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?

Ingestion

Having issues when ingesting large volumes of data? Does it take too long?

 

 

Data volume

Slow access to databases?

 

 

High costs

High cost and misuse of resources?

 

 

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?

 

 

Integration

Difficult integration of software and tools?

Data capacity

Low storage and processing capabilities?

Data granularity

Not enough granularity/detail in your time series?

Scheme that explains the operation of Shapelets REC , from the data sources, going through an ultra ingestion to the solutions that the user develops with the data

Innovation Proposal

You can do things differently

Goodbye expensive data lake solutions

shapelets rec icon

+ 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

shapelets rec icon
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

shapelets rec icon

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.

Do you
have questions?

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