Best Relational Databases for Small Business - Page 2

How Many Relational Databases Products Does G2 Track?

Total Products under this Category: 185

Category Stats (Sep 2026)

  • Average Rating: 4.26/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: ER/Studio (+2.77%) - Among all products in this category, ER/Studio recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Relational Databases Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 12,500+ Authentic Reviews
  • 185+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Relational Databases

G2 Grid® for Relational Databases plotting products by satisfaction and market presence

Highlighted products: Supabase, Microsoft SQL Server, Oracle Database, Google Cloud SQL, MySQL, Amazon Relational Database Service (RDS), Azure SQL Database, and Amazon Aurora.

Underlying data: [Grid® JSON](https://www.g2.com/categories/relational-databases/grids.json?focus%5B%5D=supabase-supabase&focus%5B%5D=microsoft-sql-server&focus%5B%5D=oracle-database&focus%5B%5D=google-cloud-sql&focus%5B%5D=mysql&focus%5B%5D=amazon-relational-database-service-rds&focus%5B%5D=azure-sql-database&focus%5B%5D=amazon-aurora&segment=small-business)

Knack

Knack is an AI-powered no-code platform for building custom, database-driven applications, internal tools, and portals. Businesses use Knack to create systems that manage data, automate workflows, and support day-to-day operations, all in one place. The platform combines a built-in relational database, AI app builder, customizable forms, and workflow automation. Users can define their data model, create user roles, and control access with granular permissions. Applications can be deployed as internal tools or external portals, and embedded into existing websites. Knack supports a wide range of use cases, including customer and vendor portals, custom CRMs, project and task management systems, inventory tracking, logistics and supply chain tools, membership and volunteer management, and government operations. Teams can start from scratch, from a template, or use AI to build fully custom applications tailored to their processes. Knack's healthcare-specific offering, Knack Health, allows organizations to build secure, HIPAA-compliant applications for patient intake, scheduling, care coordination, and operational workflows. The platform supports role-based permissions, record history logs, and secure data handling for protected health information (PHI), with a signed business associate agreement (BAA) available for covered entities. For more advanced use cases, developers can extend applications using a REST API, custom CSS, and JavaScript. Knack also supports integrations with 500+ third-party tools to fit into existing workflows. Knack is designed for flexibility and scale, making it a fit for SMBs, nonprofits, and enterprise teams that need systems tailored to how their business actually operates.

Average Rating: 4.3/5.0

Total Reviews: 111

How Do G2 Users Rate Knack?

  • Ease of Use: 8.7/10 (Category avg: 8.5/10)
  • Workload Management: 8.5/10 (Category avg: 8.3/10)
  • Data Schema: 8.9/10 (Category avg: 8.6/10)
  • Query Language: 7.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Knack?

  • Seller: Knack
  • Year Founded: 2010
  • HQ Location: New York, NY
  • Twitter: @knackhq
    1,923 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Construction, Information Technology and Services
  • Company Size: 57% Small, 31% Medium

What Do G2 Reviewers Say About Knack?

AI-generated summary from verified user reviews

Pros
  • Users value Knack for its user-friendliness, making it accessible even for those with basic coding knowledge.
  • Users love Knack's intuitive interface, making app development quick and easy without the complexities of Excel.
  • Users appreciate the quick responses from customer support, enhancing their overall experience with Knack.
  • Users find Knack's ease of learning impressive, enjoying intuitive design and quick onboarding support to get started.
  • Users value Knack's simplicity, finding it easy to configure and user-friendly for various tasks.
Cons
  • Users find the missing features like duplicate removal and user field limitations very challenging and frustrating.
  • Users find limited customization options in Knack, making it challenging to manage larger apps and enhance layouts.
  • Users find feature limitations in Knack, including issues with duplicate removal, page organization, and performance in advanced applications.
  • Users find the limited features of Knack hinder customization and integration with advanced analytics tools.
  • Users encounter feature issues with Knack, such as limited developer tools and inadequate filtering for page management.

What Are Recent G2 Reviews of Knack?

What Are G2 Users Discussing About Knack?

SAP HEC (HANA Enterprise Cloud)

SAP HANA Enterprise Cloud is the only end-to-end solution of its kind, delivering comprehensive cloud infrastructure and managed services for our in-memory applications, database, and platform.

Average Rating: 4.5/5.0

Total Reviews: 88

How Do G2 Users Rate SAP HEC (HANA Enterprise Cloud)?

  • Ease of Use: 9.1/10 (Category avg: 8.5/10)
  • Workload Management: 9.3/10 (Category avg: 8.3/10)
  • Data Schema: 9.7/10 (Category avg: 8.6/10)
  • Query Language: 9.5/10 (Category avg: 8.6/10)

Who Is the Company Behind SAP HEC (HANA Enterprise Cloud)?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Top Industries: Information Technology and Services, Logistics and Supply Chain
  • Company Size: 42% Large, 30% Medium

What Are Recent G2 Reviews of SAP HEC (HANA Enterprise Cloud)?

What Are G2 Users Discussing About SAP HEC (HANA Enterprise Cloud)?

IBM Informix

• Harness data with broad functionality and unlimited scalability. IBM Informix is a secure embeddable database, optimized for OLTP and Internet of Things (IoT) data. Informix has the unique ability to seamlessly integrate SQL, NoSQL/JSON, time series and spatial data. Everyone from developers to global enterprises can benefit from its reliability, flexibility, ease of use and low total cost of ownership. • Optimize business decisions Perform analytics close to data sources to enhance local decision making. Access business intelligence faster with enhanced integration with various tools and applications. • Eliminate downtime Ensure always-on operations across your grid environment. Upgrade, maintain and configure the grid with no downtime. Successfully meet service-level agreements. • Improve development agility Support both structured and unstructured data with a hybrid database system for enhanced flexibility and easier development. • IBM Informix is available on-premise and on the IBM Cloud. IBM Informix on Cloud offers the complete feature set of on-premises Informix deployments. Run your OLTP queries and workloads on an optimized instance and use the Informix warehouse accelerator to configure in-memory query acceleration for predictive analytics. Get the benefits of Informix without the cost, complexity and risk of managing your own infrastructure. IBM Informix V14.10 enhances all editions, bringing improvements to performance, security, administration, and core database capabilities including support for online transaction processing (OLTP) and replication workloads, timeseries and spatial data. Discover why many of the world’s most innovative companies depend on IBM Informix.

Average Rating: 4.5/5.0

Total Reviews: 92

How Do G2 Users Rate IBM Informix?

  • Ease of Use: 9.1/10 (Category avg: 8.5/10)
  • Workload Management: 8.3/10 (Category avg: 8.3/10)
  • Data Schema: 8.9/10 (Category avg: 8.6/10)
  • Query Language: 9.1/10 (Category avg: 8.6/10)

Who Is the Company Behind IBM Informix?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Large, 32% Medium

What Are Recent G2 Reviews of IBM Informix?

What Are G2 Users Discussing About IBM Informix?

Teradata Autonomous Knowledge Platform

Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. Learn more at Teradata.com.

Average Rating: 4.3/5.0

Total Reviews: 354

How Do G2 Users Rate Teradata Autonomous Knowledge Platform?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Workload Management: 8.9/10 (Category avg: 8.3/10)
  • Data Schema: 8.9/10 (Category avg: 8.6/10)
  • Query Language: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Teradata Autonomous Knowledge Platform?

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 69% Large, 22% Medium

What Do G2 Reviewers Say About Teradata Autonomous Knowledge Platform?

AI-generated summary from verified user reviews

Pros
  • Users highlight the extreme performance of Teradata Autonomous Knowledge Platform, emphasizing its speed in processing large data volumes.
  • Users value the high performance and scalability of Teradata for handling complex queries and data integration.
  • Users value the scalability of Teradata Autonomous Knowledge Platform, seamlessly integrating and managing vast data resources efficiently.
  • Users commend the extreme performance of Teradata, highlighting its speed in processing large datasets seamlessly.
  • Users value the fast processing of large datasets in Teradata, appreciating its stability and integration capabilities.
Cons
  • Users identify a steep learning curve for Teradata Autonomous Knowledge Platform, hindering new user adaptation and productivity.
  • Users find the steep learning curve of Teradata Autonomous Knowledge Platform challenging, especially for those less technically inclined.
  • Users find the complexity of the Teradata platform challenging, especially for non-technical users and new adopters.
  • Users struggle with the cost transparency of Teradata Autonomous Knowledge Platform, needing close management to avoid issues.
  • Users express concerns about the high cost of the Teradata Autonomous Knowledge Platform, highlighting affordability issues.

What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform?

What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform?

TiDB

TiDB is an advanced open-source, distributed SQL database solution designed to help data-intensive businesses manage and scale their data operations seamlessly. Developed by PingCAP, TiDB combines the scalability of NoSQL databases with the full functionality of traditional relational database management systems (RDBMS). This unique architecture allows organizations to build petabyte-scale clusters while efficiently handling millions of tables, numerous concurrent connections, and frequent schema changes without experiencing downtime. The target audience for TiDB includes large enterprises, software-as-a-service (SaaS) providers, and digital-native companies that require robust data management capabilities. These organizations often face challenges related to data scalability, operational complexity, and the need for high availability. TiDB addresses these challenges by offering a solution that supports a wide range of workloads, including transactional, analytical, operational, and artificial intelligence (AI) tasks. Its multi-tenant architecture further enhances operational agility, allowing businesses to adapt to changing demands quickly. Key features of TiDB include seamless scalability, which enables organizations to expand their database infrastructure effortlessly as their data needs grow. The platform's MySQL compatibility ensures that developers can easily integrate TiDB into existing workflows and leverage familiar tools and platforms. Additionally, TiDB supports online DDL (Data Definition Language) operations, allowing for worry-free schema changes that do not disrupt ongoing processes. This operational flexibility is critical for businesses that require constant uptime and reliability. TiDB also prioritizes data security and availability, boasting built-in ACID (Atomicity, Consistency, Isolation, Durability) compliance and a remarkable 99.99% availability rate. The database adheres to various regulatory standards, including GDPR, SOC, HIPAA, and PCI, ensuring that organizations can trust their data management practices. Notable companies such as Databricks, Pinterest, and Plaid have adopted TiDB, allowing them to concentrate on growth and innovation rather than the complexities of data infrastructure management. With its AI-driven innovations and multi-cloud capabilities, TiDB stands out as a powerful solution for businesses looking to enhance their data management strategies. By providing unmatched agility, resilience, and security, TiDB empowers organizations to unlock their full potential in an increasingly data-driven world. For more information, please visit TiDB.io.

Average Rating: 4.6/5.0

Total Reviews: 66

How Do G2 Users Rate TiDB?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Workload Management: 9.0/10 (Category avg: 8.3/10)
  • Data Schema: 9.2/10 (Category avg: 8.6/10)
  • Query Language: 9.3/10 (Category avg: 8.6/10)

Who Is the Company Behind TiDB?

  • Seller: PingCAP
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Sunnyvale
  • Twitter: @PingCAP
    7,268 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    507 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: DBA, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 32% Large, 27% Small

What Do G2 Reviewers Say About TiDB?

AI-generated summary from verified user reviews

Pros
  • Users value TiDB's seamless scalability, effortlessly managing increasing data and users while maintaining strong performance and consistency.
  • Users appreciate the ease of use of TiDB, benefiting from its simple implementation and smooth deployment.
  • Users highlight TiDB's horizontal scalability and strong consistency, making database management straightforward and efficient.
  • Users value the MySQL compatibility of TiDB, facilitating smooth adoption and seamless scaling as data grows.
  • Users value TiDB's high performance in handling vast data and executing analytical queries efficiently in real-time.
Cons
  • Users face a steep learning curve with TiDB's distributed architecture, complicating onboarding and performance tuning for newcomers.
  • Users experience performance issues with TiDB, particularly in vector search and resource requirements for testing and scaling.
  • Users notice slow performance in TiDB, especially in smaller deployments requiring excessive system resources for optimal use.
  • Users find the difficult learning curve of TiDB challenging, especially for teams transitioning from simpler database systems.
  • Users find TiDB's poor documentation challenging, complicating setup and usage for beginners and real-world applications.

What Are Recent G2 Reviews of TiDB?

MariaDB

MariaDB frees companies from the costs, constraints and complexity of proprietary databases, enabling them to reinvest in what matters most – rapidly developing innovative, customer-facing applications. MariaDB uses pluggable, purpose-built storage engines to support workloads that previously required a variety of specialized databases. With complexity and constraints eliminated, enterprises can now depend on a single complete database for all their needs, whether on commodity hardware or their cloud of choice. Deployed in minutes for transactional or analytical use cases, MariaDB delivers unmatched operational agility without sacrificing key enterprise features including real ACID compliance and full SQL. Trusted by organizations such as Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens – MariaDB meets the same core requirements as proprietary databases at a fraction of the cost. No wonder it’s the fastest growing open source database. Real business relies on MariaDB™.

Average Rating: 4.4/5.0

Total Reviews: 219

How Do G2 Users Rate MariaDB?

  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Workload Management: 8.4/10 (Category avg: 8.3/10)
  • Data Schema: 9.2/10 (Category avg: 8.6/10)
  • Query Language: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind MariaDB?

  • Seller: MariaDB
  • Year Founded: 2014
  • HQ Location: Espoo, Finland
  • Twitter: @mariadb
    452,246 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    398 employees on LinkedIn®
  • Ownership: NYSE: MRDB

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 43% Small, 33% Medium

What Do G2 Reviewers Say About MariaDB?

AI-generated summary from verified user reviews

Pros
  • Users find MariaDB to be easy to use, enhancing integration with various platforms and overall performance.
  • Users appreciate the easy integrations of MariaDB, allowing seamless connectivity with different platforms and systems.
  • Users value the easy backup capabilities of MariaDB, enhancing their data management and security processes seamlessly.
  • Users value the superior execution speed of MariaDB, especially when compared to MySQL, enhancing overall efficiency.
  • Users value the cost efficiency of MariaDB, enjoying its free access and high-performance features.
Cons
  • Users find MariaDB's beginner unfriendliness challenging initially due to its CLI interface, but improve with daily use.
  • Users struggle with connectivity issues in MariaDB, often facing integration failures without clear bug identification.
  • New users often face difficult learning curves with MariaDB's CLI, impacting their initial experience despite its eventual usability.
  • Users experience integration failures in MariaDB, often unable to diagnose the underlying issues effectively.
  • Users note feature limitations and initial discomfort with CLI, but find it better with daily use.

What Are Recent G2 Reviews of MariaDB?

What Are G2 Users Discussing About MariaDB?

SingleStore

SingleStore enables organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads — all in one unified platform.

Average Rating: 4.5/5.0

Total Reviews: 114

How Do G2 Users Rate SingleStore?

  • Ease of Use: 8.7/10 (Category avg: 8.5/10)
  • Workload Management: 8.8/10 (Category avg: 8.3/10)
  • Data Schema: 9.3/10 (Category avg: 8.6/10)
  • Query Language: 9.4/10 (Category avg: 8.6/10)

Who Is the Company Behind SingleStore?

  • Seller: SingleStore
  • Year Founded: 2011
  • HQ Location: San Francisco, CA
  • Twitter: @SingleStoreDB
    15,447 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    551 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Developer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 39% Large, 37% Small

What Are Recent G2 Reviews of SingleStore?

What Are G2 Users Discussing About SingleStore?

CockroachDB

Overview Cockroach Labs is the creator of CockroachDB, the cloud-native, resilient, distributed SQL database enterprises worldwide trust to run mission-critical AI and other applications that scale fast, avert and survive disaster, and thrive everywhere. It runs on the Big 3 clouds, on prem, and in hybrid configurations powering Fortune 500, Forbes Global 2000, and Inc. 5000 brands, and game-changing innovators, including OpenAI, CoreWeave, Adobe, NETFLIX, Booking.com, DoorDash, FANDUEL, Cisco Systems, P&G, UiPath, FORTINET, Roblox, EA, BestBuy, SpaceX, NVIDIA, The VA, Squarespace, The Home Depot, and Hewlett Packard Enterprise. Cockroach Labs has customers in 40+ countries across all world regions, 25+ verticals, and 50+ Use Cases. Cockroach Labs operates its own ISV Partner Ecosystem powering Payments, Identity Management (IDM/IAM), Banking & Wallet, Trading, and other high-demand use cases. Cockroach Labs is an AWS Partner of the Year finalist and has achieved AWS Competency Partner certifications in Data & Analytics and Financial Services (FSI). CockroachDB pricing is available at https://www.cockroachlabs.com/pricing/ Vector, RAG, and GenAI Workloads CockroachDB includes native support for the VECTOR data type and pgvector API compatibility, enabling storage and retrieval of high-dimensional embeddings. These vector capabilities are critical for Retrieval-Augmented Generation (RAG) pipelines and GenAI workloads that rely on similarity search and contextual embeddings. By supporting distributed vector indexing within the database itself, CockroachDB removes the need for external vector stores and allows AI applications to operate against a single, consistent data layer. C-SPANN Distributed Indexing At the core of CockroachDB’s vector search capabilities is the C-SPANN indexing engine. C-SPANN provides scalable approximate nearest neighbor (ANN) search across billions of vectors while supporting incremental updates, real-time writes, and partitioned indexing. This ensures low-latency retrieval in the tens of milliseconds, even under high query throughput. The algorithm eliminates central coordinators, avoids large in-memory structures, and leverages CockroachDB’s sharding and replication to deliver scale, resilience, and global consistency. Machine Learning and Apache Spark Integration CockroachDB integrates with modern ML workflows by supporting embeddings generated through frameworks such as AWS Bedrock and Google Vertex AI. Its compatibility with the PostgreSQL JDBC driver allows seamless integration with Apache Spark, enabling distributed processing and advanced analytics on CockroachDB data. PostgreSQL Compatibility and JSON Support CockroachDB speaks the PostgreSQL wire protocol, so applications, drivers, and tools designed to work with Postgres can connect to CockroachDB without modification, enabling seamless use of familiar SQL features and integration with the wider Postgres ecosystem. This includes support for advanced data types such as JSON and JSONB, which allow developers to store and query semi-structured data natively. Geospatial and Graph Capabilities CockroachDB also provides first-class geospatial data support, allowing developers to store, query, and analyze spatial data directly in SQL. For graph workloads, CockroachDB employs JSON flexibility to represent relationships and delivers query capabilities for graph-like traversals. This combination enables hybrid applications that merge relational, geospatial, document, and graph data within a single platform. Analytics, BI, and Integration To support high-performance analytics and BI, CockroachDB supports core analytical use cases and functions including Enterprise Data Warehouse, Lakehouse, and Event Analytics, and offers materialized views for precomputing complex joins and aggregations. Its PostgreSQL wire compatibility ensures direct connectivity with all relevant BI and analytics apps and tools including Amazon Redshift, Snowflake, Kafka, Google BigQuery, Salesforce Tableau, Databricks, Cognos, Looker, Grafana, Power BI, Qlik Sense, SAP, SAS, Sisense, and TIBCO Spotfire. Data scientists can interact with CockroachDB through Jupyter Notebooks, querying structured and semi-structured data and loading results for analysis. Change data capture (CDC) streams provide real-time updates to analytics pipelines and feature stores, keeping downstream systems fresh and reliable. Columnar vectorized execution accelerates query processing, optimizes transactional throughput, and minimizes latency for demanding distributed workloads. MOLT AI-Powered Migration Organizations often know their data infrastructure is not supporting the business, but find it too painful to change. CockroachDB’s MOLT (Migrate Off Legacy Technology) is designed to enable safe, minimal-downtime database migrations from legacy systems to CockroachDB. MOLT Fetch supports data migration from PostgreSQL, MySQL, SQL Server, and Oracle, with SQL Server and DB2 coming soon. CockroachDB also has a portfolio of data replication platform integrations including Precisely, Striim, Qlik, Confluent, IBM, etc. Together, these capabilities ensure that CockroachDB supports both operational and analytical workloads, bridging traditional SQL applications with emerging Gen AI and ML use cases.

Average Rating: 4.3/5.0

Total Reviews: 27

How Do G2 Users Rate CockroachDB?

  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Workload Management: 8.1/10 (Category avg: 8.3/10)
  • Data Schema: 8.1/10 (Category avg: 8.6/10)
  • Query Language: 8.1/10 (Category avg: 8.6/10)

Who Is the Company Behind CockroachDB?

  • Seller: Cockroach Labs
  • Year Founded: 2015
  • HQ Location: New York, NY
  • Twitter: @CockroachDB
    13,571 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    724 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 55% Small, 34% Medium

What Do G2 Reviewers Say About CockroachDB?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of management and reliability of CockroachDB, enabling them to focus on development without disruptions.
  • Users value the ease of use of CockroachDB, enjoying its straightforward SQL implementation and seamless scalability.
  • Users highlight CockroachDB's seamless performance and automatic scalability, ensuring reliable data management without operational headaches.
  • Users appreciate the scalability of CockroachDB, enabling seamless management of distributed databases across multiple locations.
  • Users value the automatic scaling and reliability of CockroachDB, making big data management effortless and efficient.
Cons
  • Users find the learning curve steep for CockroachDB, especially regarding configuration and understanding its unique operational aspects.
  • Users find CockroachDB's setup and configuration to have a steep complexity for beginners, impacting overall user experience.
  • Users find the difficult learning curve of CockroachDB challenging, especially for beginners trying to optimize configuration.
  • Users face feature limitations in CockroachDB due to a steep learning curve and less mature advanced functionalities.
  • Users note the complexity and steep learning curve of CockroachDB, which may hinder optimal configuration and understanding.

What Are Recent G2 Reviews of CockroachDB?

What Are G2 Users Discussing About CockroachDB?

Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. Cloudera Anywhere Cloud™: Build and scale applications across any environment. The modular hybrid data and AI platform engineered for the agentic era empowers teams to deploy production-grade data and AI workloads across multi-cloud, on-premises, and sovereign environments while maintaining digital sovereignty. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

Average Rating: 4.2/5.0

Total Reviews: 190

How Do G2 Users Rate Cloudera?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Workload Management: 8.7/10 (Category avg: 8.3/10)
  • Data Schema: 8.8/10 (Category avg: 8.6/10)
  • Query Language: 9.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Cloudera?

  • Seller: Cloudera
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Santa Clara, CA
  • Twitter: @cloudera
    106,442 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,505 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Banking
  • Company Size: 39% Large, 35% Small

What Do G2 Reviewers Say About Cloudera?

AI-generated summary from verified user reviews

Pros
  • Users praise the user-friendly interface of Cloudera, highlighting its simplicity in managing big data efficiently.
  • Users value the easy scalability of Cloudera, enabling efficient management of large amounts of data effortlessly.
  • Users value the robust security features of Cloudera, ensuring safe and reliable data management across platforms.
  • Users value the comprehensive suite of tools in Cloudera for effective data management and analytics.
  • Users find Cloudera's scalability and centralized administration invaluable for efficient monitoring and management of data processes.
Cons
  • Users express concerns over the high costs of Cloudera, noting it's expensive for its complexity and maintenance.
  • Users find Cloudera's database to be complex, making it challenging for inexperienced professionals to utilize effectively.
  • Users find Cloudera's setup difficult to learn, particularly challenging for beginners without adequate tutorials or guidance.
  • Users find the poor documentation of Cloudera frustrating, complicating navigation and setup for complex data configurations.
  • Users often face access issues with Cloudera, particularly with unauthorized errors in Airflow tasks and limited documentation.

What Are Recent G2 Reviews of Cloudera?

What Are G2 Users Discussing About Cloudera?

Spark SQL

Spark SQL lets you query structured data inside Spark programs, using either SQL or a familiar DataFrame API. Usable in Java, Scala, Python and R.

Average Rating: 4.6/5.0

Total Reviews: 46

How Do G2 Users Rate Spark SQL?

  • Ease of Use: 9.0/10 (Category avg: 8.5/10)
  • Workload Management: 8.6/10 (Category avg: 8.3/10)
  • Data Schema: 8.7/10 (Category avg: 8.6/10)
  • Query Language: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Spark SQL?

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 54% Large, 26% Small

What Are Recent G2 Reviews of Spark SQL?

What Are G2 Users Discussing About Spark SQL?

Stackby

Stackby is a no-code work management platform that brings the best of spreadsheets and databases to enable anyone to create their own collaborative workflows for their teams. No-coding or training needed. Stackby merges spreadsheet functionalities with the capabilities of a relational database, offering search, filtering, grouping and sorting options, as well as the ability to generate custom forms and views. It is designed for teams of any size from one to over 1000, making it scalable for fast growing startups. It also has 500+ templates across Marketing, Sales, HR, Project Management, Startups and more. Over 50,000 companies globally use Stackby to manage their data and automate their processes, in amazing ways.

Average Rating: 4.6/5.0

Total Reviews: 82

How Do G2 Users Rate Stackby?

  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Workload Management: 10.0/10 (Category avg: 8.3/10)
  • Data Schema: 10.0/10 (Category avg: 8.6/10)
  • Query Language: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Stackby?

  • Seller: Relytree Inc.
  • Year Founded: 2018
  • HQ Location: San Francisco (and vicinity), California
  • Twitter: @StackbyHQ
    1,050 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    20 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO
  • Top Industries: Marketing and Advertising, Management Consulting
  • Company Size: 90% Small, 6% Medium

What Do G2 Reviewers Say About Stackby?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Stackby, enabling smooth workflow customization without technical expertise.
  • Users value the custom templates and column types in Stackby, enhancing flexibility and efficiency for various projects.
  • Users love the automation feature in Stackby, enhancing workflow efficiency and supporting non-technical users effectively.
  • Users value the high level of customization in Stackby, enabling tailored workflows and efficient operations without technical skills.
  • Users love the flexibility of Stackby, combining spreadsheets and databases for customized, powerful workflow solutions.
Cons
  • Users find Stackby has limited advanced features compared to Airtable or Notion, affecting workflow efficiency.
  • Users find missing advanced features in Stackby compared to Airtable or Notion, limiting their workflow capabilities.
  • Users find feature limitations in Stackby, especially compared to competitors like Airtable, impacting their workflows and experience.
  • Users notice integration issues, as Stackby lacks automation and deeper connections with popular tools compared to competitors.
  • Users find the limited advanced features in Stackby compared to Airtable or Notion somewhat restricting for power users.

What Are Recent G2 Reviews of Stackby?

What Are G2 Users Discussing About Stackby?

SAP Adaptive Server Enterprise (ASE)

With SAP® Adaptive Server® Enterprise (SAP ASE), you can handle massive volumes of data and thousands of concurrent users to accelerate the growth of new data-driven business applications. Drive value with a faster, more efficient transactional system that is designed to meet the demands of the digital economy.

Average Rating: 4.1/5.0

Total Reviews: 36

How Do G2 Users Rate SAP Adaptive Server Enterprise (ASE)?

  • Ease of Use: 7.7/10 (Category avg: 8.5/10)
  • Workload Management: 8.7/10 (Category avg: 8.3/10)
  • Data Schema: 8.2/10 (Category avg: 8.6/10)
  • Query Language: 8.6/10 (Category avg: 8.6/10)

Who Is the Company Behind SAP Adaptive Server Enterprise (ASE)?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 41% Large, 32% Medium

What Are Recent G2 Reviews of SAP Adaptive Server Enterprise (ASE)?

What Are G2 Users Discussing About SAP Adaptive Server Enterprise (ASE)?

SAP SQL Anywhere

SAP® SQL Anywhere® solutions deliver enterprise-level data management and synchronization capabilities. The solutions are designed to run in remote and mobile environments on a wide range of small-footprint devices and in real-world conditions.

Average Rating: 4.1/5.0

Total Reviews: 80

How Do G2 Users Rate SAP SQL Anywhere?

  • Ease of Use: 8.2/10 (Category avg: 8.5/10)
  • Workload Management: 8.0/10 (Category avg: 8.3/10)
  • Data Schema: 7.8/10 (Category avg: 8.6/10)
  • Query Language: 8.6/10 (Category avg: 8.6/10)

Who Is the Company Behind SAP SQL Anywhere?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Who Uses This: Data Scientist
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 42% Large, 36% Medium

What Are Recent G2 Reviews of SAP SQL Anywhere?

What Are G2 Users Discussing About SAP SQL Anywhere?

Firebird

Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms.

Average Rating: 4.1/5.0

Total Reviews: 22

How Do G2 Users Rate Firebird?

  • Ease of Use: 9.1/10 (Category avg: 8.5/10)
  • Workload Management: 7.7/10 (Category avg: 8.3/10)
  • Data Schema: 8.8/10 (Category avg: 8.6/10)
  • Query Language: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Firebird?

Who Uses This Product?

  • Company Size: 71% Small, 29% Medium

What Are Recent G2 Reviews of Firebird?

What Are G2 Users Discussing About Firebird?

Aiven for PostgreSQL

Aiven for PostgreSQL is a fully managed, scalable PostgreSQL service. It is full-featured, and backed by a 99.99% SLA. You can launch a fully operational PostgreSQL cluster in the cloud and region of your choice in minutes - using the Aiven web console or programmatically via Aiven’s API, CLI, Terraform provider or Kubernetes operator. You'll have access to premium features, such as Point in Time Restore, database forking, connection pooling, and more. And you can use over 70 PostgreSQL extensions. With Aiven for PostgreSQL, you don’t need to worry about taking backups or applying maintenance updates. All this is done automatically - with no downtime. You can upgrade to a new version, increase the storage of your cluster, expand to new regions or migrate to a different cloud, with a click of a mouse. Data is encrypted at rest and in transit, and clusters are always run on dedicated virtual machines. The service is ISO27001, SOC 2, HIPAA, GDPR, CCPA and PCI/DSS compliant.

Average Rating: 4.3/5.0

Total Reviews: 78

How Do G2 Users Rate Aiven for PostgreSQL?

  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Workload Management: 9.2/10 (Category avg: 8.3/10)
  • Data Schema: 8.3/10 (Category avg: 8.6/10)
  • Query Language: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Aiven for PostgreSQL?

  • Seller: Aiven
  • Year Founded: 2016
  • HQ Location: Helsinki, Southern Finland
  • Twitter: @aiven_io
    4,104 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    476 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CTO
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 67% Small, 27% Medium

What Do G2 Reviewers Say About Aiven for PostgreSQL?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Aiven for PostgreSQL, facilitating quick setups and seamless migrations.
  • Users highlight the exceptional customer support from Aiven, ensuring smooth database migration and quick issue resolution.
  • Users find Aiven for PostgreSQL to have an effortless setup process, making it ideal for quick deployments.
  • Users value the seamless application development with Aiven for PostgreSQL, focusing on creativity rather than database management.
  • Users find the deployment ease of Aiven for PostgreSQL remarkable, allowing quick migrations and seamless scaling.
Cons
  • Users find Aiven for PostgreSQL to be expensive, raising concerns about its pricing compared to competitors.
  • Users feel that the pricing can be high for Aiven for PostgreSQL, adding costs to their management efforts.
  • Users face poor customer support, often feeling pressure to upgrade and lacking effective ticketing systems.
  • Users believe there is still room for improvement in service limitations regarding customization and high availability options.
  • Users find the licensing costs to be expensive, especially for the management layer of Aiven for PostgreSQL.

What Are Recent G2 Reviews of Aiven for PostgreSQL?

What Are G2 Users Discussing About Aiven for PostgreSQL?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated