Infinidb
Database management systems (DBMS)
Columnar databases
Database software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Infinidb
InfiniDB is a column-oriented, distributed relational database designed for large-scale analytic (OLAP) workloads. It uses a shared-nothing architecture and SQL interface to support reporting and query-heavy use cases on large datasets. The product is commonly deployed on commodity hardware and is typically used by data engineering and BI teams that need scalable analytical storage and query execution.
Distributed shared-nothing design
InfiniDB is built to scale out across multiple nodes rather than relying on a single server. This approach supports growth in data volume and concurrent analytic workloads by adding compute/storage resources. It fits environments that prefer horizontal scaling on commodity infrastructure.
Columnar OLAP query performance
InfiniDB stores data in a columnar format, which is well-suited to scan-heavy analytical queries and aggregations. This design can reduce I/O for queries that touch a subset of columns and supports common BI/reporting patterns. It aligns with the core capabilities expected of analytical column stores in this category.
SQL-based relational access
InfiniDB provides SQL access, which lowers adoption friction for teams already using relational query tooling and skills. SQL support enables integration with many ETL/ELT pipelines and BI/reporting tools through standard database connectivity. This makes it practical for organizations standardizing on SQL for analytics.
Limited modern ecosystem visibility
Compared with widely adopted analytics platforms, InfiniDB has less visible momentum in current cloud-native data stacks and fewer commonly referenced integrations. This can increase effort to find up-to-date deployment patterns, community guidance, and third-party tooling support. Buyers may need to validate connector compatibility and operational practices more thoroughly.
Operational complexity for scaling
Distributed, shared-nothing systems typically require careful planning for node sizing, data distribution, and fault handling. Day-2 operations can involve monitoring multiple services and coordinating upgrades across a cluster. Teams without strong database operations experience may face a higher administration burden than with fully managed services.
Not optimized for OLTP workloads
As a columnar analytical database, InfiniDB is generally a poor fit for high-frequency transactional workloads that require many small point updates and low-latency single-row operations. Mixed workloads may require separating transactional systems from analytics or using additional components. Organizations should validate write/update patterns and concurrency requirements during evaluation.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| InfiniDB Community Edition | Free | GPL-licensed community edition; core column-store features, MySQL front-end, single-node (no MPP), community/online forum support. |
| InfiniDB Enterprise Edition | Per-module / Contact sales (no public list price) | Commercial enterprise edition adds MPP multi-node scale-out, centralized admin/monitoring, notifications/alerts, production support, and additional enterprise features. 30-day evaluation is offered on the vendor site. |
Seller details
InfiniDB (open-source project; originally developed by Calpont Corporation)
Open Source
