YugabyteDB
Relational databases
Wide column database software
Database management systems (DBMS)
Database as a service (DBaaS) providers
Database software
NoSQL databases
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if YugabyteDB and its alternatives fit your requirements.
$125 per vCPU per month
Free TrialFree version
Small
Medium
Large
- Information technology and software
- Retail and wholesale
- Transportation and logistics
What is YugabyteDB
YugabyteDB is a distributed database management system designed for high availability and horizontal scalability while providing SQL query support. It targets teams building cloud-native applications that need strong consistency, multi-region deployment, and compatibility with common PostgreSQL tools and drivers. The product combines a PostgreSQL-compatible SQL layer with a distributed storage layer and also exposes an API compatible with Cassandra-style wide-column access patterns. It is available as self-managed software and as a managed service (YugabyteDB Managed).
PostgreSQL-compatible SQL interface
YugabyteDB provides a PostgreSQL-compatible API (YSQL), which can reduce application changes compared with adopting a non-SQL database. It supports common PostgreSQL drivers and many ecosystem tools used for schema management and application connectivity. This helps teams standardize on SQL while moving to a distributed architecture. Compatibility is not identical to PostgreSQL for all extensions and edge features, but the interface is designed for familiar development workflows.
Distributed, fault-tolerant architecture
The database is built for replication and automatic failover across nodes, supporting high availability without relying on a single primary instance. It supports multi-zone and multi-region deployments to improve resilience and reduce downtime risk. Data is sharded and replicated, enabling horizontal scaling for write and read workloads. This architecture aligns with use cases where traditional single-node relational deployments become operationally constrained.
Multiple APIs for workloads
In addition to SQL, YugabyteDB offers a Cassandra-compatible API (YCQL) for wide-column access patterns. This can support applications that prefer key-value or wide-column modeling while keeping a single underlying platform. It provides flexibility for mixed workloads and incremental modernization of services. Teams can choose the API per service while operating one database system.
Operational complexity at scale
Running a distributed database typically requires more operational expertise than a single-instance relational system, including capacity planning, node management, and failure-domain design. Performance troubleshooting can involve understanding distributed query execution, replication, and compaction behaviors. Self-managed deployments often require Kubernetes or similar automation to achieve consistent operations. Managed service options reduce this burden but may not fit all compliance or deployment constraints.
PostgreSQL feature gaps
Although the SQL layer targets PostgreSQL compatibility, not all PostgreSQL extensions and advanced features are supported or behave identically. Some workloads that depend on specific extension ecosystems or nuanced PostgreSQL behaviors may require validation and refactoring. Version alignment with upstream PostgreSQL can lag, affecting access to the newest PostgreSQL capabilities. This can be a constraint for organizations standardizing tightly on specific PostgreSQL versions and extensions.
Latency and cost trade-offs
Strong consistency with replication across nodes and regions can introduce additional latency compared with single-node deployments, especially for cross-region writes. Achieving high availability typically requires multiple replicas, increasing infrastructure footprint and cost. Workloads with strict low-latency requirements may need careful placement, partitioning, and tuning. These trade-offs are common for distributed databases but can surprise teams migrating from simpler deployments.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Standard | $125 per vCPU / month | Core DB features (PostgreSQL YSQL, Cassandra YCQL), single-region/zone-level resilience; storage & data transfer billed separately. |
| Professional | $167 per vCPU / month | Advanced multi-region capabilities, region-level resilience, data-residency features; Professional add-ons available (see below); storage & data transfer billed separately. |
| Enterprise | Custom pricing — contact sales | Enterprise-grade features, higher performance/availability, enterprise security and integrations; contact Yugabyte for pricing. |
Additional rate card (from official pricing page and docs):
| Dimension | Rate |
|---|---|
| Disk storage | $0.10 / GB per month |
| Cloud backup storage | $0.025 / GB per month |
| Data transfer – Same region | $0.01 / GB |
| Data transfer – Cross region (APAC) | $0.08 / GB |
| Data transfer – Cross region (Other regions) | $0.02 / GB |
| Data transfer – Internet | $0.10 / GB |
| Provisioned Disk IOPS (AWS only) | $0.0066 / provisioned IOPS per month |
Professional-tier add-ons (also included in Enterprise):
| Add-on | Price |
|---|---|
| Enterprise Security (SSO, audit log retention, CMEK, advanced security profile) | $25 / vCPU / month |
| Business Continuity & Disaster Recovery (PITR, DR workflows) | $25 / vCPU / month |
Seller details
Yugabyte, Inc.
Sunnyvale, California, USA
2016
Private
https://www.yugabyte.com/
https://x.com/yugabyte
https://www.linkedin.com/company/yugabyte/
