Best Time Series Databases - Page 3

Fauna

Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of relational systems—all built on a serverless, distributed architecture that scales automatically, without the complexity of manual provisioning, sharding, or replication. Over 80,000 development teams choose Fauna to build and scale modern transactional applications including teams from Tyson Foods, Unilever, Lexmark, Intelliculture, Hannon Hill, Cloaked, DTLR, and Insights.gg.

Average Rating: 4.4/5.0

Total Reviews: 25

GroveStreams

GroveStreams is a temporal intelligence platform for organizations whose data changes over time. It is a schema-on-read temporal document store with a SQL interface, built for time-stamped data at scale. In GroveStreams, components are rows and streams are columns, and every cell carries its own independent time axis. A record is therefore not a single snapshot but a full history, and any value can be queried as of any moment. Teams can ingest data first and define structure later, so the data model evolves with the business instead of blocking it. The platform covers the path from raw measurement to decision: Ingestion. Data arrives through a REST API and standard messaging protocols, from applications, databases, files, and third-party services, in real time or in bulk. Query. A SQL dialect purpose-built for temporal data lets analysts ask time-aware questions directly, including joins across entity models, without exporting to another system. Derivation. Calculated streams, rollups, and aggregations are defined once and maintained automatically as new data arrives or as history is corrected after the fact. Analytics and alerting. Dashboards, notifications, and scheduled jobs run against live and historical data together. Because the data model is general rather than domain-specific, GroveStreams is used across industries wherever measurements, events, transactions, or records accumulate over time, and wherever the question is not only what a value is now, but what it was, when it changed, and what that implies. Typical work includes operational reporting, auditing and reconciliation, forecasting, and building applications on top of a shared temporal data layer. GroveStreams runs on a distributed architecture designed for high-volume time-stamped data, with organization-level isolation, role-based access control, and a REST API for integration with existing systems.

Average Rating: 5.0/5.0

Total Reviews: 1

Kinetica

Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joins - analyze data using SQL based analytics for spatial, graph, and time-series analytics or running containerized ML models

Average Rating: 4.3/5.0

Total Reviews: 2

OpenTSDB

Scalable time series database.

Average Rating: 5.0/5.0

Total Reviews: 1

RaimaDB

RaimaDB: The High-Performance Embedded Database for Edge and IoT Systems RaimaDB is a high-performance, small-footprint database designed for edge computing, IoT, and embedded systems. Built on over three decades of database innovation, RaimaDB provides a powerful, reliable, and resource-efficient solution for developers building applications where data integrity, speed, and local storage are critical. Unlike large-scale enterprise databases, RaimaDB is purpose-built for environments with limited memory and processing power—such as industrial controllers, automotive systems, medical devices, and network appliances. Its lightweight architecture allows for fast transactions, deterministic performance, and minimal overhead, making it ideal for real-time applications. RaimaDB supports both SQL and C/C++ APIs, giving developers flexibility in how they access and manage data. It’s fully ACID-compliant, ensuring data reliability even in harsh or disconnected environments. With advanced features like in-memory performance, high availability, and flexible replication, RaimaDB enables secure local data processing while still integrating seamlessly with cloud or enterprise systems when connectivity is restored. The database can be deployed on a wide range of operating systems, including Linux, embedded Linux, Windows, QNX, and VxWorks, and can run on both ARM and x86 architectures. Its modular design allows for efficient scaling—from compact single-board computers to complex distributed networks. Trusted by global leaders in industries such as automotive, aerospace, energy, and telecommunications, RaimaDB powers mission-critical systems that demand reliability and speed. Developers choose RaimaDB for its ease of integration, low maintenance requirements, and proven performance under demanding conditions. Whether you’re building the next generation of connected devices or optimizing data handling at the edge, RaimaDB provides the robust foundation you need. Experience the efficiency of a database built for embedded and real-time systems—fast, reliable, and ready for the future of intelligent data management.

Average Rating: 4.6/5.0

Total Reviews: 7

Riak TS

Riak TS is the only enterprise-grade NoSQL time series database optimized specifically for IoT and Time Series data. It ingests, transforms, stores, and analyzes massive amounts of time series data. Riak TS is engineered to be faster than Cassandra.

Average Rating: 3.0/5.0

Total Reviews: 1

Tembo

Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted deployment options, Tembo enables everyone – from the smallest startups to the Fortune 500 – to go “all in” on Postgres, achieving unprecedented stability and efficiency across a variety of applications and use cases. With Tembo, customers get all the stability, reliability, and extensibility of Postgres open source with enhanced observability, compliance, and developer experience.

Average Rating: 4.7/5.0

Total Reviews: 26

Versio.io Platform

Versio.io is an enterprise software solution based on historicized IT monitoring data to optimize and support your IT operations. With Versio.io you can historize your IT monitoring data extracting additional value from it. This allows you to reduce IT deployment costs and to use existing IT resources more efficiently. Optimization solutions require information from the history provided by Versio.io. This enables you to reduce hardware and license costs, ensure auditability of your IT, automate governance and compliance rule monitoring, ensure fair distribution of IT cost allocation, and further more.

Average Rating: 5.0/5.0

Total Reviews: 1

VictoriaMetrics

VictoriaMetrics is the company behind the leading open source time series database , observability, and monitoring solution of the same name — built for simple, reliable, and efficient observability. By engineers, for engineers. Founded in 2018 in Kyiv, Ukraine, and now globally led and headquartered in the US, VictoriaMetrics has grown into a full open source observability stack: VictoriaMetrics for metrics, VictoriaLogs for logs, and VictoriaTraces for distributed tracing — with Enterprise, Cloud, and AI-powered Anomaly Detection offerings built on the same core. The management team came together following successful careers at Google, Lyft, and Cloudflare to solve the hard problems around very large, constantly changing data that they had encountered themselves. Today VictoriaMetrics counts 1B+ Docker pulls, 19M GitHub downloads, and 17K+ GitHub stars, and is trusted in production by CERN, Grammarly, Adidas, Spotify, and thousands of engineering teams worldwide. For more information, please visit https://victoriametrics.com.

Average Rating: 5.0/5.0

Total Reviews: 2

acron

Aiven for M3

Fully managed M3DB – the high-performance time series database with unlimited scalability and high availability.

ArcadeDB

ArcadeDB is an open-source, multi-model database for teams that want one fast, dependable operational database instead of a stack of specialised engines. A single ACID-compliant engine stores graphs, JSON documents, key/value pairs, time series and vector embeddings, with full-text search built in, so a knowledge graph, a product catalog, a cache and a semantic search index can live in the same transactional database. Every model is native to the engine, so there is no translation layer slowing queries down. You can query ArcadeDB with SQL, Cypher (OpenCypher), Gremlin, GraphQL, MongoDB queries or Redis commands, and connect with existing PostgreSQL, MongoDB and Redis wire-protocol drivers, Bolt, HTTP/JSON, or the Java API. This makes it a practical choice for knowledge graphs, GraphRAG and AI agent memory, fraud detection, recommendations, identity and access graphs, and IoT telemetry. ArcadeDB is built for performance and a low memory footprint. On the public LDBC Graphalytics and LSQB benchmark suites, run by ArcadeDB on identical hardware, it is among the fastest engines tested, and the scripts to reproduce the results are open source. Run ArcadeDB embedded inside a Java application, or as a server on Docker, Kubernetes, Linux, macOS or Windows. Production features include high availability with automatic failover, Write-Ahead Log crash recovery, backups, security and users, and the ArcadeDB Studio web console for querying and visualising data. Integrations include LangChain, LlamaIndex, Haystack, Cognee, an MCP server for AI agents, Grafana, Prometheus and OpenTelemetry, and BI tools such as Tableau, Power BI, Metabase and Superset over the PostgreSQL protocol. ArcadeDB is Apache 2.0 licensed, free forever, with no contributor license agreement and no separate enterprise edition: every feature is in the free build. Arcade Data, the company behind ArcadeDB, offers optional Silver, Gold and Platinum support subscriptions with guaranteed response times for production deployments.

Average Rating: 5.0/5.0

Total Reviews: 1

DATAHUB+

DataHUB+ is an enterprise time-series process data historian and visualization platform. It's scalable distributed data storage allows users to store all available structured, semi-structured and unstructured data reliably. DataHUB+ is built for rapid insights, reducing data wrangling time. Build your own data visualizations and dashboards, monitor operations in real time, create alerts and be confident in the integrity of your analysis. DataHUB+ is designed to be interoperable with your existing systems, and can be utilised for an unlimited number of plants, assets and equipment. Users can build data visualizations using dynamic dashboards or fully customize visualizations using drag & drop functionality. DataHUB+ also includes free-form calculations and statistical analysis capabilities. Discover a next generation process historian and visualization platform without hidden licensing fees, additional hardware costs or individual user costs.

Average Rating: 5.0/5.0

Total Reviews: 1

Hawkular Metrics

Hawkular Metrics is a scalable, asynchronous, multi tenant, long term metrics storage engine that uses Cassandra as the data store and REST as the primary interface.

IRONdb

IRONdb is a highly resilient time-series database designed to scale to billions of events per day and trillions of datapoints for regression. IRONdb allows organizations to handle a massive amount of data - reliably, efficiently and cost-effectively - to pull out the operational insights needed to run their businesses and get ahead of the competition.