# Top 10 Volt Active Data Alternatives &amp; Competitors
**Average Rating:** 4.3/5
**Total Number of Reviews:** 6
Volt Active Data is not the only option for Relational Databases. Explore other competing options and alternatives. Relational Databases is a widely used technology, and many people are seeking popular, user friendly software solutions with data transformation, data modeling, and customization . Other important factors to consider when researching alternatives to Volt Active Data include reliability and ease of use. The best overall Volt Active Data alternative is Microsoft SQL Server. Other similar apps like Volt Active Data are MySQL, PostgreSQL, Oracle Database, and Amazon Relational Database Service (RDS). Volt Active Data alternatives can be found in [Relational Databases](https://www.g2.com/categories/relational-databases) but may also be in [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) or [Database as a Service (DBaaS) Providers](https://www.g2.com/categories/database-as-a-service-dbaas).


## Best Paid &amp; Free Alternatives to Volt Active Data
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
  - [MySQL](https://www.g2.com/products/mysql/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
  - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)
  - [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)
  - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)

## Top 10 Alternatives to Volt Active Data Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how Volt Active Data stacks up to the competition, check reviews from current &amp; previous users in industries like Computer Software, Information Technology and Services, and Automotive, and find the best product for your business.


  ### 1. [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
By Microsoft
**Average Rating:** 4.4/5
**Total Reviews:** 2,287
SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.


Reviewers say compared to Volt Active Data, Microsoft SQL Server is:
- More usable
- Better at meeting requirements
- Better at support
Categories in common with Volt Active Data: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Volt Active Data vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-volt-active-data)
**Compare Microsoft SQL Server with other alternatives:**
- [Microsoft SQL Server vs MySQL](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)
- [Microsoft SQL Server vs PostgreSQL](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)
- [Microsoft SQL Server vs Oracle Database](https://www.g2.com/compare/microsoft-sql-server-vs-oracle-database)
- [Microsoft SQL Server vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-microsoft-sql-server)
- [Microsoft SQL Server vs SAP HANA Cloud](https://www.g2.com/compare/microsoft-sql-server-vs-sap-hana-cloud-2025-10-01)
- [Microsoft SQL Server vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/microsoft-sql-server-vs-teradata-autonomous-knowledge-platform)
- [Microsoft SQL Server vs Databricks](https://www.g2.com/compare/databricks-vs-microsoft-sql-server)
- [Microsoft SQL Server vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-microsoft-sql-server)
- [Microsoft SQL Server vs SAS Viya](https://www.g2.com/compare/microsoft-sql-server-vs-sas-sas-viya)

  ### 2. [MySQL](https://www.g2.com/products/mysql/reviews)
By Oracle
**Average Rating:** 4.4/5
**Total Reviews:** 1,682
MySQL is the world&#39;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 &quot;3 minutes from download to development&quot; 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&#39;s support for modern development practices, including JSON and NoSQL capabilities, allows developers to build versatile and future-proof applications.


Reviewers say compared to Volt Active Data, MySQL is:
- More usable
- Better at meeting requirements
- Better at support
Categories in common with Volt Active Data: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Volt Active Data vs MySQL](https://www.g2.com/compare/mysql-vs-volt-active-data)
**Compare MySQL with other alternatives:**
- [MySQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)
- [MySQL vs PostgreSQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [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)
- [MySQL vs SAP HANA Cloud](https://www.g2.com/compare/mysql-vs-sap-hana-cloud-2025-10-01)
- [MySQL vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/mysql-vs-teradata-autonomous-knowledge-platform)
- [MySQL vs Databricks](https://www.g2.com/compare/databricks-vs-mysql)
- [MySQL vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-mysql)
- [MySQL vs SAS Viya](https://www.g2.com/compare/mysql-vs-sas-sas-viya)

  ### 3. [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&#39;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 Volt Active Data, PostgreSQL is:
- More usable
- Better at meeting requirements
- Better at support
Categories in common with Volt Active Data: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Volt Active Data vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-volt-active-data)
**Compare PostgreSQL with other alternatives:**
- [PostgreSQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)
- [PostgreSQL vs MySQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [PostgreSQL vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-postgresql)
- [PostgreSQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql)
- [PostgreSQL vs SAP HANA Cloud](https://www.g2.com/compare/postgresql-vs-sap-hana-cloud-2025-10-01)
- [PostgreSQL vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/postgresql-vs-teradata-autonomous-knowledge-platform)
- [PostgreSQL vs Databricks](https://www.g2.com/compare/databricks-vs-postgresql)
- [PostgreSQL vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-postgresql)
- [PostgreSQL vs SAS Viya](https://www.g2.com/compare/postgresql-vs-sas-sas-viya)

  ### 4. [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
By Oracle
**Average Rating:** 4.3/5
**Total Reviews:** 1,021
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&#39;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 Volt Active Data, Oracle Database is:
- More usable
- Better at meeting requirements
- Better at support
Categories in common with Volt Active Data: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Volt Active Data vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-volt-active-data)
**Compare Oracle Database with other alternatives:**
- [Oracle Database vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-oracle-database)
- [Oracle Database vs MySQL](https://www.g2.com/compare/mysql-vs-oracle-database)
- [Oracle Database vs PostgreSQL](https://www.g2.com/compare/oracle-database-vs-postgresql)
- [Oracle Database vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-oracle-database)
- [Oracle Database vs SAP HANA Cloud](https://www.g2.com/compare/oracle-database-vs-sap-hana-cloud-2025-10-01)
- [Oracle Database vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/oracle-database-vs-teradata-autonomous-knowledge-platform)
- [Oracle Database vs Databricks](https://www.g2.com/compare/databricks-vs-oracle-database)
- [Oracle Database vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-oracle-database)
- [Oracle Database vs SAS Viya](https://www.g2.com/compare/oracle-database-vs-sas-sas-viya)

  ### 5. [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:** 909
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 Volt Active Data, Amazon Relational Database Service (RDS) is:
- More usable
- Better at support
- Better at meeting requirements
Categories in common with Volt Active Data: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Volt Active Data vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-volt-active-data)
**Compare Amazon Relational Database Service (RDS) with other alternatives:**
- [Amazon Relational Database Service (RDS) vs Microsoft SQL Server](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-microsoft-sql-server)
- [Amazon Relational Database Service (RDS) vs MySQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mysql)
- [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 Oracle Database](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-oracle-database)
- [Amazon Relational Database Service (RDS) vs SAP HANA Cloud](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-sap-hana-cloud-2025-10-01)
- [Amazon Relational Database Service (RDS) vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-teradata-autonomous-knowledge-platform)
- [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 Google Cloud BigQuery](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-google-cloud-bigquery)
- [Amazon Relational Database Service (RDS) vs SAS Viya](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-sas-sas-viya)

  ### 6. [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)
By SAP
**Average Rating:** 4.3/5
**Total Reviews:** 620
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.


Reviewers say compared to Volt Active Data, SAP HANA Cloud is:
- More usable
- Better at support
- Better at meeting requirements
Categories in common with Volt Active Data: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Volt Active Data vs SAP HANA Cloud](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-volt-active-data)
**Compare SAP HANA Cloud with other alternatives:**
- [SAP HANA Cloud vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs MySQL](https://www.g2.com/compare/mysql-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-teradata-autonomous-knowledge-platform)
- [SAP HANA Cloud vs Databricks](https://www.g2.com/compare/databricks-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs SAS Viya](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-sas-sas-viya)

  ### 7. [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)
By Teradata Autonomous Knowledge Platform
**Average Rating:** 4.3/5
**Total Reviews:** 376
Teradata Autonomous Knowledge Platform easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.


Reviewers say compared to Volt Active Data, Teradata Autonomous Knowledge Platform is:
- More usable
- Better at support
- Better at meeting requirements
Categories in common with Volt Active Data: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Volt Active Data vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/teradata-autonomous-knowledge-platform-vs-volt-active-data)
**Compare Teradata Autonomous Knowledge Platform with other alternatives:**
- [Teradata Autonomous Knowledge Platform vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs MySQL](https://www.g2.com/compare/mysql-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs SAP HANA Cloud](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Databricks](https://www.g2.com/compare/databricks-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs SAS Viya](https://www.g2.com/compare/sas-sas-viya-vs-teradata-autonomous-knowledge-platform)

  ### 8. [Databricks](https://www.g2.com/products/databricks/reviews)
By Databricks Inc.
**Average Rating:** 4.6/5
**Total Reviews:** 1,366
Making big data simple


Reviewers say compared to Volt Active Data, Databricks is:
- More usable
- Better at support
- Better at meeting requirements
Categories in common with Volt Active Data: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)

**Compare:** [Volt Active Data vs Databricks](https://www.g2.com/compare/databricks-vs-volt-active-data)
**Compare Databricks with other alternatives:**
- [Databricks vs Microsoft SQL Server](https://www.g2.com/compare/databricks-vs-microsoft-sql-server)
- [Databricks vs MySQL](https://www.g2.com/compare/databricks-vs-mysql)
- [Databricks vs PostgreSQL](https://www.g2.com/compare/databricks-vs-postgresql)
- [Databricks vs Oracle Database](https://www.g2.com/compare/databricks-vs-oracle-database)
- [Databricks vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-databricks)
- [Databricks vs SAP HANA Cloud](https://www.g2.com/compare/databricks-vs-sap-hana-cloud-2025-10-01)
- [Databricks vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/databricks-vs-teradata-autonomous-knowledge-platform)
- [Databricks vs Google Cloud BigQuery](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery)
- [Databricks vs SAS Viya](https://www.g2.com/compare/databricks-vs-sas-sas-viya)

  ### 9. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
By Google
**Average Rating:** 4.5/5
**Total Reviews:** 1,224
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 Volt Active Data, Google Cloud BigQuery is:
- More usable
- Better at support
- Better at meeting requirements
Categories in common with Volt Active Data: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)

**Compare:** [Volt Active Data vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-volt-active-data)
**Compare Google Cloud BigQuery with other alternatives:**
- [Google Cloud BigQuery vs Microsoft SQL Server](https://www.g2.com/compare/google-cloud-bigquery-vs-microsoft-sql-server)
- [Google Cloud BigQuery vs MySQL](https://www.g2.com/compare/google-cloud-bigquery-vs-mysql)
- [Google Cloud BigQuery vs PostgreSQL](https://www.g2.com/compare/google-cloud-bigquery-vs-postgresql)
- [Google Cloud BigQuery vs Oracle Database](https://www.g2.com/compare/google-cloud-bigquery-vs-oracle-database)
- [Google Cloud BigQuery vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs SAP HANA Cloud](https://www.g2.com/compare/google-cloud-bigquery-vs-sap-hana-cloud-2025-10-01)
- [Google Cloud BigQuery vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform)
- [Google Cloud BigQuery vs Databricks](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs SAS Viya](https://www.g2.com/compare/google-cloud-bigquery-vs-sas-sas-viya)

  ### 10. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)
By SAS Institute Inc.
**Average Rating:** 4.3/5
**Total Reviews:** 818
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.


Reviewers say compared to Volt Active Data, SAS Viya is:
- More usable
- Better at support
- Better at meeting requirements
Categories in common with Volt Active Data: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing)

**Compare:** [Volt Active Data vs SAS Viya](https://www.g2.com/compare/sas-sas-viya-vs-volt-active-data)
**Compare SAS Viya with other alternatives:**
- [SAS Viya vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-sas-sas-viya)
- [SAS Viya vs MySQL](https://www.g2.com/compare/mysql-vs-sas-sas-viya)
- [SAS Viya vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-sas-sas-viya)
- [SAS Viya vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-sas-sas-viya)
- [SAS Viya vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-sas-sas-viya)
- [SAS Viya vs SAP HANA Cloud](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-sas-sas-viya)
- [SAS Viya vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/sas-sas-viya-vs-teradata-autonomous-knowledge-platform)
- [SAS Viya vs Databricks](https://www.g2.com/compare/databricks-vs-sas-sas-viya)
- [SAS Viya vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-sas-sas-viya)


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## Spotlight Categories
- [Customer Service Automation Software](https://www.g2.com/categories/customer-service-automation)
- [Video Conferencing Software](https://www.g2.com/categories/video-conferencing)
- [Partner Relationship Management (PRM) Software](https://www.g2.com/categories/partner-relationship-management-prm)

