
Ultra-fast disk & in-memory column & row store engine designed specifically for real-time heterogeneous data collection & processing, behavioral intelligence, data management & execution of various business scenarios at scale.
Vendor
Synerise
Company Website

Schema-free organization of data
Store unstructured data - without need to decide ahead of time what kind of data you want to store, or how you want to organize it.
Scalable and accessible architecture
Terrarium DB is a fully managed engine providing the scalability, reliability, security and performance to meet your business data needs at an unbeatable price
Extremely fast analytics
Queries made on billions of records where the time, context, and order of events are essential for business cases: e.g. funnels, segmentations, flow diagrams like Sankey
Time series data
Easy to use datastore for time series data. It lets you store, analyze and visualize time series of measurements from POS, clickstreams, sensors, machines and other systems in real-time.
One source of truth
One storage that can do OLAP queries and direct queries for single object data analysis to make decisions based in real-time (<0-500ms)
Cutting-edge features
Powerful, self-serve product and growth features to help you convert, engage, and retain more users.
Characteristic
Database with column-oriented & row-oriented storage in one engine.
Initial release
March 2018, 2.0
Current release
2.5
Primary database model
Columnstore
Secondary database models
Relational DBMS, Document store, Time Series DBMS
Durability
Yes (WAL)
Cloud-based only
No
Implementation language
C++, Scala
Server operating systems
Linux
Data scheme
Schema-free
Typing
No
Secondary indexes
Yes (all columns are indexed)
SQL
No (under development)
APIs and other access methods
Proprietary protocol
Server-side scripts
C++
Triggers
No
Partitioning methods
Hash sharding based on primary key
Replication methods
No
MapReduce
Yes
Foreign keys
No
Transaction concepts
Optimistic locking, atomic execution of commands blocks and scripts
Concurrency
Yes, thread pool
In-memory capabilities
Yes, full-featured in-memory storage engine with persistence