MongoDB
Flexible, JSON-based document database built for high-speed read/write workloads, real-time analytics, and modern applications.
It is Yotta’s fully Managed Database-as-a-Service (MDBaaS) offering for Non-Relational Databases, designed for modern, distributed, and semi-structured or unstructured data workloads across diverse models — including document, key-value, wide-column, search, and big data engines.
It delivers automated, production-ready environments with high availability, elastic scaling, and enterprise-grade security.
From real-time analytics and caching to IoT data pipelines and petabyte-scale data lakes,
Yntraa Cloud provides a unified, secure, and efficient platform to run next-generation NoSQL and big data workloads.
Flexible, JSON-based document database built for high-speed read/write workloads, real-time analytics, and modern applications.
In-memory key-value database for ultra-fast caching, message queues, and real-time leaderboard or session management use cases.
Highly scalable, fault-tolerant wide-column database — perfect for time-series data, logs, IoT, and write-heavy applications.
Open-source search, log analytics, and observability engine built on Elasticsearch APIs — suitable for real-time search and telemetry.
Distributed search and analytics engine widely used for full-text search, log ingestion, and operational analytics.
Open-source big data framework for large-scale storage (HDFS) and batch processing (MapReduce, YARN) — ideal for data lakes and archival workloads.
Cassandra-compatible NoSQL engine built in C++ for extreme performance and lower latencies at massive scale.
A distributed NoSQL database combining the flexibility of JSON document storage with the performance of an in-memory key-value engine. Ideal for building responsive, scalable, and always-available applications across web, mobile, and IoT.
Use MongoDB for document workloads, Redis for caching, Cassandra for time-series & wide-column databases, or Elasticsearch & Opensearch for search, Hadoop for big data processing, ScyllaDB for streaming
Built-in replication, automated backups, and failover mechanisms ensure continuous uptime and disaster recovery.
End-to-end encryption, compliance, and proactive threat protection.
Easily scale out using sharding, distributed architecture, or in-memory caching — with low-latency performance across massive data volumes.
Power real-time analytics, event streaming, and log ingestion with engines built for speed, concurrency, and ingestion scale.
Data stays in India on MeitY-empaneled infrastructure, supporting BFSI, government, and enterprise mandates.
A cost-effective, fully managed MongoDB Community Edition for flexible JSON workloads.
What You Get
Unit of Measure:
Per GB
Readmore
An Enterprise-grade, fully managed MongoDB Enterprise Edition for mission-critical, high-performance workloads.
What You Get
Unit of Measure:
Per GB (minimum 3 nodes for HA)
Readmore
A cost-effective, fully managed Redis Community Edition for caching and real-time data.
What You Get
Unit of Measure:
Per GB – infrastructure billed separately
Readmore
An Enterprise-grade, fully managed Redis Enterprise Edition for mission-critical with HA, persistence, clustering, etc.
What You Get
Unit of Measure:
Per GB per Shard (25GB RAM per each shard, with minimum 2 shard to be subscribed for HA)
Readmore
A cost-effective, fully managed Cassandra Community Edition for high-write, distributed workloads.
What You Get
Unit of Measure:
Per Core
Readmore
An Enterprise-grade, fully managed Cassandra Enterprise Edition for mission-critical, high-performance advanced features and HA workloads.
What You Get
Unit of Measure:
Per Core (minimum 16 cores and 3 nodes for HA)
Readmore
A cost-effective, fully managed OpenSearch Community Edition for Search, logging, observability.
What You Get
Unit of Measure:
Per GB
Readmore
An Enterprise-grade, fully managed ElasticSearch Enterprise Edition for search & analytics workloads.
What You Get
Unit of Measure:
Per GB (minimum 3 nodes of 64GB RAM each to be subscribed for HA)
Readmore
A cost-effective, fully managed Hadoop Community Edition Distributed big data platform for ETL, data lakes & analytics.
What You Get
Unit of Measure:
Per Core (with minimum 5 nodes)
Readmore
An Enterprise-grade, fully managed ScyllaDB Enterprise Edition with Ultra-low latency NoSQL engine optimized for high throughput.
What You Get
Unit of Measure:
Per Core per TB storage (minimum 3 nodes for HA)
Readmore
A cost-effective, fully managed Couchbase Community Edition Distributed NoSQL for real-time applications and caching.
What You Get
Unit of Measure:
Per Core
Readmore
An Enterprise-grade, fully managed Couchbase Enterprise Edition with XDCR and advanced HA, for mission-critical, high-performance workloads.
What You Get
Unit of Measure:
Per Core (minimum 3 nodes of 4 cores for HA)
Readmore
To Keep your cost transparent and flexible, the database SKU and infrastructure SKU are separated. This ensures you pay only for the exact infrastructure you need — not bundled, pre-marked-up instance sizes found in other cloud platforms. At the end, the end user receives the PaaS DBaaS only as a fully managed offering. The total DBaaS cost is calculated as the sum of the Database SKU (managed services and support) and the separately billed infrastructure components (compute, memory, storage, network, OS, and security).
Whether you’re building a blazing-fast cache, capturing billions of sensor events, or indexing logs from your microservices —it helps you choose the right engine for the right job.
No guesswork. Just performance.
| Database | Data Model | Best For (Use Cases) | Why Choose This Engine |
| MongoDB | Document-oriented (JSON) | Content management, catalogs, IoT, flexible schema apps | Dynamic schemas, rich queries, developer-friendly, broad adoption |
| Redis | In-memory Key-Value | Caching, real-time analytics, gaming leaderboards, session stores | Ultra-low latency, high throughput, supports data structures beyond simple KV |
| Cassandra | Wide Column Store | Time-series data, sensor data, IoT, large-scale distributed workloads | Linear scalability, high write throughput, fault-tolerant |
| OpenSearch | Search / Analytics | Log analytics, observability, full-text search, dashboards | Open-source search & analytics, Kibana dashboards, SIEM-friendly |
| Elasticsearch | Search / Analytics | E-commerce search, monitoring, real-time application analytics | Mature search ecosystem, machine learning extensions, large community |
| Hadoop | Distributed File + Big Data | Batch analytics, data lakes, ETL pipelines, large-scale historical data processing | Proven big data framework, ecosystem (Hive, Spark), scalable for petabyte workloads |
| ScyllaDB | Wide Column Store | Real-time, high-throughput workloads (similar to Cassandra but faster) | Low-latency alternative to Cassandra, C++ architecture, high efficiency |
| Couchbase | Hybrid: Key-Value + Document | Real-time customer apps, mobile & offline-first apps, e-commerce, IoT, gaming | Combines KV speed + JSON flexibility, SQL-like query (N1QL), built-in caching & XDCR |
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.
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.
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.
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.
Absolutely. Hadoop under FlexiDB supports large-scale data lake creation, batch ETL pipelines, archival storage, and complex analytical workflows.
Yes. FlexiDB offers industry-grade SLAs based on your chosen service tier — with 24/7 monitoring, proactive support, and escalation paths for enterprise workloads.
You can use our 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.