Running transactions and fast analytics in the same database at any scale
Leanxcale is designed for fast-growing businesses or enterprise companies who make intensive use of data, especially if they need real-time analytics. Forget costly ETL, do not wait for data-lake results, no need for lambda architecture, have a response for any query now.
LeanXcale's technology is a result of 20 years investigation by some of the most brilliant minds in the database field. LeanXcale is a UPM spin-off.
Hybrid Transactional Analytical Processing (OLAP+OLTP)
Query the Now, not the OBSOLETE
Whatever workload mix you need to process LeanXcale will process it. Ingest data as fast as you need. Make your analytical queries over the operational data. No ETL or map-reduce need. All your needs are covered by a single database manager.
We have engineered a distributed data warehouse over our ultra-scalable conflict-free ACID database to deliver real-time analytics.
Run on a PC or in 100s of serverS, GET ALWAYS A LINEAR PERFORMANCE
Start with a cluster size covering your needs, Grow the cluster size as your needs increase, always getting a linear performance, even for hundreds of nodes. Enjoy linear scale out in all dimensions. Process up to millions of transactions per second. Store up to petabytes. Query up to billions of rows instantly.
Iguazu tech is the result of two decades of research on scalable transactional: an incredible patented technology to endless linear scale-out.
DON’T BE BLIND FOR DAYS
Companies decision cannot wait for days or hours. Nowadays business requirement changes every instant. Your database should be ready, providing real-time insights as soon as the data get your platform.
Keep it simple
LeanXcale allows to use the most straightforward architecture: just one database. No need of ETL, no need for map-reduce, no need for lambda architecture, just LeanXcale.
Same data, same answer
Traditional architectures use different data sources for aggregated and fresh data. As a result, drill-down may be out-of-sync, making your customers lose confidence in your whole solution and KPIs. LeanXcale always provides a coherent 360 grades view.
Add value, do not just copy
Teams spend hours creating, maintaining ETL to duplicate data. With LeanXcale all this is no longer needed, and organizations can use the time to provide real value.
The proprietary Iguazu technology grants that can handle from 0 to billions of transactions per second. No matter how your application grows, your database architecture is already ready.
but LeanXcale can do even more:
LeanXcale is much more than HTAP database, it could be used in much more ways:
- as an operational data lake
- as a fast RDBMS
- as a polyglot layer
- as database for aggregations
- as a time-series database
- for massive scalability
- as a NoSql Key Value database
- as a distributed and resilient database
- as fast KV insertion and SQL search database
- as an all-in database
Discover more usage options and our disruptive technology.
People do not stop talking about us
An out-of-the-box full managed cloud solution ready to handle your workload.
A version ready to run in your own managed server
Active-Active Replication, Always Up
A novel active-active replication algorithm: No more updates lost nor downtime due to passive replication. No more bottlenecks nor unacceptable costs due to obsolete active replication.
Benefit from aunique replication algorithm exploiting the ultra-scalability of transactional management with a low overhead and no bottlenecks.
Zero downtime, no saturation, exact dynamic sizing
Are you fed up of overprovisioning and paying 24x7 for something you might never need? LeanXcale dynamic elastic scalability guarantees that you can dynamically grow your cluster size to process any workload and dynamically shrink to the exact size you need to avoid big bills.
Our novel non-intrusive data migration algorithm allows to move data while is being updated and keeping full ACID consistency and without disrupting operations!!
Other customers trusting LeanXcale:
To use it, only plain SQL is needed. No difficult API, no new training, no months to learn it. If you need to manage semi-structured data, a key value API is also available.