# Top 10 Druid Alternatives & Competitors
**Average Rating:** 4.3/5
**Total Number of Reviews:** 31
Looking for alternatives or competitors to Druid? Time Series Databases is a widely used technology, and many people are seeking easily administered, powerful software solutions with data transformation, data modeling, and mobile user support. Other important factors to consider when researching alternatives to Druid include storage and analytics. The best overall Druid alternative is Snowflake. Other similar apps like Druid are Google Cloud BigQuery, Databricks, InfluxDB, and PostgreSQL. Druid alternatives can be found in [Time Series Databases](https://www.g2.com/categories/time-series-databases) but may also be in [Relational Databases](https://www.g2.com/categories/relational-databases) or [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse).


## Best Paid & Free Alternatives to Druid
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [InfluxDB](https://www.g2.com/products/influxdata-influxdb/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
  - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews)
  - [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
  - [MySQL](https://www.g2.com/products/mysql/reviews)
  - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)

## Top 10 Alternatives to Druid Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how Druid stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Computer & Network Security, and Marketing and Advertising, and find the best product for your business.


  ### 1. [Snowflake](https://www.g2.com/products/snowflake/reviews)
By Snowflake, Inc.
**Average Rating:** 4.5/5
**Total Reviews:** 761
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.


Reviewers say compared to Druid, Snowflake is:
- Easier to set up
- Easier to admin
- More expensive
Categories in common with Druid: [Columnar Databases](https://www.g2.com/categories/columnar-databases), [Data Warehouse](https://www.g2.com/categories/data-warehouse), [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)

**Compare:** [Druid vs Snowflake](https://www.g2.com/compare/druid-vs-snowflake)
**Compare Snowflake with other alternatives:**
- [Snowflake vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake)
- [Snowflake vs Databricks](https://www.g2.com/compare/databricks-vs-snowflake)
- [Snowflake vs InfluxDB](https://www.g2.com/compare/influxdata-influxdb-vs-snowflake)
- [Snowflake vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-snowflake)
- [Snowflake vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-snowflake)
- [Snowflake vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-snowflake)
- [Snowflake vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-snowflake)
- [Snowflake vs MySQL](https://www.g2.com/compare/mysql-vs-snowflake)
- [Snowflake vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-snowflake)

  ### 2. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
By Google
**Average Rating:** 4.5/5
**Total Reviews:** 1,223
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.


Reviewers say compared to Druid, Google Cloud BigQuery is:
- Easier to set up
- Easier to admin
- More expensive
Categories in common with Druid: [Columnar Databases](https://www.g2.com/categories/columnar-databases), [Data Warehouse](https://www.g2.com/categories/data-warehouse), [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)

**Compare:** [Druid vs Google Cloud BigQuery](https://www.g2.com/compare/druid-vs-google-cloud-bigquery)
**Compare Google Cloud BigQuery with other alternatives:**
- [Google Cloud BigQuery vs Snowflake](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake)
- [Google Cloud BigQuery vs Databricks](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs InfluxDB](https://www.g2.com/compare/google-cloud-bigquery-vs-influxdata-influxdb)
- [Google Cloud BigQuery vs PostgreSQL](https://www.g2.com/compare/google-cloud-bigquery-vs-postgresql)
- [Google Cloud BigQuery vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs IBM Db2](https://www.g2.com/compare/google-cloud-bigquery-vs-ibm-db2)
- [Google Cloud BigQuery vs Oracle Database](https://www.g2.com/compare/google-cloud-bigquery-vs-oracle-database)
- [Google Cloud BigQuery vs MySQL](https://www.g2.com/compare/google-cloud-bigquery-vs-mysql)
- [Google Cloud BigQuery vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-google-cloud-bigquery)

  ### 3. [Databricks](https://www.g2.com/products/databricks/reviews)
By Databricks Inc.
**Average Rating:** 4.6/5
**Total Reviews:** 1,357
Making big data simple


Reviewers say compared to Druid, Databricks is:
- More expensive
- Easier to set up
- Easier to admin
Categories in common with Druid: [Data Warehouse](https://www.g2.com/categories/data-warehouse), [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)

**Compare:** [Druid vs Databricks](https://www.g2.com/compare/databricks-vs-druid)
**Compare Databricks with other alternatives:**
- [Databricks vs Snowflake](https://www.g2.com/compare/databricks-vs-snowflake)
- [Databricks vs Google Cloud BigQuery](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery)
- [Databricks vs InfluxDB](https://www.g2.com/compare/databricks-vs-influxdata-influxdb)
- [Databricks vs PostgreSQL](https://www.g2.com/compare/databricks-vs-postgresql)
- [Databricks vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-databricks)
- [Databricks vs IBM Db2](https://www.g2.com/compare/databricks-vs-ibm-db2)
- [Databricks vs Oracle Database](https://www.g2.com/compare/databricks-vs-oracle-database)
- [Databricks vs MySQL](https://www.g2.com/compare/databricks-vs-mysql)
- [Databricks vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-databricks)

  ### 4. [InfluxDB](https://www.g2.com/products/influxdata-influxdb/reviews)
By InfluxData
**Average Rating:** 4.4/5
**Total Reviews:** 101
InfluxDB is the open source time series database


Reviewers say compared to Druid, InfluxDB is:
- Easier to set up
- Easier to admin
- Easier to do business with
Categories in common with Druid: [Real-time Analytic Database](https://www.g2.com/categories/real-time-analytic-database), [Time Series Databases](https://www.g2.com/categories/time-series-databases)

**Compare:** [Druid vs InfluxDB](https://www.g2.com/compare/druid-vs-influxdata-influxdb)
**Compare InfluxDB with other alternatives:**
- [InfluxDB vs Snowflake](https://www.g2.com/compare/influxdata-influxdb-vs-snowflake)
- [InfluxDB vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-influxdata-influxdb)
- [InfluxDB vs Databricks](https://www.g2.com/compare/databricks-vs-influxdata-influxdb)
- [InfluxDB vs PostgreSQL](https://www.g2.com/compare/influxdata-influxdb-vs-postgresql)
- [InfluxDB vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-influxdata-influxdb)
- [InfluxDB vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-influxdata-influxdb)
- [InfluxDB vs Oracle Database](https://www.g2.com/compare/influxdata-influxdb-vs-oracle-database)
- [InfluxDB vs MySQL](https://www.g2.com/compare/influxdata-influxdb-vs-mysql)
- [InfluxDB vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-influxdata-influxdb)

  ### 5. [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
By PostgreSQL
**Average Rating:** 4.4/5
**Total Reviews:** 684
PostgreSQL is a powerful, open-source object-relational database system renowned for its reliability, extensibility, and adherence to SQL standards. Originating from the POSTGRES project at the University of California at Berkeley in 1986, it has evolved over nearly four decades into a robust platform capable of handling complex data workloads across various operating systems. PostgreSQL's architecture emphasizes data integrity and scalability, making it a preferred choice for developers and organizations worldwide. Key Features and Functionality: - Comprehensive Data Types: Supports a wide range of data types, including primitives (Integer, Numeric, String, Boolean), structured (Date/Time, Array, Range), document (JSON/JSONB, XML), and geometric types. - Advanced Data Integrity: Ensures data accuracy through features like UNIQUE constraints, primary and foreign keys, exclusion constraints, and various locking mechanisms. - High Performance and Concurrency: Utilizes advanced indexing methods (B-tree, GiST, GIN, BRIN), a sophisticated query planner, multi-version concurrency control (MVCC), parallel query execution, and table partitioning to optimize performance. - Reliability and Disaster Recovery: Offers write-ahead logging (WAL), various replication methods (asynchronous, synchronous, logical), point-in-time recovery (PITR), and active standbys to ensure data durability and availability. - Robust Security Measures: Provides multiple authentication methods (GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, OAuth 2.0), a comprehensive access-control system, and supports multi-factor authentication. - Extensibility: Allows the creation of custom data types, functions, and operators. Supports procedural languages like PL/pgSQL, Perl, Python, and Tcl, with additional languages available through extensions. Primary Value and User Solutions: PostgreSQL addresses the needs of developers and organizations by offering a highly extensible and standards-compliant database system that ensures data integrity, scalability, and robust performance. Its open-source nature allows for continuous innovation and adaptability, enabling users to tailor the database to their specific requirements. Whether managing small applications or large-scale enterprise systems, PostgreSQL provides a reliable foundation for storing and processing data efficiently.


Reviewers say compared to Druid, PostgreSQL is:
- Easier to set up
- Easier to admin
- Easier to do business with
Categories in common with Druid: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Druid vs PostgreSQL](https://www.g2.com/compare/druid-vs-postgresql)
**Compare PostgreSQL with other alternatives:**
- [PostgreSQL vs Snowflake](https://www.g2.com/compare/postgresql-vs-snowflake)
- [PostgreSQL vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-postgresql)
- [PostgreSQL vs Databricks](https://www.g2.com/compare/databricks-vs-postgresql)
- [PostgreSQL vs InfluxDB](https://www.g2.com/compare/influxdata-influxdb-vs-postgresql)
- [PostgreSQL vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-postgresql)
- [PostgreSQL vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-postgresql)
- [PostgreSQL vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-postgresql)
- [PostgreSQL vs MySQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [PostgreSQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql)

  ### 6. [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.3/5
**Total Reviews:** 404
Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.


Reviewers say compared to Druid, Amazon Redshift is:
- Easier to set up
- Easier to admin
- More expensive
Categories in common with Druid: [Columnar Databases](https://www.g2.com/categories/columnar-databases), [Data Warehouse](https://www.g2.com/categories/data-warehouse)

**Compare:** [Druid vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-druid)
**Compare Amazon Redshift with other alternatives:**
- [Amazon Redshift vs Snowflake](https://www.g2.com/compare/amazon-redshift-vs-snowflake)
- [Amazon Redshift vs Google Cloud BigQuery](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery)
- [Amazon Redshift vs Databricks](https://www.g2.com/compare/amazon-redshift-vs-databricks)
- [Amazon Redshift vs InfluxDB](https://www.g2.com/compare/amazon-redshift-vs-influxdata-influxdb)
- [Amazon Redshift vs PostgreSQL](https://www.g2.com/compare/amazon-redshift-vs-postgresql)
- [Amazon Redshift vs IBM Db2](https://www.g2.com/compare/amazon-redshift-vs-ibm-db2)
- [Amazon Redshift vs Oracle Database](https://www.g2.com/compare/amazon-redshift-vs-oracle-database)
- [Amazon Redshift vs MySQL](https://www.g2.com/compare/amazon-redshift-vs-mysql)
- [Amazon Redshift vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-redshift-vs-amazon-relational-database-service-rds)

  ### 7. [IBM Db2](https://www.g2.com/products/ibm-db2/reviews)
By IBM
**Average Rating:** 4.1/5
**Total Reviews:** 683
IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs.


Reviewers say compared to Druid, IBM Db2 is:
- More expensive
- Easier to admin
- Easier to set up
Categories in common with Druid: [Relational Databases](https://www.g2.com/categories/relational-databases), [Data Warehouse](https://www.g2.com/categories/data-warehouse)

**Compare:** [Druid vs IBM Db2](https://www.g2.com/compare/druid-vs-ibm-db2)
**Compare IBM Db2 with other alternatives:**
- [IBM Db2 vs Snowflake](https://www.g2.com/compare/ibm-db2-vs-snowflake)
- [IBM Db2 vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-ibm-db2)
- [IBM Db2 vs Databricks](https://www.g2.com/compare/databricks-vs-ibm-db2)
- [IBM Db2 vs InfluxDB](https://www.g2.com/compare/ibm-db2-vs-influxdata-influxdb)
- [IBM Db2 vs PostgreSQL](https://www.g2.com/compare/ibm-db2-vs-postgresql)
- [IBM Db2 vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-ibm-db2)
- [IBM Db2 vs Oracle Database](https://www.g2.com/compare/ibm-db2-vs-oracle-database)
- [IBM Db2 vs MySQL](https://www.g2.com/compare/ibm-db2-vs-mysql)
- [IBM Db2 vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-ibm-db2)

  ### 8. [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
By Oracle
**Average Rating:** 4.3/5
**Total Reviews:** 1,017
Oracle Database is a comprehensive, multi-model database management system developed by Oracle Corporation. It is designed to handle various data types and workloads, including online transaction processing (OLTP), data warehousing, and mixed database operations. With its robust architecture, Oracle Database supports deployment across on-premises environments, cloud platforms, and hybrid configurations, offering flexibility and scalability to meet diverse business needs. Key Features and Functionality: - Multi-Model Support: Oracle Database accommodates various data models, including relational, document, graph, and key-value, enabling developers to work with diverse data types within a single platform. - Advanced Analytics: The database integrates advanced analytics capabilities, such as in-database machine learning and AI Vector Search, allowing users to perform complex analyses directly within the database environment. - High Availability and Scalability: Designed for mission-critical applications, Oracle Database offers features like data replication, backup, server clustering, and automatic storage management to ensure high availability and seamless scalability. - Security: With comprehensive security measures, including encryption, SQL Firewall, and data masking, Oracle Database safeguards sensitive information and maintains data integrity. - Multicloud Deployment: Oracle Database supports deployment across various cloud platforms, including Oracle Cloud Infrastructure, AWS, Microsoft Azure, and Google Cloud, providing flexibility and compliance with data residency requirements. Primary Value and Solutions Provided: Oracle Database addresses the complex data management needs of modern enterprises by offering a unified platform that supports multiple data models and workloads. Its integration of AI and machine learning capabilities enables organizations to derive actionable insights directly from their data, enhancing decision-making processes. The database's high availability and scalability ensure that businesses can maintain continuous operations and adapt to growing data demands. Additionally, its robust security features protect against data breaches and ensure compliance with regulatory standards. By supporting multicloud deployments, Oracle Database provides the flexibility to operate in various cloud environments, facilitating seamless integration and innovation across different platforms.


Reviewers say compared to Druid, Oracle Database is:
- More expensive
- Easier to admin
- Easier to set up
Categories in common with Druid: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Druid vs Oracle Database](https://www.g2.com/compare/druid-vs-oracle-database)
**Compare Oracle Database with other alternatives:**
- [Oracle Database vs Snowflake](https://www.g2.com/compare/oracle-database-vs-snowflake)
- [Oracle Database vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-oracle-database)
- [Oracle Database vs Databricks](https://www.g2.com/compare/databricks-vs-oracle-database)
- [Oracle Database vs InfluxDB](https://www.g2.com/compare/influxdata-influxdb-vs-oracle-database)
- [Oracle Database vs PostgreSQL](https://www.g2.com/compare/oracle-database-vs-postgresql)
- [Oracle Database vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-oracle-database)
- [Oracle Database vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-oracle-database)
- [Oracle Database vs MySQL](https://www.g2.com/compare/mysql-vs-oracle-database)
- [Oracle Database vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-oracle-database)

  ### 9. [MySQL](https://www.g2.com/products/mysql/reviews)
By Oracle
**Average Rating:** 4.4/5
**Total Reviews:** 1,681
MySQL is the world's most popular open-source database, renowned for its reliability, performance, and ease of use. It serves as the backbone for many high-profile web applications, including those of Facebook, Twitter, and YouTube. MySQL offers a comprehensive suite of features that cater to the needs of modern web, mobile, embedded, and cloud applications. Key Features and Functionality: - Transactional Data Dictionary: Implemented as a set of SQL tables stored in a single InnoDB tablespace, enhancing data management efficiency. - Common Table Expressions (CTEs): Also known as WITH queries, CTEs simplify complex queries and improve readability. - Window Functions: These functions reduce code complexity and boost developer productivity by allowing calculations across sets of table rows related to the current row. - Invisible Indexes: Facilitate better management of software upgrades and database changes for applications that require continuous operation. - Descending Indexes: Eliminate the need for sorting results, leading to performance improvements. - JSON Support: Includes the JSON\_TABLE() function, which accepts JSON data and returns it as a relational table, enhancing flexibility in data handling. - Document Store: Allows the development of both SQL and NoSQL document applications using a single database, providing versatility in application design. - SQL Roles: Simplify permission management by granting and denying permissions to groups of users, thereby reducing the security workload. - OpenSSL Integration: Utilizes OpenSSL as the default TLS/SSL library, ensuring secure data transmission. - Default to utf8mb4 Character Set: Supports richer mobile applications and international character sets, accommodating a global user base. - Geographic Information System (GIS) Enhancements: Supports geography and Spatial Reference Systems (SRS), enabling advanced spatial data analysis. - InnoDB Cluster: Provides improved high availability through integrated solutions. - InnoDB ClusterSet: Offers cross-region disaster recovery capabilities, ensuring data resilience. - Replication: Provides flexible topologies for scale-out and high availability, enhancing system robustness. - Reliability: Requires minimal intervention to achieve continuous uptime, ensuring consistent performance. - Partitioning: Improves performance and management of very large database environments by dividing tables into smaller, more manageable pieces. - ACID Transactions: Ensures reliable and secure business-critical applications by supporting Atomicity, Consistency, Isolation, and Durability. - Stored Procedures and Triggers: Enhance developer productivity and enforce complex business rules at the database level. - Views: Ensure sensitive information is not compromised by providing controlled access to data. - Ease of Use: Offers a "3 minutes from download to development" installation and configuration process, facilitating quick deployment. - Low Administration: Requires very little database maintenance, reducing operational overhead. Primary Value and User Solutions: MySQL delivers a robust, scalable, and secure database solution that addresses the needs of developers and enterprises alike. Its comprehensive feature set supports the development of high-performance applications across various platforms, including web, mobile, embedded, and cloud environments. By offering advanced functionalities such as ACID compliance, high availability, and flexible replication, MySQL ensures data integrity and reliability. Its ease of use and low administrative requirements enable organizations to reduce operational costs and accelerate time-to-market for their applications. Furthermore, MySQL's support for modern development practices, including JSON and NoSQL capabilities, allows developers to build versatile and future-proof applications.


Reviewers say compared to Druid, MySQL is:
- Easier to set up
- Easier to admin
- Easier to do business with
Categories in common with Druid: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Druid vs MySQL](https://www.g2.com/compare/druid-vs-mysql)
**Compare MySQL with other alternatives:**
- [MySQL vs Snowflake](https://www.g2.com/compare/mysql-vs-snowflake)
- [MySQL vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-mysql)
- [MySQL vs Databricks](https://www.g2.com/compare/databricks-vs-mysql)
- [MySQL vs InfluxDB](https://www.g2.com/compare/influxdata-influxdb-vs-mysql)
- [MySQL vs PostgreSQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [MySQL vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-mysql)
- [MySQL vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-mysql)
- [MySQL vs Oracle Database](https://www.g2.com/compare/mysql-vs-oracle-database)
- [MySQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mysql)

  ### 10. [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.5/5
**Total Reviews:** 908
Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.


Reviewers say compared to Druid, Amazon Relational Database Service (RDS) is:
- Easier to set up
- Easier to admin
- More expensive
Categories in common with Druid: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Druid vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-druid)
**Compare Amazon Relational Database Service (RDS) with other alternatives:**
- [Amazon Relational Database Service (RDS) vs Snowflake](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-snowflake)
- [Amazon Relational Database Service (RDS) vs Google Cloud BigQuery](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-google-cloud-bigquery)
- [Amazon Relational Database Service (RDS) vs Databricks](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-databricks)
- [Amazon Relational Database Service (RDS) vs InfluxDB](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-influxdata-influxdb)
- [Amazon Relational Database Service (RDS) vs PostgreSQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql)
- [Amazon Relational Database Service (RDS) vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-amazon-relational-database-service-rds)
- [Amazon Relational Database Service (RDS) vs IBM Db2](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-ibm-db2)
- [Amazon Relational Database Service (RDS) vs Oracle Database](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-oracle-database)
- [Amazon Relational Database Service (RDS) vs MySQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mysql)


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- [Video Conferencing Software](https://www.g2.com/categories/video-conferencing)
- [Employee Intranet Software](https://www.g2.com/categories/employee-intranet)
- [Pricing Software](https://www.g2.com/categories/pricing)