Product Overview
Apache Hadoop is an open-source framework for distributed storage (HDFS) and parallel processing (MapReduce) of large datasets across clusters of computers. It enables batch analytics, data lake architectures, and long-term archival at scale.
FlexiDB offers Hadoop as a fully managed service with automated provisioning, scaling, job orchestration, and ecosystem integrations — so you can focus on extracting value from your big data and not managing clusters.
Built-in Technical Advantages: Key Features
Automated Operations & Intelligent Performance
FlexiDB automates the entire database lifecycle — deployment, configuration, patching, scaling, and failover. Intelligent performance tuning ensures optimal throughput and low latency without manual intervention.
Benefits:
- Automated provisioning, backups & failover
- Predictive scaling based on workload patterns
- Continuous I/O and query-path optimization
Flexible Deployment & Licensing Choices
Choose the edition that suits your needs — Open Source or Enterprise. Deploy the database on public, private, or hybrid cloud environments while remaining fully compliant with enterprise governance.
Benefits:
- Open-source or commercial license flexibility
- Multi-tenant or dedicated cluster options
- Supported across cloud, private DC, or hybrid setups
Enterprise-Grade Security & Compliance
Built on a Zero-Trust architecture, FlexiDB ensures end-to-end protection for sensitive workloads. All data is hosted within Yotta’s MeitY-empaneled, sovereign Tier IV data centers.
Benefits:
- Encryption in transit & at rest
- IAM, RBAC, auditing & access governance
- Compliance for BFSI, government & regulated sectors
High Availability & Fault Tolerance
FlexiDB delivers continuous uptime through automated replication, self-healing clusters, and disaster-ready architectures.
Benefits:
- Multi-zone replication
- Automated failover & node recovery
- SLA-backed resilience for mission-critical workloads
Elastic Scalability & Consistent Performance
Scale horizontally without re-architecting your applications. FlexiDB supports distributed clustering, sharding, and in-memory acceleration for predictable low-latency performance at any scale.
Benefits:
- Linear read/write scalability
- Independent scaling of compute & storage
- Auto-balancing for high concurrency workloads
Why Choose Hadoop for Your Workloads?
Efficient storage of petabyte-scale datasets via HDFS
Parallel processing using MapReduce or YARN-based frameworks
Wide integration with Hive, Spark, HBase, and more
Ideal for data lake, archival, ETL, and machine learning pipelines
Cost-effective long-term cold or warm storage
Use Cases
Data lakes and big data platforms
Centralize structured and unstructured data at petabyte scale
Batch ETL pipelines
Run data transformation jobs across massive input datasets
Long-term data archival
Store historical logs, events, and raw data at low cost
Analytics on clickstream or IoT data
Process time-series or sensor data in large volumes using Hive or Spark
ML model training on large datasets
Leverage distributed processing for feature engineering or model training at scale
Technical FAQs and Insights
What version of Hadoop is supported?
FlexiDB supports the latest and up to two prior (N–2) stable versions of each database engine. Since version updates vary by vendor, please refer to the Yntraa Cloud Assure portal for the most up-to-date list of supported versions.
Can I use Spark, Hive, or HBase with this?
Yes. We offer pre-integrated support for Spark, Hive, HBase, and other Hadoop ecosystem components.
What types of databases are included under FlexiDB?
Yntraa FlexiDB includes non-relational (NoSQL) and big data databases such as MongoDB, Redis, Cassandra, Couchbase, OpenSearch, Elasticsearch, Hadoop, and ScyllaDB. These cover a wide range of use cases — from document storage to real-time analytics and big data processing.
How is FlexiDB different from SutraDB?
While SutraDB focuses on relational (structured) databases like MySQL and PostgreSQL, FlexiDB is designed for unstructured or semi-structured workloads such as logs, documents, cache data, sensor feeds, and distributed storage.
Can I scale FlexiDB databases horizontally?
Yes. Most engines under FlexiDB, like Cassandra, ScyllaDB, MongoDB, and Elasticsearch, are designed for horizontal scalability and can be scaled easily across multiple nodes or shards.
Do I need to manage backups and monitoring myself?
No. FlexiDB is a fully managed platform. Backup automation, monitoring, high availability, and patching are all handled by Yntraa Cloud so you can focus on development.
Can I use FlexiDB for data lakes or big data batch processing?
Absolutely. Hadoop under FlexiDB supports large-scale data lake creation, batch ETL pipelines, archival storage, and complex analytical workflows.
Do you provide SLAs for availability and support?
Yes. FlexiDB offers industry-grade SLAs based on your chosen service tier — with 24/7 monitoring, proactive support, and escalation paths for enterprise workloads.
What if I need help selecting the right database?
You can use our Database Selector Tool or contact our team to help map your workload and data type to the best-fit engine — whether it’s key-value, document, columnar, or search.