Terrarium DB

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.
Join innovative organizations using Synerise Platform and explore hundreds of low code use cases
Asics - BasemodelIKEA - BasemodelOrange - BasemodelCompany logoCompany logoCompany logoCompany logoCompany logoZabka - BasemodelCompany logoCompany logoCompany logoCompany logoCompany logoCompany logoCompany logoCompany logoCompany logoCompany logoCompany logoNike - BasemodelNike - BasemodelNike - Basemodel
iPhone mockup

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.
iPhone mockup

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
iPhone mockup

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
iPhone mockup

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.
iPhone mockup

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