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Easy to deploy, Trivial to maintain
EraDB easily integrates into your existing system and enables you to utilize familiar technologies.
Plug in to existing data stacks
Easily handle a billion dimensions out of the box
Designed for linear-or-better horizontal scalability
Data storage layer that is multi-tenant by design
Solves the Curse of Dimensionality problem for time-series storage
Adaptive AI indexing system for ad-hoc queries
Predictable query latencies to meet production SLOs
Avoid expensive and laborious trade-offs
Equally powerful at aggregation across billions of facets, whether you’re querying nested JSON objects or tabular data with a strict schema.
With EraDB you can have the flexibility and power of schemaless with the reliability and performance of schemas—and soon you’ll be able to enforce a schema so you can truly do either or both at the same time.
Some solutions make you pick complex shard keys to scale effectively. The trouble is that your data often grows in unexpected ways, creating scaling bottlenecks and admin annoyances. We dynamically shard your data for you so that you can focus on what actually matters to your business.
Time is on your side—and so is everything else
With EraDB, there are no more agonizing decisions about whether data is a tag or a value because it can be both, and can handle data that isn’t timestamped at all! EraDB's advanced indexing systems allow you to filter and aggregate every piece of information—whether it’s a “column”/”key” or a “row”/”value”—in your data set at billion-scale with no prior knowledge or optimization required.
AI-indexing by default
Manually defining performance-sensitive indices is a thing of the past—so is all of the associated data duplication. EraDB will handle all of the performance optimizations for you based on the queries you make. You can optionally enforce a specific index when you need to.
No downsampling required
Other solutions downsample your data when writing because they can’t keep up with your insertion rate, and interpolate the difference. This leads to data loss and skewed signals, while your missing data can become difficult to reason about. EraDB is write-safe and can handle as much data as you can throw at it.
For all shapes and sizes and data rates
Other solutions make admins predict what future data will look like. EraDB handles different data rates without additional optimization on your part, from the steady river of complex ETL pipelines to the waterfall of Black Friday sales.
The First Database Built for Hyper-Cardinality Data
A Billion Dimensions Out of the Box
hy•per - car·di·nal·i·ty
| ˈhīpər - ˌkärdəˈnalədē |
Magnitudes greater complexity than current assumptions of high cardinality — not hundreds of columns with millions of unique values, rather billions of columns and billions of unique values, yielding trillions of series.
Reasons other databases can‘t support Hyper-Cardinality data
Technologically-limited storage engines cannot efficiently handle complex data, so they crash or slow to a crawl.
Indexes are expensive and have to be defined manually, so you must choose which queries are most important.
Inflexible schemas require you to discard attributes, forcing you to sacrifice data quality for performance.
Horizontal scale is often an afterthought, so performance and transactional semantics suffer at high volumes.
A Database That Thinks For You
Putting the power of machine learning to work for you and your data
Never manage indexes again
We automatically index on every dimension, so you never have to decide today what you want to query tomorrow
Write any JSON object, query it with SQL
Send us your arbitrarily-shaped data, nested or not, and we’ll take care of the rest
Enforce a schema, or don’t bother
EraDB is schemaless by design, so we can store your data regardless of whether it’s consistently-structured
Use your favorite tools and query languages
Built for flexibility, EraDB supports pluggable front- and back-end systems
Effortless log management has arrivedLearn More
Time-series analytics with no limits.
EraDB is a database architecture built on the core principles of decoupled storage and compute, true zero-schema data storage, and flexible indexing powered by machine learning, all of which allow you to significantly reduce the size, cost, and complexity of your data while still giving you lightning-fast queries across vast datasets.