Bering Labs offers a range of Big Data Consulting & Implementation services to develop the Big Data solutions and creating new ways of analyzing data to gain key business insights across enterprises. With a team of Big-Data Architects, Developers, Analysts and Consultants, we offer a balanced mix of Strategy, Design and Implementation expertise.

Bering Labs assists the clients in both strategic upstream activities such as evaluating and developing big data road-map, to implementation and support of large environments. Our experience extends across the Big Data ecosystem including Hadoop‚ NoSQL‚ NewSQL‚ MPP databases‚ R, Scribe, Apache HBase, Cassandra, and MongoDB.


We help you to define a Big Data strategy, do a feasibility study and select appropriate technologies and vendors based on your requirements and budget.

Bering Labs offers vendor-neutral, unbiased recommendations based on your real business needs and justify results with cost-benefit analysis . Our professional consultants combine technology expertise with business domain knowledge to help you to evaluate commercial product vendors and open source options.

Bering Labs can help you to

  • Identify your business goals and establish business requirements
  • Identify the right technology framework, architecture patterns, tools, languages, and more.
  • Define a Big Data roadmap that will enable you to get the most of your existing investments.
  • Evaluate technologies and vendors based on weighted scoring against your objectives.

Bering Labs team has an extensive architecture and design experience and expertise. We create architectures that are extensible, maintainable, adaptable to change, and portable to different environments.

Our architecture advisory services provide you with sound advice based on years of experience in the field. We have experience in everything from performance-tuned clusters to fully-integrated suites of technologies that include ETL, NoSQL data stores, MPP-based data warehouses, CEP engines, workflow engines, and visualization.

Our collective years of experience enables us to:

  • Architect and design large and complex enterprise-class software products and solutions
  • Access a huge knowledge base of contemporary and future architecture frameworks and design patterns
  • Employ mature and automated processes and best practices for high quality and faster architecting and designing
  • Reduce maintenance costs by anticipating the major changes that may occur in the system

We will execute a proof of concept to identify and prove the best suitable solution under given constraints of technology, budget, production-readiness, and price vs. performance analysis.

On successful validation of proof of concept, we help you take it to a production-grade deployment.

Application Development

We are committed to building effective and high performance systems, and delivering unparalleled business value to you. Our services include everything from the development and testing of initial proof-of-concept prototypes to development and implementation of high performance systems.

Bering Labs can help you to design, develop, and test business proof-of-concept prototypes utilizing Big Data technologies under given constraints of technology, budget, production-readiness, and price versus performance analysis.

Some of the core areas of our expertise include

  • Strong knowledge base of building MapReduce applications
  • Extensive use of various Big Data ecosystem components
  • Analytics solutions on massive heterogeneous data sources
  • Recommendation systems
  • Custom applications over large data sets.

On successful validation of your proof-of-concept prototype, we can help you to scale and deploy your Big Data solution to a production-grade deployment.

The Big Data space comprises multiple technologies and complex ecosystems. Our professional services enable you to achieve full utilization of your resources in the following areas

  • Installation
  • Configuration
  • Performance tuning and optimization

Big Data Capabilities

Programming Languages Java, Python, Javascript (client-side as well as NodeJS)
Distributed File Systems Apache Hadoop HDFS, Tachyon,
Key/Value Data Stores Apache Accumulo, BerkleyDB, MemcachedDB, Redis, Amazon DynamoDB
Data Stores
Apache Hive, Apache Hbase, Apache Cassandra, Amazon Redshift
Document-oriented Data Stores MongoDB, CouchDB, Riak, RethinkDB
Graph-oriented Data Stores Apache Giraph, Neo4J, Blueprints, OrientDB, GraphX
Relational Data Stores Oracle, Mysql, PostgreSQL, MariaDB, Greenplum, Teradata, BlinkDB, Shark
Search Platforms Apache Solr, Elastic Search, GSA
Text Processing Apache Tika, Apache Mahout, Apache Stanbol
In-memory/Realtime Processing Apache Spark, Apache Spark Streaming, Apache Storm
Statistics, Visualization  R, Gnuplot, VizQL (Tableau), D3JS, Leaflet (maps)
Cloud Platforms  Amazon AWS, OpenStack

Expertise By Role Group

  • Big Data Architects
  • Big Data Developers (Experience with HADOOP, HIVE, PIG, HBASE, MAP REDUCE, AVRO, and SQOOP)
  • Business Analysts
  • Data Analysts
  • ETL (Extract, Transfer and Load) Developers
  • Visualization Tools Developers (Experience with visualization toolsets like Spotifre, Qlikview and Tableau)
  • Data Warehouse Appliance Specialist (Experience with appliances such as Teradata, Neteeza and Exadata)