G E M I N I S T R E A M: DATA SH EET

KEY BENEFITS

StreamCollect, reduce, transform, and parse machine datafrom and to the most common Big Data
platforms, using a single interface…
License costs for some Big Data platforms can be prohibitivelyexpensive, but by retaining only the data you require, did you realisethat the cost of ownership can be reduced by up to 50%? This allows
you greater choice in either reducing your license costs or storing othermore relevant sources of data.
Introducing Gemini Stream, which is now available as part of theGemini Central package (formally Gemini Manage), or as a standalone installation if desired.
Introducing our revolutionary built-in AutoParser, never have to dealwith complex regular expressions again, it’s automatic.

Features•

High performance data normalization•No-code data parsing with built-inAutoParser UI – no regex knowledge
required•High Capacity Receiver (60K EPS)•

Data masking feature for anonymity

Save Money•

Reduce the cost of Big Data storage•

Reduce expensive licensing costs•

Avoid costly Data Lakes•

Reduce the cost of Cloud storage

Save Time•

Reduce the time taken to convert
unstructured data into well formed data•

Reduce the time taken to prepare for
Data Science projects•

Eliminate the pain of regular expressions
forever with our built-in ‘AutoParser’

End to End Solution Overview

Learn more at geminidata.com • Cantact us at contact@geminidata.com

G EMINI S TR EA M : D AT A S H E E TEnd to End Solution

Gemini AutoParser

Gemini Stream comprising of four main parts;• Receiver• AutoParser• Store• Data Output EngineA smart, high performance, and easy to use dataparser is included that can clean, filter and organize
your data, into structured well formatted data, perfectfor analysis tools.

Splunk, MinIO, S3, Gemini Explore, Tableau, Elastic, Qlik, PowerBI

Never have to work on complex regex expressions likethis one below ever again!

Data Output Engine
Data Normalization Editor (AutoParser)
Data Ingestion Engine
Data Receiver / Storage
Text Based
Documents

Text BasedStream Data

API Uploads

Consider Stream as your primary store and send only
the necessary data to your BI, Machine Learning, orother analysis tools.
Gemini Stream parses, normalizes, and reduces
sources of unstructured data before presenting it as
structured data suitable for analysis.
Our Data Ingestion Engine receives data as a JSON orSyslog stream or from an API upload.
Make use of our Store to reduce the costs of other big
data platforms. Our license model is based purely on
data parsed, not data stored or ingested.
End-to-end processing is made simple with ourno-code AutoParser solution.
Our Data Output Engine forwards the parsed, reduced
and well-presented data as a JSON or Syslog stream,or to Elastic using the Elastic connector.
Deploying Gemini StreamGemini Stream can be configured as partof Gemini Central software (previouslyManage), or as a stand alone product.
Deploy on one of our Gemini Appliances(G-1000) or bring your own hardware
option using the minimum specifications

MIN SPECS

8 CPU cores
32GB RAM
1.2TB storage
1GbE Base-T RJ45

Learn more at geminidata.com • Cantact us at contact@geminidata.com

Ingestion Speed – 5x Faster
Compared to typical data collectors on themarket that run at between 8,000-12,000
EPS, Gemini Stream can ingest data at up to
60,000 EPS (Event Per Second).
Save on storage and license costs –by up to 50%
By using the revolutionary AutoParser
system, Gemini Stream can eliminate
un-necessary data from your raw data
input and keep only the essential highquality data for analytical purposes.
This can effectively save up to 50% of thespace required in your backend big data oranalytical platform.
Processing Time - 18X fasterGemini Stream can process 50GB of data in
only 20 minutes. It is 18X faster compared toother data collectors.

 End to End solution for datapreparation and storage Easily scale ingestion to an infinite
amount of data.

 Super fast data ingestion, up to 60K

 Only pay for the data that isprocessed, not the data that isingested or stored No-code parsing, never struggle
with regex again
 Save money on expensive big data
platform storage license costs.
 Optionally keep all your raw data

 Data masking feature for sensitive
PII information
 Avoid expensive storage costs

G EMINI S TR EA M : D AT A S H E E T