A historian for data science
Are you having issues
in your data ingestion processes?
Ingestion
Having issues when ingesting large volumes of data? Does it take too long?
Data volume
Slow access to databases leading to delayed ingestion, and insights?
High costs
High cost and misuse of valuable resources such as storage and computing power?
In short… are you unable to
unify your workflow?
Integration
Difficult integration of software and tools?
Data capacity
Low storage and processing capabilities?
Data granularity
Not enough granularity/detail in your time series?
Innovation Proposal
You can do things differently
Goodbye expensive data lake solutions
+ STORE
Shapelets REC integrates natively within Shapelets Store, creating a cost-effective solution for both data science and process engineers to construct virtual data lakes on demand, where data can be use in context with other enterprise data sources.
Cost-efective solutions
Unlimited tags
Real-Time
Indexes data to achieve largest read throughputs
Long-term storage
Events, alarms, and metrics ideal for compliance, audit, crisis management and data science tasks
Ultra Ingestion
More than 100 million documents per second
Connectivity
Through industry standard protocols (ZeroMQ, MQTT, HTTPS, InfluxDB Line Protocol)
Compatibility with other systems
No more data aggregations
Extract the maximum value from data by keeping its original granularity
Native Python API
License
FLAT FEE YEARLY SUBSCRIPTION
NO RESTICTIONS
90%
OPEX savings
Seeing to believing
Benchmarks
The fastest on the market
SOLUTION
DATA MODEL
Tag-value
Relational
Tag-value
Relational
Hierarchical
Tag-value
SQL SUPPORT
Extensive
Extensive
Limited
Extensive
No
Limited
DISTRIBUTED COMPUTING
No
(Single machine, can be scaled horizontally)
No
(Single machine, can be scaled horizontally)
Yes
(Clustering, Sharding, High Availability)
Yes
(Automatic partitioning, Replication)
No
(Single machine, can be scaled horizontally)
Yes
(Clustering, Sharding)
TIME FOR
1M WRITES
~0.1 sec
~1.8 sec
~10.9 sec
~12.6 sec
~23.3 sec
~40 sec
TIME FOR
10M WRITES
~1 sec
~24.3 sec
~99.9 sec
~145 sec
NA
NA
FEATURES
Built-in HA, Data compression, Tiered Storage
ACID Transactions, Built-in HA, Low Latency
Continuous Queries, Retention Policies, Downsampling
Hypertables, Continuous Aggregates, Data Compression
Built-in Dashboarding, Graphing, Alerting
Built-in Aggregation, Data Rollups, Tiered Storage
SOLUTION
TIME FOR
1M WRITES
~0.1 sec
~1.8 sec
~10.9 sec
~12.6 sec
~23.3 sec
~40 sec
TIME FOR
10M WRITES
~1 sec
~24.3 sec
~99.9 sec
~145 sec
NA
NA
Setup
REC server process installation, in cloud or on premise
More than 100 million messages per second using a simple server
Select your storage configuration
(RAM only, RAM + local storage or RAM + local storage + cloud storage)
Start logging event data coming from
ZeroMQ, MQTT, HTTPS, InfluxDB Line Protocol, etc
SETUP
REC server process installation, in cloud or on premise
More than 100 million messages per second
Select your storage configuration
(RAM only, RAM + local storage or RAM + local storage + cloud storage
Start logging event data coming from
ZeroMQ, MQTT, HTTPS, InfluxDB Line Protocol, etc.