XTDB

XTDB

XTDB is a time series database optimized for Internet of Things (IoT) and time series data. It is designed to efficiently ingest, store, and query large volumes of time stamped data like sensor readings, application metrics, and device heartbeats.
XTDB screenshot

XTDB: Time Series Database for IoT and Time Series Data

A high-performance time series database designed for efficient ingestion, storage, and querying of large volumes of timestamped data, ideal for IoT applications.

What is XTDB?

XTDB is an open-source time series database purpose-built for managing IoT and time series data at scale. Unlike relational databases, XTDB organizes data by time stamp first rather than relations between tables. This specialized design delivers exceptional write throughput and compression ratios.

XTDB is optimized to efficiently handle high velocity writes of time series data such as sensor readings, application metrics, and device heartbeats. Data can be written to XTDB with millisecond timestamps and microsecond precision. Queries are also lightning fast thanks to XTDB's time-first architecture and ability to return data for specific time ranges without scanning everything.

In addition to speed, XTDB provides strong data compression (often 10x or better) along with data rollups and downsampling. These capabilities significantly reduce storage requirements and costs compared to other databases. XTDB also includes native support for time series forecasting and interpolation.

XTDB runs anywhere - on premises, in the cloud, or at the edge. It can ingest millions of data points per second on a single node. XTDB scales horizontally across nodes with a shared-nothing architecture and replication for high availability. The database includes connectors for apps and visualization tools.

XTDB Features

Features

  1. Native time series data model
  2. High ingestion rates
  3. Query optimization for time series
  4. ACID transactions
  5. Horizontal scalability
  6. Built-in aggregations
  7. Data compression

Pricing

  • Open Source
  • Freemium
  • Subscription-Based

Pros

Fast performance for time series workloads

Easy horizontal scaling

Open source with commercial support available

Can handle high velocity data streams

Flexible data model

Cons

Less full-featured than some commercial TSDBs

Limited ad-hoc querying capabilities

Not ideal for non time series data

Fairly new project, community not as large as alternatives

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