Top Free Document Databases

How Many Document Databases Products Does G2 Track?

Total Products under this Category: 64

Category Stats (Oct 2026)

  • Average Rating: 4.23/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Redis Software (+0.07%) - Among all products in this category, Redis Software recorded the largest rating increase compared to last month

Last updated: October 26, 2026

How Does G2 Rank Document Databases Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 3,300+ Authentic Reviews
  • 64+ 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 Document Databases

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

Highlighted products: MongoDB Atlas, Elasticsearch, Amazon DynamoDB, Amazon DocumentDB, Google Cloud Firestore, InterSystems IRIS, AceBase realtime database, and Redis Software.

Underlying data: [Grid® JSON](https://www.g2.com/categories/document-databases/grids.json?focus%5B%5D=mongodb-atlas&focus%5B%5D=elastic-elasticsearch&focus%5B%5D=amazon-web-services-aws-amazon-dynamodb&focus%5B%5D=amazon-documentdb&focus%5B%5D=google-cloud-firestore&focus%5B%5D=intersystems-iris&focus%5B%5D=acebase-realtime-database&focus%5B%5D=redis-software)

Elasticsearch

Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered search applications with an extensible platform that also provides out of the box capabilities Save development cycles and get upgraded search to market faster. Elasticsearch is the world’s most popular search engine, backed by a robust developer community. Elastic’s platform lets you ingest any data source, build modern search experiences that integrate with large language models and generative AI, and visualize analytics for data-driven decision-making and insights. Our consistent investments in machine learning help developers stay ahead of the curve with the fast, highly relevant search, at scale. -- Flexible platform and toolkit to deliver powerful search functionality regardless of development resources and technology objectives. Our open platform delivers consistent functionality for cloud, hybrid, or on-prem deployments with exceptional performance, reliability, and scalability. -- Built-in search analytics and visualization tools give teams access to search data and real-time dashboards for optimizing search results and operations. Non-tech teams can tune search experiences too–no development team needed. -- Next level search relevance using textual search, vector search, hybrid, and semantic search and machine learning model flexibility. Powerful capabilities like a vector database provide the foundation for creating, storing, and searching embeddings to capture the context of your unstructured data. Use machine-learning enabled inference at data ingestion, and bring your own model - open or proprietary - to deliver the best, industry-specific results.

Average Rating: 4.5/5.0

Total Reviews: 306

How Do G2 Users Rate Elasticsearch?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.5/10)
  • Query Optimization: 8.9/10 (Category avg: 8.1/10)
  • Data Model: 9.5/10 (Category avg: 8.5/10)
  • Operating Systems: 9.0/10 (Category avg: 8.4/10)

Who Is the Company Behind Elasticsearch?

  • Seller: Elastic
  • Company Website:
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • Twitter: @elastic
    65,200 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,457 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 37% Medium, 33% Large

What Do G2 Reviewers Say About Elasticsearch?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Elasticsearch, making integration and application monitoring seamless and efficient.
  • Users commend the impressive speed of Elasticsearch, allowing efficient handling of large datasets and quick queries.
  • Users love the fast search capabilities of Elasticsearch, allowing for efficient troubleshooting and real-time analytics.
  • Users appreciate the blazing fast performance of Elasticsearch, enhancing their search experiences significantly.
  • Users value Elasticsearch for its powerful search and aggregation capabilities, enhancing performance and workflow efficiency immensely.
Cons
  • Users find Elasticsearch expensive to scale, especially with high data volumes and necessary commercial licenses.
  • Users find Elasticsearch's required expertise challenging, citing complexity and resource-intensive setup as significant hurdles.
  • Users find the learning difficulty of Elasticsearch overwhelming, especially for beginners navigating its complexity and configuration.
  • Users find Elasticsearch's interface to be not user-friendly, complicating search functionality and requiring extensive tuning for performance.
  • Users find difficult learning with Elasticsearch due to its complex configuration and confusing documentation, especially for beginners.

What Are Recent G2 Reviews of Elasticsearch?

InterSystems IRIS

InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is the next generation of our proven data management software.It includes the capabilities of InterSystems Cache and Ensemble, plus a wealth of exciting new capabilities to make it easy to build and deploy cloud based, analytics-intensive enterprise applications with even greater performance and scalability. InterSystems IRIS provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS includes an Interoperability engine and modules to build AI solutions. InterSystems IRIS provides features for horizontal scalability (sharding, ECP) and provides High Availability features, Business intelligence, transaction support, and backup.

Average Rating: 4.6/5.0

Total Reviews: 63

How Do G2 Users Rate InterSystems IRIS?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.5/10)
  • Query Optimization: 9.7/10 (Category avg: 8.1/10)
  • Data Model: 9.4/10 (Category avg: 8.5/10)
  • Operating Systems: 8.9/10 (Category avg: 8.4/10)

Who Is the Company Behind InterSystems IRIS?

  • Seller: InterSystems
  • Year Founded: 1978
  • HQ Location: Cambridge, MA
  • Twitter: @InterSystems
    61,310 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,151 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Hospital & Health Care
  • Company Size: 46% Small, 34% Medium

What Do G2 Reviewers Say About InterSystems IRIS?

AI-generated summary from verified user reviews

Pros
  • Users value the powerful features and flexibility of InterSystems IRIS, enhancing overall performance and user experience.
  • Users find InterSystems IRIS to be very easy to use, with a clean interface and helpful documentation.
  • Users commend the excellent performance and resource efficiency of InterSystems IRIS, enhancing reliability and speed in data handling.
  • Users praise the excellent customer support from InterSystems IRIS, appreciating timely responses and helpful assistance.
  • Users value the easy integrations of InterSystems IRIS, enabling seamless connectivity with various systems and flexibility.
Cons
  • Users find the difficult learning curve of InterSystems IRIS challenging, particularly for those new to the platform.
  • Users note that IRIS is not cheap, with licensing costs and hardware requirements posing challenges for smaller projects.
  • Users find the insufficient documentation for advanced scenarios complicates learning and effective use of InterSystems IRIS.
  • Users find the learning curve steep, particularly with advanced features and complex configurations, which can hinder initial experiences.
  • Users find the poor documentation for advanced scenarios challenging, making it hard to navigate complex features.

What Are Recent G2 Reviews of InterSystems IRIS?

What Are G2 Users Discussing About InterSystems IRIS?

Couchbase

Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services.

Average Rating: 4.3/5.0

Total Reviews: 142

How Do G2 Users Rate Couchbase?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.5/10)
  • Query Optimization: 8.8/10 (Category avg: 8.1/10)
  • Data Model: 8.8/10 (Category avg: 8.5/10)
  • Operating Systems: 8.6/10 (Category avg: 8.4/10)

Who Is the Company Behind Couchbase?

  • Seller: Couchbase
  • Company Website:
  • Year Founded: 2009
  • HQ Location: San Jose, CA
  • Twitter: @couchbase
    136,110 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    844 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Senior Software Engineer, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 39% Small, 34% Large

What Do G2 Reviewers Say About Couchbase?

AI-generated summary from verified user reviews

Pros
  • Users value the flexibility of Couchbase, enabling diverse data storage and seamless integration for various applications.
  • Users value the MongoDB compatibility of Couchbase, appreciating its ease of use and smooth integration.
  • Users find Couchbase easy to use, appreciating its simple implementation and fast real-time data access.
  • Users appreciate the scalability of Couchbase, enabling efficient handling of growing data and workloads seamlessly.
  • Users value the high-performance analytics insights of Couchbase, enabling efficient data management and complex queries easily.
Cons
  • Users feel the UI is complicated, highlighting a need for improvements to enhance the overall user experience.
  • Users find the complexity of setup and management in Couchbase to be a significant challenge and hurdle.
  • Users find the difficult learning curve of Couchbase challenging, which can complicate setup and usage for novices.
  • Users note a lack of features in the community edition, finding it challenging for newcomers and complex to configure.
  • Users find the complex configuration of Couchbase challenging, especially without dedicated database administrators or expertise.

What Are Recent G2 Reviews of Couchbase?

What Are G2 Users Discussing About Couchbase?

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Arango

Arango provides a trusted data foundation for Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. The Arango AI Suite includes automated data pipelines, multimodal data ingestion, AIOps and MLOps, LLM integrations, Graph Analytics, agentic frameworks for context-aware Hybrid/GraphRAG, GraphML, natural-language support, and GPU acceleration — enabling repeatable ROI and faster innovation. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, Synopsys and Articul8, Arango powers enterprise AI with context, confidence, and scale. We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, YouTube, and G2.

Average Rating: 4.6/5.0

Total Reviews: 115

How Do G2 Users Rate Arango?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.5/10)
  • Query Optimization: 8.4/10 (Category avg: 8.1/10)
  • Data Model: 9.2/10 (Category avg: 8.5/10)
  • Operating Systems: 8.4/10 (Category avg: 8.4/10)

Who Is the Company Behind Arango?

  • Seller: Arango
  • Year Founded: 2015
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    128 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Small, 23% Medium

What Do G2 Reviewers Say About Arango?

AI-generated summary from verified user reviews

Pros
  • Users find Arango remarkably easy to use, appreciating its intuitive interface and quick learning curve for AQL.
  • Users value Arango's seamless data handling, combining graph, document, and key-value seamlessly with excellent documentation.
  • Users appreciate the straightforward query language of Arango, making complex queries accessible and easy to learn.
  • Users praise ArangoDB for its intuitive query language, making it easy for new developers to learn and use effectively.
  • Users value the customization potential of Arango DB, appreciating its flexible query language and versatile design.
Cons
  • Users find the poor usability of ArangoDB challenging, citing complexity in operations and setup as major issues.
  • Users find the difficult learning process challenging, particularly with complex queries and limited community support.
  • Users find the improvement needed for the graphical interface and setup process, wishing for a more intuitive experience.
  • Users find the learning curve steep, especially for complex queries and building new databases with limited support.
  • Users find the steep learning curve challenging, particularly for building complex queries and databases.

What Are Recent G2 Reviews of Arango?

What Are G2 Users Discussing About Arango?

Percona Server for MongoDB

Percona Server for MongoDB is a free and open-source drop-in replacement for MongoDB Community Edition. It combines all the features and benefits of MongoDB Community Edition with enterprise-class features from Percona. Built on the MongoDB Community Edition, Percona Server for MongoDB provides flexible data structure, native high availability, easy scalability, and developer-friendly syntax. It also includes an in-memory engine, hot backups, LDAP authentication, database auditing, and log redaction.

Average Rating: 4.6/5.0

Total Reviews: 36

How Do G2 Users Rate Percona Server for MongoDB?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.5/10)
  • Query Optimization: 8.6/10 (Category avg: 8.1/10)
  • Data Model: 8.2/10 (Category avg: 8.5/10)
  • Operating Systems: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Percona Server for MongoDB?

  • Seller: Percona
  • Year Founded: 2006
  • HQ Location: Durham, North Carolina
  • Twitter: @Percona
    16,424 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    353 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Education Management
  • Company Size: 54% Small, 29% Medium

What Are Recent G2 Reviews of Percona Server for MongoDB?

What Are G2 Users Discussing About Percona Server for MongoDB?

Progress MarkLogic

Progress MarkLogic is an enterprise-grade multi-model data management platform that unlocks value from complex data. It works with the full breadth of a company's information and makes it easily discoverable and ready to power high-value applications, decision intelligence and trustworthy AI. Organizations leverage integrated capabilities to integrate, harmonize, search and visualize multi-model data to build a connected data ecosystem as the secure and scalable foundation for the AI era.

Average Rating: 4.3/5.0

Total Reviews: 64

How Do G2 Users Rate Progress MarkLogic?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.5/10)
  • Query Optimization: 8.1/10 (Category avg: 8.1/10)
  • Data Model: 8.3/10 (Category avg: 8.5/10)
  • Operating Systems: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Progress MarkLogic?

  • Seller: Progress Software
  • Company Website:
  • Year Founded: 1981
  • HQ Location: Burlington, MA.
  • Twitter: @ProgressSW
    48,773 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,242 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 54% Large, 25% Small

What Are Recent G2 Reviews of Progress MarkLogic?

What Are G2 Users Discussing About Progress MarkLogic?

CrateDB

The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and containerized database that runs queries in milliseconds, regardless of data complexity, volume and velocity.

Average Rating: 4.4/5.0

Total Reviews: 82

How Do G2 Users Rate CrateDB?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 8.5/10)
  • Query Optimization: 8.3/10 (Category avg: 8.1/10)
  • Data Model: 9.8/10 (Category avg: 8.5/10)
  • Operating Systems: 9.4/10 (Category avg: 8.4/10)

Who Is the Company Behind CrateDB?

  • Seller: CrateDB
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Redwood City, CA
  • Twitter: @cratedb
    4,176 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 54% Small, 31% Medium

What Do G2 Reviewers Say About CrateDB?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of setup and SQL querying in CrateDB, enhancing their productivity and efficiency.
  • Users appreciate the fast and native SQL interface of CrateDB, enabling instant queries on structured and semi-structured data.
  • Users appreciate the easy integrations of CrateDB, streamlining the process for accessing varied data types efficiently.
  • Users value the flexibility of CrateDB, enabling diverse deployment setups and adaptable solutions for various needs.
  • Users value the versatile data support in CrateDB, enjoying features like multi-model data and advanced search capabilities.
Cons
  • Users note a lack of features in CrateDB, particularly missing comparative insights and advanced analytical SQL functionalities.
  • Users find software limitations in CrateDB, such as a lack of connectors and advanced SQL functions, concerning.
  • Users express concerns over limited features in CrateDB, affecting its suitability for diverse operational needs and analytics.
  • Users find the documentation lacking, especially regarding custom configurations and integrations in CrateDB.
  • Users find complex configuration challenging due to limited documentation and lack of control over sharding in CrateDB.

What Are Recent G2 Reviews of CrateDB?

Fauna

Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of relational systems—all built on a serverless, distributed architecture that scales automatically, without the complexity of manual provisioning, sharding, or replication. Over 80,000 development teams choose Fauna to build and scale modern transactional applications including teams from Tyson Foods, Unilever, Lexmark, Intelliculture, Hannon Hill, Cloaked, DTLR, and Insights.gg.

Average Rating: 4.4/5.0

Total Reviews: 25

How Do G2 Users Rate Fauna?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.5/10)
  • Query Optimization: 9.3/10 (Category avg: 8.1/10)
  • Data Model: 9.4/10 (Category avg: 8.5/10)
  • Operating Systems: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Fauna?

  • Seller: Fauna
  • Year Founded: 2015
  • HQ Location: San Francisco, CA
  • Twitter: @fauna
    93,015 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 64% Small, 24% Medium

What Do G2 Reviewers Say About Fauna?

AI-generated summary from verified user reviews

Pros
  • Users highlight Fauna's high scalability, enabling effortless handling of growing applications in a serverless environment.
  • Users find Fauna's interface to be incredibly easy to use, simplifying database management and accelerating development.
  • Users value the flexibility of Fauna, enabling easy prototyping and efficient handling of diverse data requirements.
  • Users value the high reliability of Fauna, appreciating its scalability and low latency in serverless environments.
  • Users praise the exceptional customer support from Fauna, highlighting their responsiveness and helpfulness during setup and troubleshooting.
Cons
  • Users find the difficult learning curve and debugging challenges of Fauna to be significant obstacles to usability.
  • Users struggle with poor documentation for on-premise setups, making it difficult to find necessary deployment patterns.
  • Users find the type system difficult to debug, and the absence of full text search limits usability.
  • Users find the complex setup of Fauna challenging, especially for on-premise architecture integration.
  • Users are concerned about cost issues with Fauna, as pricing can escalate with usage beyond the free tier.

What Are Recent G2 Reviews of Fauna?

What Are G2 Users Discussing About Fauna?

Tembo

Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted deployment options, Tembo enables everyone – from the smallest startups to the Fortune 500 – to go “all in” on Postgres, achieving unprecedented stability and efficiency across a variety of applications and use cases. With Tembo, customers get all the stability, reliability, and extensibility of Postgres open source with enhanced observability, compliance, and developer experience.

Average Rating: 4.7/5.0

Total Reviews: 26

How Do G2 Users Rate Tembo?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.5/10)
  • Query Optimization: 9.2/10 (Category avg: 8.1/10)
  • Data Model: 9.0/10 (Category avg: 8.5/10)
  • Operating Systems: 9.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Tembo?

  • Seller: Tembo
  • Year Founded: 2022
  • HQ Location: Cincinnati, US
  • Twitter: @tembo_io
    3 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 85% Small, 15% Medium

What Do G2 Reviewers Say About Tembo?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Tembo, finding it simple to set up and manage tasks effectively.
  • Users love the user-friendly dashboard of Tembo, which simplifies task management and enhances team collaboration.
  • Users value the easy integrations with various data sources, streamlining their workflow and enhancing data management.
  • Users appreciate the ease of setup with Tembo, enabling quick deployment and user-friendly navigation.
  • Users value the easy integrations of Tembo, enhancing efficiency and simplifying complex data management tasks effortlessly.
Cons
  • Users find the limited flexibility of Tembo frustrating, as it restricts integration and customization options.
  • Users find the limited integration to only AWS a significant drawback, wishing for broader cloud service support.
  • Users highlight the restrictive cloud limitations of Tembo, particularly its exclusive support for AWS.
  • Users find Tembo to be expensive, especially for small businesses due to variable pricing and additional service costs.
  • Users find the limited customization of Tembo restrictive, impacting flexibility and functionality for their specific needs.

What Are Recent G2 Reviews of Tembo?

Aerospike

Aerospike is the real-time state, context, and decisioning platform for operational AI, helping enterprises ground intelligence in the current reality of their business and turn it into action at scale. More than 2 billion people worldwide interact with applications built on Aerospike. Organizations across AI, financial services, telecom, and adtech, including AMD, Mistral AI, and PayPal, rely on Aerospike to ground their most demanding real-time systems in current enterprise reality. To learn more, visit aerospike.com.

Average Rating: 4.4/5.0

Total Reviews: 80

How Do G2 Users Rate Aerospike?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Aerospike?

  • Seller: Aerospike
  • Year Founded: 2009
  • HQ Location: Mountain View, CA
  • Twitter: @aerospikedb
    7,825 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    308 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 45% Medium, 34% Large

What Are Recent G2 Reviews of Aerospike?

What Are G2 Users Discussing About Aerospike?

GigaSpaces

GigaSpaces helps enterprises apply AI to real-time, structured operational data, enabling spontaneous, natural language conversations that accelerate decision-making, improve agility in unexpected situations, and surface opportunities and risks in everyday business. With over two decades of experience powering mission-critical systems, GigaSpaces is a pioneer in real-time data technology and a trusted foundation for data-driven services across industries, including finance, travel, telecom, and insurance. Headquartered in the US, with offices in Europe and Israel, GigaSpaces helps organizations turn operational data into decisions that are timely, secure, and scalable. The GigaSpaces Portfolio delivers the fastest, scalable and easiest to deploy, suite of software platforms to meet the most challenging enterprise data requirements. Numerous Tier-1 and Fortune-listed organizations and OEMs across financial services, retail, transportation, telecom, healthcare, and more trust GigaSpaces to power their mission critical services to optimize business operations, adhere to regulatory compliance and enhance customer experience. Our offices are located in the US, Europe and Israel with partners around the globe; serving customers such as Morgan Stanley, Bank of America, CSX, Société Générale, Crédit Agricole, Avanza Bank, Avaya, CLSA, and Groupe PSA.

Average Rating: 4.6/5.0

Total Reviews: 11

How Do G2 Users Rate GigaSpaces?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.5/10)
  • Query Optimization: 8.3/10 (Category avg: 8.1/10)
  • Data Model: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind GigaSpaces?

  • Seller: Gigaspaces
  • Year Founded: 2000
  • HQ Location: New York City, NY, USA
  • Twitter: @GigaSpaces
    2,772 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    108 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 36% Medium

What Are Recent G2 Reviews of GigaSpaces?

What Are G2 Users Discussing About GigaSpaces?

Harper

HarperDB eliminates the complexity typically synonymous with distributed services by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology. When clustered and geo-distributed, HarperDB nodes instantly synchronize data to deliver a horizontally scalable service fabric, ensuring low-latency in-region responses for clients worldwide. In addition to massive cost savings at scale, HarperDB’s REST, GraphQL, and real-time interfaces make light work of servicing frontend requirements. Install and manage on your hardware, or have us host your services with HarperDB Cloud. For questions, reach us at hello@harperdb.io.

Average Rating: 4.8/5.0

Total Reviews: 4

How Do G2 Users Rate Harper?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Harper?

  • Seller: HarperDB
  • Year Founded: 2017
  • HQ Location: Denver, US
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of Harper?

Hazelcast Platform

Hazelcast Platform is the Live Data Platform that delivers data at the speed of relevance, providing the in‑memory foundation for applications that act on data the instant it's created—ensuring businesses never miss a moment of opportunity. By converging distributed caching, compute, stream processing, and real‑time AI into one low‑latency runtime, Hazelcast delivers sub‑millisecond performance, linear scalability, and enterprise resilience. Global 2000 firms trust Hazelcast to simplify architectures, reduce costs, and power mission‑critical, time‑sensitive applications.

Average Rating: 4.3/5.0

Total Reviews: 12

How Do G2 Users Rate Hazelcast Platform?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.5/10)
  • Query Optimization: 9.2/10 (Category avg: 8.1/10)
  • Data Model: 9.2/10 (Category avg: 8.5/10)
  • Operating Systems: 7.5/10 (Category avg: 8.4/10)

Who Is the Company Behind Hazelcast Platform?

  • Seller: Hazelcast
  • Year Founded: 2010
  • HQ Location: Palo Alto, US
  • Twitter: @hazelcast
    9,354 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 54% Small, 23% Large

What Do G2 Reviewers Say About Hazelcast Platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Hazelcast Platform, noting its speed and minimal memory requirements.
  • Users appreciate the fast processing of Hazelcast Platform, noting its efficiency in resolving distributed systems challenges.
  • Users appreciate the flexibility of Hazelcast Platform, finding it fast and efficient for distributed systems challenges.
  • Users appreciate the fast performance of Hazelcast Platform, effectively solving issues in distributed systems with minimal memory usage.
  • Users appreciate the fast performance and low memory usage of Hazelcast Platform, which simplifies distributed system management.
Cons
  • Users find the learning curve to be steep, requiring extra time to navigate and understand the platform effectively.
  • Users note the navigation difficulty in Hazelcast Platform, requiring extra time to find features effectively.
  • Users find Hazelcast Platform not user-friendly, requiring extra time to navigate and locate features efficiently.
  • Users find the poor UI of Hazelcast Platform makes navigation and coordination frustrating and time-consuming.
  • Users find the time-consuming nature of locating and coordinating resources in Hazelcast to be a drawback.

What Are Recent G2 Reviews of Hazelcast Platform?

What Are G2 Users Discussing About Hazelcast Platform?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated October 3, 2024