effective, isolated environments while optimizing resource usage through smart configuration management.
Warp 10
Warp 10 revolutionizes time series data management with its modular open-source platform, specifically designed for IoT applications. By integrating a Geo Time Series database and a robust analytics engine, it empowers users to efficiently collect, store, and analyze data, enabling tasks such as anomaly detection, model training, and data visualization.
CrateDB
An innovative solution for real-time data management, this open-source distributed database excels in handling diverse data types, from time-series to vectors. With ultra-fast querying capabilities and seamless AI integration, users can swiftly uncover insights and optimize operations, ensuring data-driven decisions are made in milliseconds, regardless of scale or complexity.
Company Information
- Company: Ventas
Top KairosDB Features
- Fast time series data storage
- Multiple data push protocols
- Cassandra integration
- Customizable plugins support
- Query page for data access
- Extensive API operations
- Built-in aggregators functionality
- Downsampling capabilities
- Java client library
- Command line import/export
- Performance monitoring metrics
- Tag names and values listing
- Scalable NoSQL architecture
- Data point listeners integration
- Flexible schema design
- User-friendly development interface
- Support for standard aggregators
- Easy metric data storage
- Efficient querying of metrics.
