Last updated June 5th 2024

FaunaDB vs MariaDB for Cloud Database Management Systems (DBMS) in 2025

FaunaDB and MariaDB are sometimes compared for numerous use cases in Cloud Database Management Systems (DBMS). We have a detailed features table below. You can also customize your requirements and get expert ratings comparing these two solutions against hundreds of data points across Scalability, Security, Lifecycle, Pricing, Use Case Fit, Attack Protection, Access Controls, Integration, Administration, Traffic Management, Policy Management, Compliance, Authentication and Performance.

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FaunaDB logo

FaunaDB

FaunaDB is a NoSQL database that combines the security and scalability of the legacy relational world with the productivity and speed of the NoSQL world. It has an indexed document system that allows users to store relations, documents, or graphs.

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MariaDB logo

MariaDB

MariaDB is a community-developed, commercially supported fork of the MySQL relational database management system. It supports transactional, analytical, and hybrid workloads, as well as relational, JSON, and hybrid data models. It also scales well, from a standalone database to a full distributed SQL system, capable of handling large numbers of transaction volumes.

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Feature Comparison

Customize these feature priorities in Taloflow and get expert ratings for your exact use case.

Feature Dimensions Description FaunaDB MariaDB
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. OK OK
Good Pricing for Burst Usage Pattern
  • Pricing
The pricing structure is suitable for addressing various bursts in demand. OK OK
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 Good
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. OK OK
Good Pricing for Lots of Memory Consumption
  • Pricing
The pricing structure is suitable for use cases with lots of memory consumption. OK 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. OK OK
Alerting
  • Administration
Give timely wanings so that the problems can get resolved quickly. OK OK
Automated Management Utilities
  • Administration
Help administrators by automating DBA operations. OK OK
Capacity Planning
  • Administration
Capabilities for planning, monitoring and managing system capacity, including storage and system resource utilization. Poor OK
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. OK OK
Database Portability
  • Administration
Allows moving of the DBMS instance to another instance. Poor OK
Monitoring
  • Administration
Monitor and alert on potential issues, including performance issues. OK OK
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. Poor OK
Alteryx
  • Integration
Support available to integrate with Alteryx for metadata management. Poor Good
Apache Spark
  • Integration
Capability available to integrate with Apache Spark for analytics. Poor 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 OK
Denodo
  • Integration
Support available to integrate with Denodo for metadata management. Poor Good
Domo
  • Integration
Support available to integrate with Domo for BI and visualization. Poor Good
Informatica
  • Integration
Support available to integrate with Informatica for data integration. Poor Good
Knime
  • Integration
Support available to integrate with Knime for analytics. Poor Good
Metabase
  • Integration
Support available to integrate with Metabase for BI and visualization. Poor Good
OneTrust
  • Integration
Support available to integrate with OneTrust for metadata management. Poor OK
Pentaho
  • Integration
Support available to integrate with Pentaho for BI and visualization. Poor Good
Power BI
  • Integration
Support available to integrate with Power BI for analytics. OK Great
Qlik
  • Integration
Support available to integrate with Qlik for metadata management. Poor Good
SAS BI
  • Integration
Support available to integrate with SAS BI for BI and visualization. Poor Good
SnapLogic
  • Integration
Support available to integrate with SnapLogic for data integration. Poor Good
Splunk
  • Integration
Capability available to integrate with Splunk for analytics. Poor Good
Tableau
  • Integration
Support available to integrate with Tableau for analytics. Poor Good
Talend
  • Integration
Support available to integrate with Talend for data integration. Poor Good
Zoho BI and Analytics
  • Integration
Support available to integrate with Zoho for BI and visualization. Poor OK
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 OK
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. Great NA
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. NA NA
RBAC
  • Security
  • Compliance
Authorize and restrict access to specific database functions based on the user's role within the organization. OK OK
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. OK OK
Automated Query Governance
  • Performance
Analyzes the query and prevents it from executing unless it meets standards. Poor OK
Automated Tuning
  • Performance
Automatically tune functions without the help of administrators. OK 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. Poor OK
In-Memory Capability
  • Performance
Allows for the usage of a shared cache for faster user access to the data. Poor OK
Indexing Technology
  • Performance
Retrieve data from the database without having to read all of the data in storage. Poor OK
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 OK
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 OK
Parallel Utility Execution
  • Performance
Supports running utilities such as backup and recovery, free space reclamation, and index rebuild in parallel. Poor OK
Rule-Based Query Optimizer
  • Performance
Optimize the query based on a rule set that determines query execution. Poor OK
Storage Control
  • Performance
Control where data is stored based on specific locations. Poor OK
Auto-Scaling
  • Scalability
Analyzes utilization metrics and then adds and removes nodes automatically based on those metrics. Poor 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. OK OK
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 OK
Fast Loader
  • Scalability
Enables fast loading of bulk data (high volumes). Poor OK
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. Poor 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. OK OK
Activity Monitoring
  • Security
Monitor user activity and alerts when unusual behavior is detected. Poor OK
Column-Level Security
  • Security
Filter data and enable access to specific columns in a database table. Poor OK
Data Encryption
  • Security
Secure data with encryption in transit or when stored in the cloud. OK OK
Group-Level Security
  • Security
Group users by requirements and enforce security mechanisms for them. Poor OK
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. OK OK
Row-Level Security
  • Security
Filter data and enable access to specific rows in a database table. Poor OK
SQL Proxy
  • Security
Provide secure access to your database instance without configuring SSL or using authorized networks. Poor OK
AI and ML Library
  • Use Case Fit
AI and ML libraries to help with data exploration and preparation. Poor OK
API Access
  • Use Case Fit
Access data via APIs with JDBC and ODBC connectors. OK 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 OK
Bulk Data Loading
  • Use Case Fit
Supports fast loading of huge volumes of data. Poor OK
Cloud Object Store Support
  • Use Case Fit
Supports cloud object stores like Amazon S3, Azure Blob Storage, or Blackblaze B2. OK OK
Data Management
  • Use Case Fit
Provides a REST API for accessing and updating data in the database. OK OK
Data Mining
  • Use Case Fit
Extend SQL or stored procedures for data mining purposes. Poor OK
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. OK OK
Document Store
  • Use Case Fit
Store documents and query data like JSON, XML etc. OK OK
Graph Database
  • Use Case Fit
Store multi-relationship data coming from graph databases. OK Poor
Graph Language Support
  • Use Case Fit
Offers graph language support to query your data. OK Poor
Hybrid Cloud
  • Use Case Fit
Deployments can span cloud and on-premises environments. OK 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. OK OK
Key Value Support
  • Use Case Fit
Store data in a non-relational style using the key-value method. OK OK
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 OK
ML Model Creation
  • Use Case Fit
Suppors creating and executing machine learning models. OK OK
MultiDimensional Tables
  • Use Case Fit
Supports multidimensional tables if the database supports OLAP. Poor OK
MultiDimensional Views
  • Use Case Fit
Supports multidimensional views if the database supports OLAP. Poor OK
OLAP Database Support
  • Use Case Fit
Handle analytical queries as well as generate multidimensional data models. Poor OK
Query Virtualization
  • Use Case Fit
Query data managed in another DBMS or file system. Poor OK
Real-Time Data Loading
  • Use Case Fit
Supports continuous or real-time data upload without degrading performance. OK OK
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. OK Poor
User Defined Function
  • Use Case Fit
Create user-defined functions using SQL or JS code. OK OK
dbPaaS
  • Use Case Fit
The vendor is responsible for all aspects of administration. OK OK

Related Comparisons

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Filter solutions based on your priorities
Evaluate vendors for your exact use case
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