All the Help You Need with Hadoop Projects
Hadoop services help your business build big data solutions using HDFS, MapReduce, and YARN — along with other Apache tools, custom integrations, and enterprise-grade components. The right setup means faster ingestion, smarter storage, cleaner querying, seamless streaming, and analysis you can actually act on.
- You need more than a vendor — you need a team that gets the full picture, from strategy to go-live and everything in between.
- INNERLUXES works with mid-sized and large businesses to build Hadoop systems built for real workloads, real scale, and real results.
- With 132 IT professionals and a track record of 68 delivered projects, we move fast — and we finish strong.
Our Hadoop Services
From strategy and architecture through development, testing, migration, and day-to-day support — INNERLUXES covers every stage of your Hadoop journey.
Hadoop consulting
Not sure where to start — or stuck somewhere in the middle? Our Hadoop consultants audit your current IT environment, identify the right use cases, run feasibility studies, build clear business cases with ROI projections, and design solution architecture from the ground up.
Hadoop development
Every business has different data. Cookie-cutter solutions don’t cut it. We set up data ingestion pipelines with quality rules baked in, write custom MapReduce code, Pig scripts, Hive queries, and ML algorithms — and deploy every component of your big data architecture cleanly.
QA & testing
Shipping a Hadoop solution without proper testing is launching blind. We design test automation architectures, build stable test environments, generate realistic test data, and run functional, regression, integration, performance, and security testing.
Hadoop support
Your data environment is always moving. Our support team provides fast problem resolution with root-cause analysis, bug fixes, version upgrades, backup and disaster recovery, continuous performance and security monitoring — 24/7 when needed.
What Hadoop consulting covers
- Audit your current IT environment and spot what’s slowing you down
- Identify the right Hadoop use cases for your specific data challenges
- Run a feasibility study so you invest where it counts
- Build a clear business case with ROI projections tied to your goals
- Design or redesign your Hadoop solution architecture from the ground up
- Strengthen performance and close security gaps
- Train your in-house teams so they can own the solution long-term
- Create a solid disaster recovery plan so nothing catches you off guard
- Recommend the right Hadoop distribution for your current setup
- Map out a phased roadmap so changes happen in the right order
Why Choose INNERLUXES
From big data architecture to DataOps and ongoing support, our team brings the experience, scale, and discipline your Hadoop project demands.
Software development
Deep hands-on experience in big data architecture, built across real enterprise environments and real-world scale.
132 IT professionals
Consultants, architects, developers, DataOps engineers, and QA specialists — every role covered in-house.
68 projects delivered
Across a wide range of scales and complexity levels — from startup data platforms to global enterprise architectures.
30+ industries covered
BFSI, healthcare, retail, manufacturing, education, telecoms — practical experience across sectors where data complexity is real.
Agile & DevOps practices
Established delivery practices that keep projects on time, on track, and continuously improving throughout the engagement.
Data security first
Security is handled with seriousness — policies, controls, and engineers who’ve operated in high-stakes, regulated environments.
Quality-first delivery
Structured QA processes built into every engagement — not bolted on at the end. You get tested, verified, production-ready systems.
Sonia
Data Engineer
at INNERLUXES
“We typically recommend cloud-based Hadoop deployment for workloads that need elasticity and room to scale. On-premises still makes sense when security requirements are strict, the project scope is fixed, and there’s a real appetite for the infrastructure investment.
Selected Big Data Projects by InnerLuxes
Hadoop-Related Technologies We Use
We pair proven Apache ecosystem tools with the right cloud and DevOps components — chosen for your workload, not for the trend.
Apache projects and tools
HDFS
YARN
MapReduce
Apache Spark
Spark Streaming
Apache Kafka
Apache StormHadoop-as-a-Service (HaaS)
Amazon EMR
Azure HDInsightProgramming languages
Java
Microsoft.NET
Python
RMachine learning
MATLAB
GNU Octave
Apache Mahout
Caffe
Apache MXNet
Microsoft FabricDatabases
Apache Cassandra
Apache HBase
MongoDB
Azure Cosmos DB
Amazon DynamoDB
Amazon DocumentDB
GC DatastoreData governance
Apache Airflow
Talend
Informatica
Zaloni
Apache ZooKeeper
AzkabanDevOps
Docker
Kubernetes
Red Hat OpenShift
Apache Mesos
Ansible
Puppet
Chef
Saltstack
AWS Dev Tools
Azure DevOps
Google Dev Tools
Zabbix
Nagios
Elasticsearch
PrometheusHow Much Will Your Hadoop Project Cost?
Every project is different. To give you a real number, we need to understand a few things first. Here are rough starting points to give you a sense of what to expect.
Answer a few quick questions about your needs and our consultants will come back to you with a realistic estimate — fast.
- Corporate app (ERP, CRM, SCM, BI)
- Ecommerce platform
- Finance app
- Telehealth app
- Manufacturing execution system
- On-demand marketplace
- IoT app
- AdTech / MarTech
- Content streaming
- Booking system
- AR/VR
- AgTech
- Online game
- Other
Hadoop audit, feasibility study, architecture design, and roadmap creation. Scoped to your environment.
Custom pipeline engineering, MapReduce jobs, Pig, Hive, and full architecture deployment. Priced per scope.
Ongoing support on a retainer or as-needed basis. Migration cost depends on cluster size and target environment.
Hadoop Services – Q&A
Installing and tuning frameworks is only the beginning. A production-ready Hadoop solution requires careful architecture design, custom integration work, data pipeline engineering, and ongoing quality assurance. INNERLUXES handles the full scope — from initial setup to long-term optimization.
We de-risk through phased delivery, transparent roadmapping, and fixed-scope options where appropriate. A feasibility study and business case are completed before development begins, so you invest where it actually counts — not in guesswork.
Yes. While core Hadoop is batch-oriented, combining it with Apache Spark Streaming, Apache Kafka, or Apache Storm enables near-real-time and real-time processing. INNERLUXES architects the right combination for your latency requirements and data volumes.