What we do

jSonar makes Big Data easy and affordable by merging the simplicity of
NoSQL, the speed of MPP platforms, the scale of object stores and the ease-of-use of clouds.

Your enterprise benefits because we make Big Data Analytics and Data Lake projects fast –
fast to implement and fast to execute.
We lower the TCO of Big Data by making it simple to implement and trivial to operate.

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SonarG – Big Data
for guardium
mpp-warehousingp-for-mongodb
Analytics
for JSON & NoSQL
json-warehousing-for-hadoop
Embedded Analytics &
Big Data
json-studio-for-mongodb
Security Data Lake
Optimization
MODERN DATA ANALYTICS

EMBEDDED ANALYTICS AND BIG DATA

It’s all about footprint. The SonarWe embedded analytics engine allows you to provide lightning-fast analytics
in a very small footprint. SonarWe is a NoSQL analytical engine and as such is both fast and flexible.
Plus, it requires little to no administration and upkeep. Whether you have a relational operational data store (ODS) or a NoSQL one,
it is easy to get data from your ODS to SonarWe – a purpose-built analytical database supporting complex queries, fast analytics,
windows functions and more. It is the only Big Data analytics platform in the industry that does not require large clusters to run,
that uses JSON natively, and that is easy to use no matter what the data looks like.

For more information, read our SonarWe data sheet

MPP Analytics for MongoDB

Analytics for JSON & NOSQL

SONARW is the industry’s only analytics platform that stores, manages, and queries JSON data. Use it as a
complement to your NoSQL databases as your transactional system. SONARW is 100% compatible with MongoDB and any application, driver or tool that can
talk to MongoDB automatically also talks to SONARW. Easily import data from MongoDB, DynamoDB, MarkLogic or CouchBase into SONARW.
Since the data model is the same no mapping or extra work is needed.

SONARW is optimized for analytic workloads. Queries that scan large amounts of documents or that compute complex aggregations run
orders of magnitude faster in SONARW – in the same way that MPP databases are better at analytic workloads than their OLTP counterparts.

To learn more, read our “A Fast and Simple Approach to Providing Analytics for MongoDB” white-paper

JSON for Hadoop

Cloud-Based Active Infinite Retention (CAIR)

SonarC2 combines the use of cloud storage and on-prem object stores along with a NoSQL column-store to provide you with infinite self-managed retention of security and audit data without requiring clusters of machines. Speed and availability with minimal cost, alongside rich functionality such as workflow, profiling, UBA, search and analytics – all providing an order-of-magnitude better performance and order-of-magnitude reduction in complexity and development cost. Supported clouds include Amazon AWS, Microsoft Azure, Google GCP, IBM SoftLayer as well as private clouds utilizing local storage, SANs and object stores.

Database Activity Monitoring (DAM) for Database as a Service (DBaaS)

In addition, the SonarG Database Security Big Data solution supports monitoring cloud Database as a Service solutions such as Azure SQL and Amazon AWS RDS in addition to all on-prem enterprise databases.

Security Data Lake Optimization

Security Data Lake Optimization

Use SonarC2 to optimize your security data lakes. With over 700 connectors (including Hadoop, Spark, R and scikit connectors, a Kafka interface and much more) and the ultimate NoSQL flexibility SonarC2 is perfect as a pre and post processor to make your security lakes cost less and be more valuable. Treat your security data to a spa-like experience.

FEATURED CLIENTS

SONARW HIGH-LEVEL ARCHITECTURE

Find out more from the 8 areas highlighted below

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Columnar
JSON
mpp-everywhere
MPP
Everywhere
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Cloud
Storage
columnar-json

COLUMNAR JSON

SONARW is a column-store making analytic queries fast. Data need only be read if it is requested
by the query thus reducing IO. Columnar data is also easier to compress, further reducing IO.
SONARW takes columnar data further than any other platform, and is able to columnize data
that does not have a fixed structure – an industry first.

TO LEARN MORE, READ ABOUT “SONARW’S KEY ARCHITECTURE CHARACTERISTICS”

mpp-everywhere

MPP EVERYWHERE

SONARW uses advanced parallel techniques to accelerate performance in multiple areas.
This approach enables SONARW to use less hardware than other Big Data platforms while achieving better performance and throughput.

TO LEARN MORE, READ OUR “THE BIG DATA BENCHMARK AND SONARW” WHITE PAPER

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Cloud Storage

SONARW runs on Linux servers utilizing direct-attached disks, SAN or object stores. Both enterprise (on-prem) object stores as well as all cloud object stores are supported. You decide what retention policy makes sense and SonarW automatically manages movement and long-term retention of data across hot, cold and offline storage. The data is always available for you to query transparently – you do not need to worry about where the data resides. You benefit from ultra-low costs, the ultimate in availability and durability all within the simplest of solutions requiring zero administration.

The jSONAR NoSQL
Analytics Platform

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BI ToolsBI Tools
BI ToolsMapRR StudipScikitCyberArk

UNIVERSAL / SIMPLE ACCESS & INTEGRATION

The jSonar platform is easy to access and provides unparalleled possibilities in terms of integration. You can access data on the platform through both NoSQL and through SQL so you can use any of your existing Business Intelligence (BI) tools such as Qlik and Tableau. Access using a variety of NoSQL drivers and tools is supported natively – examples include Alteryx and Splunk as well as open source environments such as R, scikit, Hadoop and Spark. Finally, The NoSQL layer allows rapid integration with a variety of environments without the need for development, for example, enriching DAM data living in SonarG with CyberArk and ServiceNow data.

CLICK TO VIEW DEMOS OF ACCESSING DATA IN SONARW AND SONARG USING
ALTERYX, SPLUNK, R, SPARK, TABLEAU, JSON STUDIO, AND MORE

AWARDS AND PRESS




Applications

Columnar JSON yields the ultimate flexibility without compromising performance and thus is ideal for a broad range of use cases and industry applications. Examples include Internet of Things (IoT) applications, Security Intelligence, Social Media Analytics, Mobile Analytics, Event Analytics, Genomic Analytics, Customer and Patient Analytics and much more.


FEATURED APPLICATIONS

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big data reporting and
analytics for guardium data
internet-of-things
internet of
things (iot)
security-intelligence
Security
Data Lake / Cloud
guardium-warehousing

BIG DATA ANALYTICS FOR GUARDIUM DATA

SonarG is the industry’s first Big Data solution specifically built for optimized data aggregation, storage and reporting for Guardium Database Activity Monitoring environments. By combining the best of Hadoop web-scale technologies and MPP performance, SonarG dramatically increases the value of your Guardium deployment by improving visibility, security and compliance while reducing costs. Long-term, highly granular activity information can now be consolidated into an inexpensive centralized audit platform, providing improved access to rich activity information while simplifying data collection processes and reducing operational costs.

To learn more read our “SonarG: Big Data for Guardium Data” data sheet

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INTERNET OF THINGS (IoT)

Internet of Things applications are possibly the most obvious fit for SonarW. Our cars, our homes, our major
appliances and our city streets are all being connected to the Internet – millions and billions of sensors and
devices that generate streams of data. IoT applications have two main characteristics: IoT applications are Big Data
analytic applications – events and streams need to be collected, stored and analyzed quickly.
The data is ever-growing, as is the value that can be derived from analysis – and efficient reporting is key.

IoT applications must be based on flexible data – events and streams from different sensors and devices
constantly change. New devices come on line and different versions send different information.
Classical techniques are therefore of no use in IoT since rigid structures can not be used for IoT.
Therefore, SonarW’s columnar JSON and fast analytics is not only ideal for IoT applications; it is a must have.

To learn more, read our “Data Analytics for IoT” white paper

mpp-everywhere

SECURITY DATA LAKE / CLOUD

Compliance requirements keep getting more stringent and as a result security budgets are being stretched to the breaking point.
Rather than spending the money on things that improve security, the money is spent on compliance; the cost of compliance has become prohibitive.

Enter SonarC2 – a solution that reduces the cost of compliance and long-term retention of security data using object stores and clouds (both public and private) while producing an always-on and always-query-able analytics-native archive for security data at a fraction of the cost of existing security lakes.

resources

WHITE PAPERS
WHITE PAPERS
DATA SHEETS
DATA SHEETS

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ABOUT US

jSonar is a VC-based company headquartered in Boston, MA. Our founders include serial entrepreneurs and industry
veterans in the areas of databases, Big Data and security. Our sole focus is our customers – we are here to
make their projects succeed. Our technology has no equal and that translates into
better experiences and better outcomes for our customers.

If you want to make Big Data work well
call us or email bigdataworks@jsonar.com