CockroachDB vs Couchbase for Cloud Database Management Systems (DBMS) in 2025

CockroachDB

CockroachDB is a cloud-native, distributed SQL database designed for building, scaling, and managing modern, data-intensive applications. It has a single-tenant offering and a serverless, multi-tenant offering. It also has an auto-sharding feature to handle workloads and features to handle unpredictability.

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Couchbase

Couchbase Capella is a multi-modal NoSQL database with a focus on non-relational databases. Capella provides the flexibility of a document database with the familiarity of a relational database for developers. It stores data in JSON, making it easier for modern apps to retrieve data easily.

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Feature Comparison

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Feature	Dimensions	Description	CockroachDB	Couchbase
Good Pricing for Bounded Consumption	Pricing	The pricing structure is suitable for use cases where it's equally important to have some scalability to meet changes in resource demand and some pricing predictability.	Poor	OK
Good Pricing for Burst Usage Pattern	Pricing	The pricing structure is suitable for addressing various bursts in demand.	Poor	NA
Good Pricing for Lots of CPU Consumption	Pricing	The pricing structure is suitable for use cases with lots of CPU consumption.	OK	OK
Good Pricing for Lots of Data	Pricing	The pricing structure is suitable for use cases with lots of data.	OK	OK
Good Pricing for Lots of Data Indexing	Pricing	The pricing structure is suitable for use cases with lots of data indexing	NA	NA
Good Pricing for Lots of Data Transfer	Pricing	The pricing structure is suitable for use cases with lots of data transfer.	NA	NA
Good Pricing for Lots of Memory Consumption	Pricing	The pricing structure is suitable for use cases with lots of memory consumption.	NA	OK
Transport Layer Security	Administration Security Pricing Use Case Fit	Enables transport layer security between database servers and client applications.	OK	OK
User Authentication	Scalability Security Pricing Use Case Fit Administration Compliance Performance	Verify the identity of users attempting to access database instances.	Poor	Poor
Alerting	Administration	Give timely wanings so that the problems can get resolved quickly.	Poor	Poor
Automated Management Utilities	Administration	Help administrators by automating DBA operations.	Poor	OK
Capacity Planning	Administration	Capabilities for planning, monitoring and managing system capacity, including storage and system resource utilization.	Poor	Poor
Change Management	Administration	Enable change management across multiple instances of the same database.	OK	OK
Containers and Orchestration	Administration	Supports external container and orchestration environments like Kubernetes, Docker, etc.	Poor	Poor
Database Portability	Administration	Allows moving of the DBMS instance to another instance.	Poor	Poor
Monitoring	Administration	Monitor and alert on potential issues, including performance issues.	Poor	Poor
Operational Reporting	Administration	Provides reports on day-to-day activities on the DBMS.	OK	OK
Workload Management	Administration	Monitor and manage workloads including concurrency, long-running queries, prioritization of competing workloads, etc.	OK	OK
Alteryx	Integration	Support available to integrate with Alteryx for metadata management.	Good	Good
Apache Spark	Integration	Capability available to integrate with Apache Spark for analytics.	Good	Good
Azure Data Factory	Integration	Support available to integrate with Azure Data Factory for data integration.	Poor	Good
Boomi	Integration	Support available to integrate with Boomi for data integration.	Poor	Good
Collibra	Integration	Support available to integrate with Collibra for metadata management.	Poor	Good
Denodo	Integration	Support available to integrate with Denodo for metadata management.	Good	OK
Domo	Integration	Support available to integrate with Domo for BI and visualization.	Good	Good
Informatica	Integration	Support available to integrate with Informatica for data integration.	Good	Great
Knime	Integration	Support available to integrate with Knime for analytics.	Good	OK
Metabase	Integration	Support available to integrate with Metabase for BI and visualization.	Good	Poor
OneTrust	Integration	Support available to integrate with OneTrust for metadata management.	Poor	Poor
Pentaho	Integration	Support available to integrate with Pentaho for BI and visualization.	Good	OK
Power BI	Integration	Support available to integrate with Power BI for analytics.	Great	Good
Qlik	Integration	Support available to integrate with Qlik for metadata management.	OK	OK
SAS BI	Integration	Support available to integrate with SAS BI for BI and visualization.	OK	OK
SnapLogic	Integration	Support available to integrate with SnapLogic for data integration.	Good	Good
Splunk	Integration	Capability available to integrate with Splunk for analytics.	Good	Good
Tableau	Integration	Support available to integrate with Tableau for analytics.	Good	Good
Talend	Integration	Support available to integrate with Talend for data integration.	Good	Great
Zoho BI and Analytics	Integration	Support available to integrate with Zoho for BI and visualization.	Poor	Poor
CCPA	Compliance	Regulation on data protection and privacy of the data tied to residents of California.	Great	Great
Data Masking	Security Compliance	Selectively obscure column data from users while still allowing access to the column.	Poor	Poor
FFIEC	Compliance	Complies with the encryption requirements for all online transaction processing (OLTP) done by financial institutions.	NA	NA
FISMA	Compliance	Compliance with U.S. government legislation that defines a comprehensive framework that protects government information, operations, and assets against threats.	NA	Great
FedRAMP	Compliance	Ensures that the government security requirements outlined in NIST 800-53 are met and supplemented by the PMO of FedRAMP.	Great	Great
GDPR	Compliance	Regulation on data protection and privacy of the data tied to citizens and residents of EU countries.	Great	Great
HIPAA	Compliance	Demonstrates security and compliance with standards of the healthcare industry.	Great	Great
HITRUST	Compliance	Demonstrates compliance with HITRUST CSF, an industry-agnostic certifiable framework for regulatory compliance and risk management. This framework, developed by the not-for-profit organization HITRUST, contains a set of prescriptive controls that relate to the organizational processes and technical controls for processing, storing, and transmitting sensitive data.	NA	NA
IRAP	Compliance	Australian government standard for assessing the implementation and effectiveness of an organization’s security controls against the Australian government’s security requirements.	NA	NA
MTCS	Compliance	Multi-tier cloud security standard set up by the government of Singapore.	NA	NA
PCI	Compliance	Standard that ensures security guidelines are met for all entities that store, process, or transmit cardholder data and/or sensitive authentication data.	Great	Great
PSD2	Compliance	Demonstrates compliance with European regulations related to the Payment Services Directive.	Great	Great
RBAC	Security Compliance	Authorize and restrict access to specific database functions based on the user's role within the organization.	Poor	Poor
SOC	Compliance	Standard promoted by the American Institute of CPAs that ensures the integrity and privacy of customer data.	Great	Great
SOX	Compliance	Standard for public companies that ensures that annual audits take place and are legally-required to show evidence of accurate and secure financial reporting.	NA	NA
Streaming Data Support	Security Use Case Fit Compliance	Supports storing, processing or integrating with streaming data.	Poor	Poor
Automated Query Governance	Performance	Analyzes the query and prevents it from executing unless it meets standards.	Poor	Poor
Automated Tuning	Performance	Automatically tune functions without the help of administrators.	Poor	Poor
Clustering	Performance	Increases processing power by connecting multiple database instances.	Poor	OK
Cost-Based Query Optimizer	Performance	Optimize the query based on query plan cost that determines which query plan to run with.	OK	OK
In-Memory Capability	Performance	Allows for the usage of a shared cache for faster user access to the data.	Poor	Poor
Indexing Technology	Performance	Retrieve data from the database without having to read all of the data in storage.	Poor	Poor
Manual Tuning	Performance	Allows database administrators to directly make changes to parameters.	Poor	Poor
Multiple Application Clustered Node	Performance	Supports running multiple applications across the cluster.	Poor	OK
Node Volume Limitation	Performance	Set a maximum volume for data storage.	Poor	Poor
Parallel Query Execution	Performance	Increases the execution speed of SQL queries by creating multiple query processes that divide the workload of a SQL statement and execute it in parallel.	Poor	Poor
Parallel Utility Execution	Performance	Supports running utilities such as backup and recovery, free space reclamation, and index rebuild in parallel.	Poor	Poor
Rule-Based Query Optimizer	Performance	Optimize the query based on a rule set that determines query execution.	Poor	Poor
Storage Control	Performance	Control where data is stored based on specific locations.	Poor	Poor
Auto-Scaling	Scalability	Analyzes utilization metrics and then adds and removes nodes automatically based on those metrics.	OK	OK
Automated Data Backup and Recovery	Scalability	Supports automatically backing up data in case of loss and setting up secure systems for data recovery.	OK	OK
Automated Failover	Scalability	Supports automated failover to a disaster recovery site.	Poor	Poor
Data Partitioning	Scalability	Supports dividing data sets and distributing data over multiple servers.	Poor	OK
Database Replication	Scalability	Creates a copy of the data available in the database in a disaster recovery environment.	OK	OK
Disaster Recovery	Scalability	Supports disaster recovery and provides processing continuity when a region fails or becomes unavailable.	OK	OK
Fast Export	Scalability	Quickly export data from the database.	Poor	Poor
Fast Loader	Scalability	Enables fast loading of bulk data (high volumes).	Poor	Poor
Fault Tolerance	Scalability	Run operations without interruption when one or more components fail.	OK	OK
High Availability	Scalability	Has a high availability environment for running critical production workloads.	OK	OK
Network Load Balancing	Scalability	Distribute the load between application and database servers.	OK	OK
Online Patching and Upgrades	Scalability	Allows for the patching and upgrade of the DBMS without loss of production in a zero-downtime or near-zero-downtime environment.	OK	OK
Redundancy	Scalability	Supports data redundancy or geographic redundancy.	OK	OK
Regional Scalability	Scalability	Scalable across multiple regions.	OK	OK
VLDB Support	Scalability	Supports very large databases for online transaction processing (OLTP) applications.	Poor	Poor
Activity Monitoring	Security	Monitor user activity and alerts when unusual behavior is detected.	Poor	Poor
Column-Level Security	Security	Filter data and enable access to specific columns in a database table.	Poor	Poor
Data Encryption	Security	Secure data with encryption in transit or when stored in the cloud.	Poor	Poor
Group-Level Security	Security	Group users by requirements and enforce security mechanisms for them.	Poor	Poor
Identity Management	Security	Natively provides identity management or integrates with identity management tools for authentication and access control.	Poor	OK
Key Management	Security	Natively provides key management or integrates with key management tools for creating, managing and controlling cryptographic keys.	Poor	OK
Row-Level Security	Security	Filter data and enable access to specific rows in a database table.	Poor	Poor
SQL Proxy	Security	Provide secure access to your database instance without configuring SSL or using authorized networks.	Poor	Poor
AI and ML Library	Use Case Fit	AI and ML libraries to help with data exploration and preparation.	Poor	Poor
API Access	Use Case Fit	Access data via APIs with JDBC and ODBC connectors.	Poor	OK
Automated Data Mart	Use Case Fit	Supports managing an ad hoc data mart or data warehouse setup, control and deletion in support of an internal, private cloud computing model.	Poor	Poor
Bulk Data Loading	Use Case Fit	Supports fast loading of huge volumes of data.	OK	OK
Cloud Object Store Support	Use Case Fit	Supports cloud object stores like Amazon S3, Azure Blob Storage, or Blackblaze B2.	Poor	Poor
Data Management	Use Case Fit	Provides a REST API for accessing and updating data in the database.	Poor	Poor
Data Mining	Use Case Fit	Extend SQL or stored procedures for data mining purposes.	Poor	Poor
Data Virtualization	Use Case Fit	Support available in the DBMS for data virtualization tools so that it can act as a hub for data collection.	Poor	Poor
Document Store	Use Case Fit	Store documents and query data like JSON, XML etc.	Poor	OK
Graph Database	Use Case Fit	Store multi-relationship data coming from graph databases.	Poor	Poor
Graph Language Support	Use Case Fit	Offers graph language support to query your data.	Poor	Poor
Hybrid Cloud	Use Case Fit	Deployments can span cloud and on-premises environments.	Poor	OK
Industry Specific Data Models	Use Case Fit	Supports industry specfic data models for industries like finance, healthcare, retail, etc.	Poor	Poor
Integrated Search	Use Case Fit	Has integrated search capabilities with Elasticsearch, Splunk, etc.	Poor	Poor
Key Value Support	Use Case Fit	Store data in a non-relational style using the key-value method.	OK	Poor
Logical Data Warehousing	Use Case Fit	Support available in the DBMS to treat it as a warehouse for analytics, scale and ease of use.	Poor	Poor
ML Model Creation	Use Case Fit	Suppors creating and executing machine learning models.	Poor	OK
MultiDimensional Tables	Use Case Fit	Supports multidimensional tables if the database supports OLAP.	OK	Poor
MultiDimensional Views	Use Case Fit	Supports multidimensional views if the database supports OLAP.	Poor	Poor
OLAP Database Support	Use Case Fit	Handle analytical queries as well as generate multidimensional data models.	Poor	Poor
Query Virtualization	Use Case Fit	Query data managed in another DBMS or file system.	Poor	Poor
Real-Time Data Loading	Use Case Fit	Supports continuous or real-time data upload without degrading performance.	Poor	Poor
Self-Hosted Cloud	Use Case Fit	Self-hosted option for provisioning cloud infrastructure, including servers, storage, and connectivity.	OK	OK
Serverless Architecture	Use Case Fit	Support available in the database for a serverless architecture to help manage the workload.	OK	OK
Time Series Support	Use Case Fit	Store data collected over time intervals.	Poor	OK
User Defined Function	Use Case Fit	Create user-defined functions using SQL or JS code.	Poor	Poor
dbPaaS	Use Case Fit	The vendor is responsible for all aspects of administration.	OK	OK

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