Storage for Sequential data

Store and manage events and time-series data locally or on top of S3, with seamless, low-latency access directly within your application.

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We designed a modern embeddable data storage from the ground up precisely for sequential workloads, such as append write and range scans .

Sequential workloads are typical of the wide variety of modern use cases: IoT, events, time series, crypto, blockchain, finance, monitoring, logs collection, and Kafka-style processing.

Using Monotone, you can create high-performance serverless solutions for storage and processing data directly within your application.

Automatic Range Partitioning

Automatically partition data by range or time intervals (min/max). Transparently create partitions on write. Automatically or manually refresh partitions on disk or cloud after being updated. Automatically exclude unrelated partitions during reading.

Transparent Compression

Compress and recompress partitions automatically on refresh (or partition move). Allow different compression types and compression level settings. Everything is done transparently without blocking readers and writers.

Transparent Encryption

Encrypt and decrypt partitions automatically on refresh, partition move, or read. Compatible with compression and done transparently.

Multiple Storages

Create logical storage to store data on different storage devices. Set different storage settings, such as compression, encryption, associated cloud, etc. Create or drop storage online. Extend disk space by adding new storage without downtime.

Manually or automatically move partitions between storages. Compaction on the move can be automatically done to change settings.

Data Tiering

Create data policies involving several storages to separate hot and cold data. Define a pipeline to specify where partitions are created and when they need to be moved or dropped. This can be done automatically or manually.

Cloud Storage

Associate storage with the cloud for extensive and cheaper storage. Transparently access partitions on the cloud. Automate the lifecycle of partitions for the cloud using a Pipeline.

You can automatically or manually handle updates by reuploading partitions to the cloud, downloading or uploading partitions, moving partitions between local storage and the cloud, or moving partitions between different cloud services.