# Best Real-time Analytic Database Software

*By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)*


Real-time analytic or streaming databases are designed to process and analyze high volumes of data in near real time.

Traditional [relational databases](https://www.g2.com/categories/relational-databases) process and store historical data in batch modes and can thus provide insights into past trends. Real-time analytic databases go one step further by processing the data in real time and generating updates immediately for any queries registered, helping companies make data-driven decisions. These tools help data science teams combine past and present data for predictive analytics.

Real-time analytic databases process data as it arrives and helps organizations to make informed decisions and take immediate actions with the most recent information.

To qualify for inclusion in the Real-Time Analytic Database category, a product must:

- Offer real-time data processing
- Have event-driven architecture
- Provide lower query latency and execute queries continuously as they are registered






## How Many Real-time Analytic Database Software Products Does G2 Track?
**Total Products under this Category:** 28

### Category Stats (Jul 2026)
- **Average Rating**: 4.55/5 The average rating of products in this category, based on all submitted ratings

*Last updated: July 03, 2026*


## How Does G2 Rank Real-time Analytic Database Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 600+ Authentic Reviews
- 28+ 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.


## Which Real-time Analytic Database Software Is Best for Your Use Case?

- **Highest Performer:** [CrateDB](https://www.g2.com/products/cratedb/reviews)
- **Easiest to Use:** [CrateDB](https://www.g2.com/products/cratedb/reviews)
- **Top Trending:** [KX](https://www.g2.com/products/kx-kx/reviews)
- **Best Free Software:** [SingleStore](https://www.g2.com/products/singlestore/reviews)


---

**Sponsored**

### QuestDB

QuestDB is an open-source, SQL-first time-series database built for the most demanding workloads—from trading floors to mission control. A multi-tier design keeps hot data in native partitions and cold history in Parquet/object storage, queried via one SQL layer. Vectorized, columnar execution delivers high-throughput ingest and millisecond queries. Open formats (Parquet/Arrow) make it AI-ready and lock-in free. Deploy self-hosted or in your cloud (BYOC).



[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1006054&secure%5Bchosen_at%5D=2026-07-04T05%3A55%3A25Z&secure%5Bdisplayable_resource_id%5D=1761&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=1761&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=131714&secure%5Bresource_id%5D=1006054&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Freal-time-analytic-database%3Fopen_modal_url%3D%252Fproducts%252Fmaterialize%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Freal-time-analytic-database%2526source%253Dcategory&secure%5Btoken%5D=0cedeebf83d045ab97eefc668de6fe6954c1bb7953a0f15db2515ffe1429f9df&secure%5Burl%5D=https%3A%2F%2Fquestdb.com&secure%5Burl_type%5D=company_website)

---

## What Are the Top-Rated Real-time Analytic Database Software Products in 2026?
### 1. [CrateDB](https://www.g2.com/products/cratedb/reviews)
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?**

- **Ease of Use:** 8.9/10 (Category avg: 8.2/10)
- **Quality of Support:** 9.1/10 (Category avg: 8.8/10)

**Who Is the Company Behind CrateDB?**

- **Seller:** [CrateDB](https://www.g2.com/sellers/cratedb)
- **Company Website:** https://cratedb.com/
- **Year Founded:** 2013
- **HQ Location:** Redwood City, CA
- **Twitter:** @cratedb (4,176 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/crateio/ (44 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-Business, 31% Mid-Market


#### What Are CrateDB's Pros and Cons?

**Pros:**

- Ease of Use (12 reviews)
- SQL Usage (11 reviews)
- Easy Integrations (10 reviews)
- Flexibility (10 reviews)
- Features (9 reviews)

**Cons:**

- Lack of Features (5 reviews)
- Software Limitations (4 reviews)
- Limited Features (3 reviews)
- Poor Documentation (3 reviews)
- Complex Configuration (2 reviews)


### What Do G2 Reviewers Say About CrateDB?
*AI-generated summary from verified user reviews*

**Pros:**

- Users appreciate the **ease of setup** and familiar SQL querying, enhancing their database management experience with CrateDB.
- Users appreciate the **fast SQL querying** capabilities of CrateDB, enhancing performance for large datasets and data streams.
- Users appreciate the **easy integrations** of CrateDB, streamlining the process of connecting tools in production environments.
- Users value the **flexibility** of CrateDB, enabling adaptation to diverse data needs and deployment scenarios.
- Users value the **multi-model data support** of CrateDB, enabling versatile data storage and powerful search capabilities.

**Cons:**

- Users note a **lack of features** , particularly in comparative tools and advanced SQL functions, limiting CrateDB's usability.
- Users express concerns about **software limitations** , including a restricted ecosystem and lack of advanced SQL features.
- Users note the **limited features** of CrateDB, particularly in connectors and advanced analytical capabilities.
- Users find the **documentation lacking** , especially regarding custom configurations and integrations in CrateDB.
- Users experience **complex configuration** challenges with CrateDB, particularly regarding Kubernetes and database sharding control.

#### What Are Recent G2 Reviews of CrateDB?

**"[Easy Setup, High Performance SQL](https://www.g2.com/survey_responses/cratedb-review-12043586)"**

**Rating:** 4.0/5.0 stars
*— Marcin G.*

[Read full review](https://www.g2.com/survey_responses/cratedb-review-12043586)

---

**"[Scalable Real-Time Time-Series SQL That’s Built for Observability](https://www.g2.com/survey_responses/cratedb-review-12452794)"**

**Rating:** 5.0/5.0 stars
*— Cristian M.*

[Read full review](https://www.g2.com/survey_responses/cratedb-review-12452794)

---



### 2. [SingleStore](https://www.g2.com/products/singlestore/reviews)
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: 8.2/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.8/10)

**Who Is the Company Behind SingleStore?**

- **Seller:** [SingleStore](https://www.g2.com/sellers/singlestore)
- **Year Founded:** 2011
- **HQ Location:** San Francisco, CA
- **Twitter:** @SingleStoreDB (15,447 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/singlestore/ (549 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% Enterprise, 37% Small-Business



#### What Are Recent G2 Reviews of SingleStore?

**"[Singlestore is best in market compared to Google's Bigquery](https://www.g2.com/survey_responses/singlestore-review-10241332)"**

**Rating:** 5.0/5.0 stars
*— Satwik L.*

[Read full review](https://www.g2.com/survey_responses/singlestore-review-10241332)

---

**"[Great near real-time analytics database](https://www.g2.com/survey_responses/singlestore-review-9379490)"**

**Rating:** 4.5/5.0 stars
*— Matt N.*

[Read full review](https://www.g2.com/survey_responses/singlestore-review-9379490)

---


#### What Are G2 Users Discussing About SingleStore?

- [What are the benefits and drawbacks of using SingleStore for database management?](https://www.g2.com/discussions/what-are-the-benefits-and-drawbacks-of-using-singlestore-for-database-management)
- [What is SingleStore used for?](https://www.g2.com/discussions/what-is-singlestore-used-for)

### 3. [KX](https://www.g2.com/products/kx-kx/reviews)
We power the time-aware data-driven decisions that enable fast-moving organizations to realize the full potential of their AI investments and outpace competitors. Our technology delivers transformational value by addressing data challenges around completeness, timeliness, and efficiency. We enable organizations to understand change over time and generate faster, more accurate insights — at any scale, and with cost efficiency. Our technology is essential to the operations of the world's top investment banks, aerospace and defense, high-tech manufacturing, healthcare and life sciences, automotive, and fleet telematics organizations. The primary audience for KX encompasses line-of-business leaders, developers, data scientists, and data engineers who require sophisticated analytics capabilities to create high-performance, data-driven applications. With its unmatched speed and scalability, KX allows users to efficiently process large volumes of data, whether in cloud environments, on-premises, or at the edge. This flexibility ensures that organizations can integrate KX technology into their existing workflows seamlessly, enhancing their analytical capabilities without causing disruptions to ongoing operations. KX distinguishes itself in the analytics landscape through its independently benchmarked performance, recognized as the fastest available on the market. This speed is vital for businesses that depend on real-time data insights to inform their decision-making processes. By enabling users to uncover richer, actionable insights quickly, KX facilitates faster and more informed choices, driving competitive advantage and transformative growth. Its ability to manage complex data sets and deliver insights promptly is particularly advantageous for industries that operate in fast-paced environments, where timely information is critical. Key features of KX include advanced time series and vector data analytics capabilities, which enable efficient management and analysis of extensive data volumes. Furthermore, KX integrates seamlessly with popular analytics tools, enhancing their performance and allowing users to maximize their existing investments. The platform's architecture is designed for high performance, ensuring that organizations can scale their analytics operations as needed without sacrificing speed or efficiency. With a global presence across North America, Europe, and Asia Pacific, KX is trusted by leading organizations to spearhead their data and AI initiatives. By providing a powerful analytics solution, KX not only enhances operational efficiency but also fosters a culture of innovation, empowering businesses to remain competitive in an increasingly data-driven world.


**Average Rating:** 4.6/5.0
**Total Reviews:** 50
**How Do G2 Users Rate KX?**

- **Ease of Use:** 6.7/10 (Category avg: 8.2/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.8/10)

**Who Is the Company Behind KX?**

- **Seller:** [KX](https://www.g2.com/sellers/kx-a145756d-91d3-463e-a51d-9e13b1ac577c)
- **Year Founded:** 1996
- **HQ Location:** NY, USA
- **Twitter:** @kxsystems (4,168 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/kx-systems (492 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Financial Services, Banking
- **Company Size:** 57% Enterprise, 25% Small-Business


#### What Are KX's Pros and Cons?

**Pros:**

- Speed (11 reviews)
- Performance (9 reviews)
- Tool Power (7 reviews)
- Efficiency (6 reviews)
- Fast Processing (6 reviews)

**Cons:**

- Learning Curve (12 reviews)
- Difficult Learning (7 reviews)
- Steep Learning Curve (7 reviews)
- Complexity (2 reviews)
- Expensive (2 reviews)


### What Do G2 Reviewers Say About KX?
*AI-generated summary from verified user reviews*

**Pros:**

- Users highlight the **lightning-fast performance** of KX, enabling swift data-driven decisions in dynamic environments.
- Users commend KX for its **exceptional performance** , effectively handling large time-series data with impressive efficiency.
- Users praise the **power and versatility** of KX products, noting their efficiency in handling complex data tasks.
- Users value the **efficiency** of KX, enabling rapid problem-solving and superior data processing capabilities.
- Users praise the **fast processing** of KX, noting its exceptional speed and efficiency in handling data analytics.

**Cons:**

- Users find the **learning curve steep** , requiring significant dedication and time to master KX effectively.
- Users find KX has a **difficult learning curve** that challenges beginners and complicates initial code debugging.
- Users find the **steep learning curve** of KX challenging, yet appreciate the helpful documentation and training resources.
- Users find the **complexity of the q language** to be a significant barrier to entry and challenging to master.
- Users find KX licenses to be **expensive** , especially for hobbyists and small organizations needing yearly renewals.

#### What Are Recent G2 Reviews of KX?

**"[The best ecosystem for quants and data engineers](https://www.g2.com/survey_responses/kx-review-10651130)"**

**Rating:** 5.0/5.0 stars
*— Alex T.*

[Read full review](https://www.g2.com/survey_responses/kx-review-10651130)

---

**"[KX is an incredible company with the best time-series database in the world.](https://www.g2.com/survey_responses/kx-review-11467454)"**

**Rating:** 5.0/5.0 stars
*— Kenan D.*

[Read full review](https://www.g2.com/survey_responses/kx-review-11467454)

---



### 4. [StarTree](https://www.g2.com/products/startree/reviews)
StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment.


**Average Rating:** 4.5/5.0
**Total Reviews:** 29
**How Do G2 Users Rate StarTree?**

- **Ease of Use:** 7.5/10 (Category avg: 8.2/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.8/10)

**Who Is the Company Behind StarTree?**

- **Seller:** [StarTree](https://www.g2.com/sellers/startree)
- **Company Website:** https://www.startree.ai/
- **Year Founded:** 2019
- **HQ Location:** Mountain View, California
- **Twitter:** @startreedata (2,275 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/startreedata/ (118 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 38% Small-Business, 31% Enterprise


#### What Are StarTree's Pros and Cons?

**Pros:**

- Performance (4 reviews)
- Analytics (3 reviews)
- Ease of Use (3 reviews)
- Fast Querying (3 reviews)
- Interface Ease-of-Use (3 reviews)

**Cons:**

- Learning Curve (3 reviews)
- Complex Setup (2 reviews)
- Difficult Setup (2 reviews)
- Insufficient Documentation (2 reviews)
- Poor Documentation (2 reviews)


### What Do G2 Reviewers Say About StarTree?
*AI-generated summary from verified user reviews*

**Pros:**

- Users praise the **fast real-time analytics** of StarTree, appreciating its efficiency and reliability for large datasets.
- Users love the **fast real-time analytics** of StarTree, enabling quick insights and efficient data exploration at scale.
- Users appreciate the **ease of use** of StarTree, enjoying intuitive navigation and efficient onboarding for analytics tasks.
- Users commend StarTree for its **extremely fast querying** , enabling efficient real-time analytics on large datasets effortlessly.
- Users praise the **intuitive interface** of StarTree, making real-time analytics exploration easy and efficient for all.

**Cons:**

- Users find the **learning curve steep** initially, especially for tuning and configuring StarTree effectively.
- Users find the **complex setup** challenging, particularly for new users needing to configure performance and pipelines.
- Users find the **difficult setup** challenging, especially for beginners and with complex integrations, impacting initial experience.
- Users find the **insufficient documentation** challenging, especially for complex configurations and specific use cases.
- Users face issues with **poor documentation** , finding it lacking in detail and clarity for configuration and setup.

#### What Are Recent G2 Reviews of StarTree?

**"[Powerful Real-Time Analytics with Intuitive Interface and Seamless Scalability](https://www.g2.com/survey_responses/startree-review-11958223)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Computer Software*

[Read full review](https://www.g2.com/survey_responses/startree-review-11958223)

---

**"[Blazing-Fast Real-Time Analytics with Intuitive UI](https://www.g2.com/survey_responses/startree-review-11977802)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Graphic Design*

[Read full review](https://www.g2.com/survey_responses/startree-review-11977802)

---



### 5. [Materialize](https://www.g2.com/products/materialize/reviews)
Materialize is a modern responsive front-end framework based on material design.


**Average Rating:** 4.7/5.0
**Total Reviews:** 15
**How Do G2 Users Rate Materialize?**

- **Ease of Use:** 9.5/10 (Category avg: 8.2/10)
- **Quality of Support:** 8.1/10 (Category avg: 8.8/10)

**Who Is the Company Behind Materialize?**

- **Seller:** [Materialize](https://www.g2.com/sellers/materialize)
- **Year Founded:** 2019
- **HQ Location:** Los Angeles, CA
- **LinkedIn® Page:** https://www.linkedin.com/company/materialize-pro (26 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 56% Small-Business, 44% Mid-Market



#### What Are Recent G2 Reviews of Materialize?

**"[Building Applications with pre-builted components!](https://www.g2.com/survey_responses/materialize-review-4124787)"**

**Rating:** 4.5/5.0 stars
*— Spencer R.*

[Read full review](https://www.g2.com/survey_responses/materialize-review-4124787)

---

**"[A great CSS and JS framework](https://www.g2.com/survey_responses/materialize-review-1343271)"**

**Rating:** 4.5/5.0 stars
*— Parth M.*

[Read full review](https://www.g2.com/survey_responses/materialize-review-1343271)

---


#### What Are G2 Users Discussing About Materialize?

- [What is Materialize used for?](https://www.g2.com/discussions/what-is-materialize-used-for)

### 6. [ClickHouse](https://www.g2.com/products/clickhouse/reviews)
ClickHouse is the fastest and most resource efficient real-time database and data warehouse. ClickHouse is optimized to serve a wide range of data-intensive workloads, from powering interactive user-facing dashboards to running ad-hoc historical analysis over petabytes of data. Today, ClickHouse Cloud is used by enterprises all over the world, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more. ClickHouse is available open-source or through cloud services on AWS, GCP, and soon, Azure.


**Average Rating:** 4.5/5.0
**Total Reviews:** 22
**How Do G2 Users Rate ClickHouse?**

- **Ease of Use:** 8.8/10 (Category avg: 8.2/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.8/10)

**Who Is the Company Behind ClickHouse?**

- **Seller:** [ClickHouse](https://www.g2.com/sellers/clickhouse)
- **Year Founded:** 2021
- **HQ Location:** Palo Alto, US
- **Twitter:** @ClickhouseDB (18,013 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/clickhouseinc/ (577 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 52% Small-Business, 39% Mid-Market


#### What Are ClickHouse's Pros and Cons?

**Pros:**

- Analytics (1 reviews)
- Availability (1 reviews)
- Big Data Handling (1 reviews)
- Data Analytics (1 reviews)
- Data Storage (1 reviews)

**Cons:**

- Beginner Unfriendliness (1 reviews)
- Complex Usage (1 reviews)
- Query Optimization (1 reviews)
- Required Expertise (1 reviews)
- Training Required (1 reviews)


### What Do G2 Reviewers Say About ClickHouse?
*AI-generated summary from verified user reviews*

**Pros:**

- Users appreciate the **exceptional query performance** of ClickHouse, making analytics fast and efficient on large datasets.
- Users value the **high availability** of ClickHouse, ensuring seamless performance and reliability for large-scale data analytics.
- Users value the **exceptional query performance** of ClickHouse, enabling fast and efficient analytics on large datasets.
- Users value the **exceptional query performance** of ClickHouse, enabling lightning-fast analytics on large datasets.
- Users appreciate ClickHouse for its **exceptional data storage** capabilities, optimizing performance and efficiency for large datasets.

**Cons:**

- Users find **beginner unfriendliness** in ClickHouse due to the complex query optimizations needing advanced knowledge.
- Users find **complex usage** challenging, particularly with query optimizations needing advanced expertise that newcomers may not have.
- Users find that **complex query optimizations** demand expertise, posing challenges for new users learning the system.
- Users find that **complex query optimizations require deeper expertise** , posing challenges for newcomers to ClickHouse.
- Users find that **training is required** for complex query optimizations, posing challenges for newcomers to ClickHouse.

#### What Are Recent G2 Reviews of ClickHouse?

**"[Best Tool for Collecting Logs and Traces for My AI Data Warehouse](https://www.g2.com/survey_responses/clickhouse-review-12563218)"**

**Rating:** 5.0/5.0 stars
*— Pintraj K.*

[Read full review](https://www.g2.com/survey_responses/clickhouse-review-12563218)

---

**"[ClickHouse Delivers Blazing-Fast Performance for Real-Time Analytics](https://www.g2.com/survey_responses/clickhouse-review-12540827)"**

**Rating:** 5.0/5.0 stars
*— Sachin S.*

[Read full review](https://www.g2.com/survey_responses/clickhouse-review-12540827)

---


#### What Are G2 Users Discussing About ClickHouse?

- [Why is ClickHouse faster?](https://www.g2.com/discussions/why-is-clickhouse-faster)
- [Is ClickHouse SQL database?](https://www.g2.com/discussions/is-clickhouse-sql-database)
- [Is ClickHouse a datawarehouse?](https://www.g2.com/discussions/is-clickhouse-a-datawarehouse)
- [What is ClickHouse good for?](https://www.g2.com/discussions/what-is-clickhouse-good-for)

### 7. [Rayven](https://www.g2.com/products/rayven/reviews)
What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average).


**Average Rating:** 4.9/5.0
**Total Reviews:** 29
**How Do G2 Users Rate Rayven?**

- **Ease of Use:** 9.9/10 (Category avg: 8.2/10)
- **Quality of Support:** 9.9/10 (Category avg: 8.8/10)

**Who Is the Company Behind Rayven?**

- **Seller:** [Rayven](https://www.g2.com/sellers/rayven)
- **Year Founded:** 2016
- **HQ Location:** Sydney, AU
- **Twitter:** @RayvenIOT (56 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/rayveniot/ (33 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Retail
- **Company Size:** 69% Mid-Market, 52% Small-Business


#### What Are Rayven's Pros and Cons?

**Pros:**

- Ease of Use (61 reviews)
- Features (49 reviews)
- Automation (44 reviews)
- Customization (42 reviews)
- Data Management (36 reviews)

**Cons:**

- Learning Curve (32 reviews)
- Difficult Learning (30 reviews)
- Learning Difficulty (25 reviews)
- Complex Setup (21 reviews)
- Setup Complexity (19 reviews)


### What Do G2 Reviewers Say About Rayven?
*AI-generated summary from verified user reviews*

**Pros:**

- Users find Rayven's **ease of use** exceptional, simplifying automation and integration with intuitive drag-and-drop tools.
- Users appreciate Rayven's **robust real-time data handling** and advanced AI capabilities for operational efficiency and flexibility.
- Users value the **automation capabilities** of Rayven, enabling seamless integration and real-time data tracking for enhanced efficiency.
- Users value Rayven's **customization capabilities** , allowing tailored solutions for seamless integration and enhanced operational efficiency.
- Users commend Rayven for its **robust data management capabilities** , ensuring efficient operations with minimal latency and high reliability.

**Cons:**

- Users experience a **steep learning curve** due to complex configurations, making initial setup overwhelming for beginners.
- Users find the **difficult learning curve** with Rayven challenging, requiring time and support for effective usage.
- Users experience a **steep initial learning curve** with Rayven, requiring time and support for effective onboarding.
- Users find the **complex setup** of Rayven challenging, especially for advanced features and multi-site deployments.
- Users find the **setup complexity** challenging, requiring significant time and technical knowledge for optimal configuration.

#### What Are Recent G2 Reviews of Rayven?

**"[Seamless Automation and Predictive Maintenance with Rayven](https://www.g2.com/survey_responses/rayven-review-12211094)"**

**Rating:** 5.0/5.0 stars
*— Keith N.*

[Read full review](https://www.g2.com/survey_responses/rayven-review-12211094)

---

**"[Rayven's Low-Code Platform is the Fastest Way to Build and Scale Intelligent Apps](https://www.g2.com/survey_responses/rayven-review-11780301)"**

**Rating:** 5.0/5.0 stars
*— John M.*

[Read full review](https://www.g2.com/survey_responses/rayven-review-11780301)

---



### 8. [DoubleCloud](https://www.g2.com/products/doublecloud/reviews)
DoubleCloud is winding down operations. The company ceased creating new accounts on October 1, 2024, and will completely close on March 1, 2025. DoubleCloud specialized in data analytics infrastructure, offering managed services for open-source data technologies. Throughout its operations, DoubleCloud provided tools for building data pipelines, including solutions for data ingestion, storage, orchestration, ELT, and real-time visualization. The company was committed to helping businesses streamline and optimize their data operations with powerful, open-source-based technologies.


**Average Rating:** 4.9/5.0
**Total Reviews:** 4
**How Do G2 Users Rate DoubleCloud?**

- **Ease of Use:** 9.2/10 (Category avg: 8.2/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind DoubleCloud?**

- **Seller:** [DoubleCloud](https://www.g2.com/sellers/doublecloud)
- **Year Founded:** 2022
- **HQ Location:** Dubai, AE
- **LinkedIn® Page:** https://www.linkedin.com/company/doublecloudplatform/ (6 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 75% Small-Business, 25% Mid-Market



#### What Are Recent G2 Reviews of DoubleCloud?

**"[Cost-effective and reliable managed service for Clickhouse](https://www.g2.com/survey_responses/doublecloud-review-9843068)"**

**Rating:** 5.0/5.0 stars
*— George P.*

[Read full review](https://www.g2.com/survey_responses/doublecloud-review-9843068)

---

**"[Best Managed Service for Kafka and Clickhouse](https://www.g2.com/survey_responses/doublecloud-review-9736764)"**

**Rating:** 5.0/5.0 stars
*— Adarsh T.*

[Read full review](https://www.g2.com/survey_responses/doublecloud-review-9736764)

---



### 9. [CelerData Cloud](https://www.g2.com/products/celerdata-cloud/reviews)
CelerData Cloud is the fastest, secure analytical engine that powers customer-facing and AI-driven analytics at scale, delivering consistently reliable and unbeatable performance with a future-proof architecture—ensuring real-time access to open data without ingestion delays or costly data pipelines. Powered by StarRocks, CelerData delivers 3X the performance/cost of any other solution on the market and is the only platform uniquely designed to enable users to simplify their lakehouse architecture and ditch the need for a data warehouse. CelerData is used worldwide by market-leading brands including Coinbase, Pinterest, Demandbase, and Expedia to generate critical new insights for these data-driven companies.


**Average Rating:** 4.8/5.0
**Total Reviews:** 3
**How Do G2 Users Rate CelerData Cloud?**

- **Ease of Use:** 9.4/10 (Category avg: 8.2/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind CelerData Cloud?**

- **Seller:** [CelerData](https://www.g2.com/sellers/celerdata)
- **Company Website:** https://celerdata.com
- **Year Founded:** 2022
- **HQ Location:** Menlo Park, US
- **LinkedIn® Page:** https://www.linkedin.com/company/starrocks (65 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 67% Small-Business, 33% Enterprise


#### What Are CelerData Cloud's Pros and Cons?

**Pros:**

- Customer Support (3 reviews)
- Fast Querying (3 reviews)
- Performance (3 reviews)
- Fast Communication (2 reviews)
- Fast Processing (2 reviews)



### What Do G2 Reviewers Say About CelerData Cloud?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **excellent customer support** from CelerData, enhancing their overall experience and confidence in the product.
- Users value the **incredibly fast query performance** of CelerData Cloud, enhancing their data strategy significantly.
- Users value the **incredibly fast query performance** of CelerData Cloud, backed by excellent support for data strategy transformation.
- Users value the **fast communication** from CelerData Cloud, enhancing their data management experience with swift support.
- Users value the **incredibly fast query performance** of CelerData Cloud, enhancing their data strategy confidently and effectively.


#### What Are Recent G2 Reviews of CelerData Cloud?

**"[Transforming Big Data with StarRocks](https://www.g2.com/survey_responses/celerdata-cloud-review-11609872)"**

**Rating:** 5.0/5.0 stars
*— Emre K.*

[Read full review](https://www.g2.com/survey_responses/celerdata-cloud-review-11609872)

---

**"[A powerful SQL engine for your most demanding workloads](https://www.g2.com/survey_responses/celerdata-cloud-review-11630143)"**

**Rating:** 4.5/5.0 stars
*— Ye Z.*

[Read full review](https://www.g2.com/survey_responses/celerdata-cloud-review-11630143)

---



### 10. [InfluxDB](https://www.g2.com/products/influxdata-influxdb/reviews)
InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 300 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University at https://university.influxdata.com


**Average Rating:** 4.4/5.0
**Total Reviews:** 98
**How Do G2 Users Rate InfluxDB?**

- **Ease of Use:** 8.5/10 (Category avg: 8.2/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.8/10)

**Who Is the Company Behind InfluxDB?**

- **Seller:** [InfluxData](https://www.g2.com/sellers/influxdata-c4358581-7be9-4eec-a0bc-bd083f9c5468)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, California
- **Twitter:** @InfluxData (22 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/5159145/ (179 employees on LinkedIn®)

**Who Uses This Product?**
- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 59% Small-Business, 23% Mid-Market



#### What Are Recent G2 Reviews of InfluxDB?

**"[Best Time-series database](https://www.g2.com/survey_responses/influxdb-review-9729657)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Automotive*

[Read full review](https://www.g2.com/survey_responses/influxdb-review-9729657)

---

**"[Fast, Economical, and Flexible for Time-Series](https://www.g2.com/survey_responses/influxdb-review-12738371)"**

**Rating:** 5.0/5.0 stars
*— Hanna  R.*

[Read full review](https://www.g2.com/survey_responses/influxdb-review-12738371)

---


#### What Are G2 Users Discussing About InfluxDB?

- [What are the benefits and drawbacks of using InfluxDB for time-series data storage?](https://www.g2.com/discussions/what-are-the-benefits-and-drawbacks-of-using-influxdb-for-time-series-data-storage)
- [What is InfluxDB used for?](https://www.g2.com/discussions/influxdb-what-is-influxdb-used-for)
- [How do I write an InfluxDB query?](https://www.g2.com/discussions/how-do-i-write-an-influxdb-query)
- [Does Prometheus use InfluxDB?](https://www.g2.com/discussions/does-prometheus-use-influxdb)
- [Is InfluxDB free to use?](https://www.g2.com/discussions/is-influxdb-free-to-use) - 2 comments

### 11. [Tiger Data](https://www.g2.com/products/tiger-data/reviews)
Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of history, all queryable in standard SQL. For IoT, Web3, and AI. Why teams choose Tiger Data: - Trusted by thousands of developers. 3M+ active databases, 2k+ customers - Up to 95% Compression. Keep years of history online at a fraction of the cost. - Production-ready without the operational pain. Multi-AZ HA, PITR, cross-region backups, SOC 2/HIPAA/GDPR, deep observability. - Scale effortlessly. Disaggregated compute & storage. Never pay for idle capacity. - Unified data architecture. Connect any data source and automatically sync it between your operational database, and data lake. - Hyperscaler procurement. Available on AWS Marketplace and Azure Marketplace. Key capabilities: - Automatic partitioning Ingest millions of data points per second without manual table management or sharding. - Incremental materialized views Precompute and cache rollups for instant dashboards and APIs. - Hybrid row/column storage Fast writes, compressed reads, optimized for real-time and historical queries. - Compression (up to 95%) Columnar encodings apply filters & aggregates directly on compressed data for faster queries and big savings. - Tiered Storage Automatically move older or less-frequently accessed data to low-cost object storage while keeping it fully queryable through the same SQL interface. - Fully managed Postgres Cloud Scale compute and storage independently, tier S3 storage to manage costs, deploy globally, and skip database ops. Industry verticals: Developers and platform teams in Industrial IoT, manufacturing, Crypto, SaaS/ML and DevOps tooling rely on Tiger to combine operational and historical data for real-time dashboards and mission-critical insights, queryable in standard-SQL. How to get started: Try Tiger Cloud for 1-month free with no credit card needed, or use us indefinitely as part of our free plan. Get started now - https://console.cloud.timescale.com/signup?utm\_source=g2&utm\_medium=referral&utm\_campaign=free-trial-g2


**Average Rating:** 4.6/5.0
**Total Reviews:** 33
**How Do G2 Users Rate Tiger Data?**

- **Ease of Use:** 9.0/10 (Category avg: 8.2/10)
- **Quality of Support:** 9.5/10 (Category avg: 8.8/10)

**Who Is the Company Behind Tiger Data?**

- **Seller:** [Tiger Data (creators of TimescaleDB)](https://www.g2.com/sellers/tiger-data-creators-of-timescaledb)
- **Company Website:** https://www.tigerdata.com/
- **Year Founded:** 2015
- **HQ Location:** New York, New York
- **Twitter:** @TigerDatabase (1,343 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/timescaledb/ (40 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 79% Small-Business, 18% Mid-Market


#### What Are Tiger Data's Pros and Cons?

**Pros:**

- Ease of Use (8 reviews)
- Easy Setup (5 reviews)
- Setup Ease (5 reviews)
- Analytics (4 reviews)
- Performance (4 reviews)

**Cons:**

- Expensive (4 reviews)
- Expensive Licensing (3 reviews)
- Missing Features (3 reviews)
- Poor UI (3 reviews)
- Slow Performance (3 reviews)


### What Do G2 Reviewers Say About Tiger Data?
*AI-generated summary from verified user reviews*

**Pros:**

- Users love the **clean and intuitive UI** of Tiger Data, making navigation and setup exceptionally easy.
- Users admire the **easy setup** of Tiger Data, enabling quick instance creation and seamless management.
- Users highlight the **setup ease** of Tiger Data, appreciating quick configuration and effective management tools.
- Users value the **ease of data access and insightful analytics** , enhancing decision-making and improving workflow efficiency.
- Users highlight the **impressive performance** of Tiger Data, enhancing data analysis and decision-making efficiency significantly.

**Cons:**

- Users feel that the pricing is **expensive** and lacks flexibility, particularly for smaller projects or startups.
- Users find the **expensive licensing** of Tiger Data a concern, especially for hobby projects and scaling costs.
- Users highlight the **missing features** in Tiger Data, particularly the lack of advanced visualizers for vector data.
- Users experience a **slow and cumbersome UI** , particularly when handling large datasets, affecting overall workflow efficiency.
- Users find that the **slow performance** of Tiger Data's UI hampers efficiency, especially with large datasets.

#### What Are Recent G2 Reviews of Tiger Data?

**"[Efficient and powerful database platform for scalable analytics](https://www.g2.com/survey_responses/tiger-data-review-11732784)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Computer Software*

[Read full review](https://www.g2.com/survey_responses/tiger-data-review-11732784)

---

**"[Effective tool for data insights](https://www.g2.com/survey_responses/tiger-data-review-11740247)"**

**Rating:** 4.0/5.0 stars
*— Kartikey A.*

[Read full review](https://www.g2.com/survey_responses/tiger-data-review-11740247)

---



### 12. [Tinybird](https://www.g2.com/products/tinybird/reviews)
Tinybird is a fully managed ClickHouse® service designed for software developers and AI-native product teams by enabling them to create large-scale real-time analytics projects with minimal effort. Tinybird makes integrating the open source ClickHouse database into applications simpler, faster, and more reliable, allowing engineers to focus on feature development rather than infrastructure management. Tinybird eliminates the complexities associated with traditional database management, making it an ideal choice for teams looking to leverage the power of ClickHouse without the overhead of server maintenance and scaling concerns. The target audience for Tinybird includes software developers, data engineers, technical founders, and AI-native product teams building real-time analytics capabilities in their applications. With the increasing demand for real-time data processing, Tinybird caters to teams that need to deliver insights quickly and efficiently. Use cases for Tinybird span various industries, including SaaS, e-commerce, finance, crypto, AI, and IoT, where real-time data analysis is crucial for decision-making and operational efficiency. By providing a managed service, Tinybird allows software engineers to deploy analytics features in days rather than months, significantly accelerating project timelines. Key features of Tinybird include a hosted ClickHouse database plus managed data ingestion and API layers, which simplify the process of integrating analytics into applications. The built-in authentication tools enhance security and data privacy, with support for row-level access policies using JWTs. Free observability logs storage and querying allow users to keep tabs on usage and performance. AI-native features, including Tinybird Code - a CLI agent with deep ClickHouse expertise - plus the Tinybird MCP Server, make integrating analytics features into LLM apps simpler and more robust. Additionally, Tinybird's architecture is designed to handle scaling automatically, allowing teams to focus on their core development tasks without worrying about understanding a new database or worrying about infrastructure details. For those who desire infrastructure control, Tinybird offers self-managed deployment, for free. This unique combination of features enables users to ship data-driven features rapidly while maintaining high performance and reliability. Tinybird stands out in the real-time analytics database landscape by providing the performance of one of the world's fastest OLAP databases without the associated complexity. By abstracting the technical challenges of managing clusters and provisioning resources, Tinybird empowers teams to innovate and iterate on their products more quickly. The service's emphasis on ease of use and rapid deployment makes it an attractive option for organizations looking to harness the power of real-time analytics without the burden of extensive operational overhead. With Tinybird, users can unlock the potential of their data and drive impactful insights, all while enjoying a seamless and efficient development experience.


**Average Rating:** 4.1/5.0
**Total Reviews:** 14
**How Do G2 Users Rate Tinybird?**

- **Ease of Use:** 7.7/10 (Category avg: 8.2/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.8/10)

**Who Is the Company Behind Tinybird?**

- **Seller:** [Tinybird](https://www.g2.com/sellers/tinybird)
- **Company Website:** https://tinybird.co
- **Year Founded:** 2019
- **HQ Location:** New York, US
- **LinkedIn® Page:** https://www.linkedin.com/company/35704741 (51 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Computer Software
- **Company Size:** 50% Mid-Market, 36% Small-Business


#### What Are Tinybird's Pros and Cons?

**Pros:**

- Ease of Use (6 reviews)
- Analytics (4 reviews)
- Easy Integrations (4 reviews)
- Features (4 reviews)
- Integrations (4 reviews)

**Cons:**

- Poor Customer Support (3 reviews)
- Lack of Features (2 reviews)
- Learning Curve (2 reviews)
- Learning Difficulty (2 reviews)
- Limited Customization (2 reviews)


### What Do G2 Reviewers Say About Tinybird?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **ease of use** in Tinybird, facilitating quick integrations and seamless development of real-time analytics.
- Users value Tinybird for its **accurate real-time analytics** , simplifying integration and decision-making processes.
- Users value the **easy integrations** with other apps, enhancing the speed and efficiency of real-time analytics development.
- Users praise Tinybird for its **ease of integration and real-time analytics** , enhancing developer efficiency and product capabilities.
- Users value the **easy integrations** with apps like Confluent Cloud, enhancing real-time analytics and product development.

**Cons:**

- Users report **poor customer support** , with delays in response times and inadequate documentation for new users.
- Users note a **lack of features** in Tinybird, limiting integration and customization options for various business needs.
- Users struggle with the **steep learning curve** of Tinybird, finding it challenging to navigate and utilize effectively.
- Users find that **learning difficulty** hampers their experience, especially due to the complex interface and inadequate documentation.
- Users experience **limited customization** with Tinybird, hindering data flow and adaptability for varying business requirements.

#### What Are Recent G2 Reviews of Tinybird?

**"[Best tool for building dashboards and develop low latency APIs](https://www.g2.com/survey_responses/tinybird-review-9121969)"**

**Rating:** 4.0/5.0 stars
*— Maxwel S.*

[Read full review](https://www.g2.com/survey_responses/tinybird-review-9121969)

---

**"[Building real-time analytics made simple with Tinybird](https://www.g2.com/survey_responses/tinybird-review-9122091)"**

**Rating:** 4.5/5.0 stars
*— Bhavya J.*

[Read full review](https://www.g2.com/survey_responses/tinybird-review-9122091)

---


#### What Are G2 Users Discussing About Tinybird?

- [What is Tinybird used for?](https://www.g2.com/discussions/what-is-tinybird-used-for)

### 13. [Apache Pinot](https://www.g2.com/products/apache-pinot/reviews)
Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency


**Average Rating:** 4.8/5.0
**Total Reviews:** 2
**How Do G2 Users Rate Apache Pinot?**

- **Ease of Use:** 5.0/10 (Category avg: 8.2/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind Apache Pinot?**

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF (66,168 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,408 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 50% Mid-Market, 50% Small-Business



#### What Are Recent G2 Reviews of Apache Pinot?

**"[Best OLAP](https://www.g2.com/survey_responses/apache-pinot-review-9563304)"**

**Rating:** 4.5/5.0 stars
*— Rahul G.*

[Read full review](https://www.g2.com/survey_responses/apache-pinot-review-9563304)

---

**"[Realtime data from microservices to insights](https://www.g2.com/survey_responses/apache-pinot-review-8426149)"**

**Rating:** 5.0/5.0 stars
*— Davi Z.*

[Read full review](https://www.g2.com/survey_responses/apache-pinot-review-8426149)

---



### 14. [Imply](https://www.g2.com/products/imply/reviews)
Our real-time analytics database, built from Apache Druid, enables developers to build the next generation of analytics applications. With Imply, developers can build without constraints as our database lets them create interactive data experiences on streaming and batch data with limitless scale and at the best economics. Imply delivers the complete developer experience for Apache Druid. Founded by its original creators, Imply adds to the speed and scale of the database with committer-driven expertise, effortless operations, and cloud deployment to meet developers’ application requirements with ease. Backed by leading investors including Thoma Bravo, a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory - disrupting the $100B database market - with customers including Twitter, Salesforce, Atlassian, Reddit, and Intercontinental Exchange.


**Average Rating:** 4.3/5.0
**Total Reviews:** 4
**How Do G2 Users Rate Imply?**

- **Ease of Use:** 8.3/10 (Category avg: 8.2/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.8/10)

**Who Is the Company Behind Imply?**

- **Seller:** [Imply Data, Inc.](https://www.g2.com/sellers/imply-data-inc)
- **HQ Location:** San Francisco, US
- **Twitter:** @implydata (2,003 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/imply (174 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 50% Enterprise, 25% Mid-Market


#### What Are Imply's Pros and Cons?

**Pros:**

- Availability (1 reviews)
- Collaboration (1 reviews)
- Ease of Use (1 reviews)
- Features (1 reviews)
- Flexibility (1 reviews)



### What Do G2 Reviewers Say About Imply?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **high availability** of Imply's Hybrid offering, supporting effective cluster management and technical assistance.
- Users value the **collaborative support** from Imply's dedicated architects, enhancing their experience during migration and ongoing engagement.
- Users appreciate the **ease of use** of Imply's Hybrid, allowing effective control and monitoring of clusters.
- Users value the **flexible control** and monitoring of Imply's Hybrid offering, enhancing cluster management and cost savings.
- Users appreciate the **flexibility** of Imply, allowing control over clusters and efficient timeseries data management.


#### What Are Recent G2 Reviews of Imply?

**"[Imply Druid helped us build a fast performant event driven architecture](https://www.g2.com/survey_responses/imply-review-10649865)"**

**Rating:** 4.0/5.0 stars
*— Divya B.*

[Read full review](https://www.g2.com/survey_responses/imply-review-10649865)

---

**"[Great product!!!](https://www.g2.com/survey_responses/imply-review-10319882)"**

**Rating:** 4.5/5.0 stars
*— Yaniv H.*

[Read full review](https://www.g2.com/survey_responses/imply-review-10319882)

---



### 15. [Aerospike](https://www.g2.com/products/aerospike/reviews)
The Aerospike Real-time Data Platform enables organizations to act instantly across billions of transactions while reducing server footprint by up to 80 percent. The Aerospike multi-cloud platform powers real-time applications with predictable sub-millisecond performance up to petabyte-scale with five-nines uptime with globally distributed, strongly consistent data. Applications built on the Aerospike Real-time Data Platform fight fraud, provide recommendations that dramatically increase shopping cart size, enable global digital payments, and deliver hyper-personalized user experiences to tens of millions of customers. Customers such as Airtel, Experian, Nielsen, PayPal, Snap, Wayfair, and Yahoo rely on Aerospike as their data foundation for the future.


**Average Rating:** 4.4/5.0
**Total Reviews:** 80
**How Do G2 Users Rate Aerospike?**

- **Ease of Use:** 8.5/10 (Category avg: 8.2/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.8/10)

**Who Is the Company Behind Aerospike?**

- **Seller:** [Aerospike](https://www.g2.com/sellers/aerospike)
- **Year Founded:** 2009
- **HQ Location:** Mountain View, CA
- **Twitter:** @aerospikedb (7,825 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2696852/ (306 employees on LinkedIn®)

**Who Uses This Product?**
- **Who Uses This:** Software Engineer
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 45% Mid-Market, 34% Enterprise



#### What Are Recent G2 Reviews of Aerospike?

**"[Unbelievably fast database with super replication - started production with it in one day](https://www.g2.com/survey_responses/aerospike-review-4484061)"**

**Rating:** 5.0/5.0 stars
*— Aleksander K.*

[Read full review](https://www.g2.com/survey_responses/aerospike-review-4484061)

---

**"[NOSQL database that is highly scalable.](https://www.g2.com/survey_responses/aerospike-review-4548629)"**

**Rating:** 4.5/5.0 stars
*— Shashank S.*

[Read full review](https://www.g2.com/survey_responses/aerospike-review-4548629)

---


#### What Are G2 Users Discussing About Aerospike?

- [How has Aerospike supported your real-time data processing, and what do you like most about it?](https://www.g2.com/discussions/how-has-aerospike-supported-your-real-time-data-processing-and-what-do-you-like-most-about-it)
- [What is Aerospike used for?](https://www.g2.com/discussions/aerospike-what-is-aerospike-used-for)
- [Is NoSQL an Aerospike?](https://www.g2.com/discussions/is-nosql-an-aerospike)
- [Is Aerospike free?](https://www.g2.com/discussions/is-aerospike-free)
- [What is Aerospike used for?](https://www.g2.com/discussions/what-is-aerospike-used-for)

### 16. [Druid](https://www.g2.com/products/druid/reviews)
Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics solution for real-time data. It includes stream and batch ingestion, column-oriented storage, time-optimized partitioning, native OLAP and search indexing, SQL and REST support, flexible schemas; all with true horizontal scalability on a shared nothing, cloud native architecture that makes it easy to deploy, monitor and manage at scale. It is downloadable for free for unlimited use from druid.apache.org and also hosted in the cloud by Imply Data.


**Average Rating:** 4.3/5.0
**Total Reviews:** 28
**How Do G2 Users Rate Druid?**

- **Ease of Use:** 8.0/10 (Category avg: 8.2/10)
- **Quality of Support:** 7.9/10 (Category avg: 8.8/10)

**Who Is the Company Behind Druid?**

- **Seller:** [Druid](https://www.g2.com/sellers/druid)
- **Year Founded:** 1998
- **HQ Location:** Rio de Janeiro, Rio de Janeiro
- **Twitter:** @druid (4 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/druid_2/ (89 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Computer Software
- **Company Size:** 52% Enterprise, 29% Mid-Market



#### What Are Recent G2 Reviews of Druid?

**"[Druid, Kafka and your favourite Dashboard](https://www.g2.com/survey_responses/druid-review-4549014)"**

**Rating:** 4.0/5.0 stars
*— Shashank N.*

[Read full review](https://www.g2.com/survey_responses/druid-review-4549014)

---

**"[Open-Source distributed OLAP datastore](https://www.g2.com/survey_responses/druid-review-4798040)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Computer Software*

[Read full review](https://www.g2.com/survey_responses/druid-review-4798040)

---


#### What Are G2 Users Discussing About Druid?

- [What is Druid used for?](https://www.g2.com/discussions/what-is-druid-used-for)
- [What is Druid's current status in the Apache Software Foundation?](https://www.g2.com/discussions/what-is-druid-s-current-status-in-the-apache-software-foundation)
- [What is Druid cluster?](https://www.g2.com/discussions/what-is-druid-cluster)
- [What is Druid io?](https://www.g2.com/discussions/what-is-druid-io)
- [Is Druid free?](https://www.g2.com/discussions/is-druid-free)

### 17. [GreptimeDB](https://www.g2.com/products/greptimedb/reviews)
GreptimeDB is the open-source Observability 2.0 database — treating metrics, logs, and traces as unified wide events instead of three separate pillars. The three-pillar model (Prometheus + Loki + Jaeger) creates data silos, redundant infrastructure, and cross-signal correlation pain. GreptimeDB replaces all three with one columnar engine on object storage: cross-signal SQL JOINs, up to 50x cost reduction, and native support for AI agent observability via OpenTelemetry GenAI conventions. Key advantages: full-text log indexing (vs. Loki's label-only), SQL + PromQL without a separate data warehouse, 45x less trace storage vs. Elasticsearch, and Jaeger-compatible migration in one week. Written in Rust, OpenTelemetry-native, Kubernetes-ready. Used in production processing billions of data points daily — including OB Cloud across 170+ availability zones. Open-source (Apache 2.0) · Enterprise · GreptimeCloud (fully managed)


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate GreptimeDB?**

- **Ease of Use:** 8.3/10 (Category avg: 8.2/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind GreptimeDB?**

- **Seller:** [Greptime](https://www.g2.com/sellers/greptime)
- **Year Founded:** 2022
- **HQ Location:** Sunnyvale, US
- **LinkedIn® Page:** https://www.linkedin.com/company/greptime (19 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



#### What Are Recent G2 Reviews of GreptimeDB?

**"[Predictable Telemetry Costs with First-Class Object Storage and Native OTLP Ingestion](https://www.g2.com/survey_responses/greptimedb-review-12491720)"**

**Rating:** 5.0/5.0 stars
*— Heinrich Maximilian W.*

[Read full review](https://www.g2.com/survey_responses/greptimedb-review-12491720)

---



### 18. [Kinetica](https://www.g2.com/products/kinetica/reviews)
Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joins - analyze data using SQL based analytics for spatial, graph, and time-series analytics or running containerized ML models


**Average Rating:** 4.3/5.0
**Total Reviews:** 2
**How Do G2 Users Rate Kinetica?**

- **Ease of Use:** 8.3/10 (Category avg: 8.2/10)
- **Quality of Support:** 7.5/10 (Category avg: 8.8/10)

**Who Is the Company Behind Kinetica?**

- **Seller:** [Kinetica](https://www.g2.com/sellers/kinetica)
- **Year Founded:** 2016
- **HQ Location:** Arlington, Virginia, United States
- **Twitter:** @KineticaHQ (3,461 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/kinetica/ (71 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market



#### What Are Recent G2 Reviews of Kinetica?

**"[Beneficial especially for our wind farm activities](https://www.g2.com/survey_responses/kinetica-review-9862948)"**

**Rating:** 4.5/5.0 stars
*— Leslie C.*

[Read full review](https://www.g2.com/survey_responses/kinetica-review-9862948)

---

**"[Efficient Data analytics](https://www.g2.com/survey_responses/kinetica-review-9855352)"**

**Rating:** 4.0/5.0 stars
*— Surya  K.*

[Read full review](https://www.g2.com/survey_responses/kinetica-review-9855352)

---


#### What Are G2 Users Discussing About Kinetica?

- [When was Kinetica founded?](https://www.g2.com/discussions/when-was-kinetica-founded)
- [How many employees does Kinetica have?](https://www.g2.com/discussions/how-many-employees-does-kinetica-have)
- [Is Kinetica open source?](https://www.g2.com/discussions/is-kinetica-open-source)
- [What does Kinetica do?](https://www.g2.com/discussions/what-does-kinetica-do) - 1 comment

### 19. [StarRocks](https://www.g2.com/products/starrocks/reviews)
StarRocks is a next-gen, high-performance analytical data warehouse that enables real-time, multi-dimensional, and highly concurrent data analysis. StarRocks has an MPP architecture and is equipped with a fully vectorized execution engine, a columnar storage engine that supports real-time updates, and is powered by a rich set of features including a fully-customized cost-based optimizer (CBO), intelligent materialized view and more. StarRocks supports real-time and batch data ingestion from a variety of data sources. It also allows you to directly analyze data stored in data lakes with zero data migration. StarRocks is also compatible with MySQL protocols and can be easily connected using MySQL clients and popular BI tools. StarRocks is highly scalable, available, and easy to maintain. It is widely adopted in the industry, powering a variety of OLAP scenarios, such as real-time analytics, ad-hoc queries, data lake analytics and more.


**Average Rating:** 4.8/5.0
**Total Reviews:** 2
**How Do G2 Users Rate StarRocks?**

- **Ease of Use:** 9.2/10 (Category avg: 8.2/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind StarRocks?**

- **Seller:** [StarRocks](https://www.g2.com/sellers/starrocks)
- **Year Founded:** 2022
- **HQ Location:** Menlo Park, US
- **LinkedIn® Page:** https://www.linkedin.com/company/starrocks (65 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market



#### What Are Recent G2 Reviews of StarRocks?

**"[Handling data from different systems into Data Warehouse](https://www.g2.com/survey_responses/starrocks-review-9096806)"**

**Rating:** 4.5/5.0 stars
*— Mohammad Shabbir S.*

[Read full review](https://www.g2.com/survey_responses/starrocks-review-9096806)

---

**"[StarRocks Review](https://www.g2.com/survey_responses/starrocks-review-9684581)"**

**Rating:** 5.0/5.0 stars
*— Kuldeep S.*

[Read full review](https://www.g2.com/survey_responses/starrocks-review-9684581)

---



### 20. [AutyFi Bridge Platforms Measure Success](https://www.g2.com/products/autyfi-bridge-platforms-measure-success/reviews)
AutyFi is a revolutionary app designed for business owners of every kind, connecting all business systems into one powerful dashboard. AutyFi connects and retrieves data directly so you don’t have to manually create reports or calculate KPIs. AutyFi doesn’t just provide your business with data, we offer valuable insights to help drive your business toward success. Our intuitive, easy-to-use dashboard provides actionable information to help you leverage data in a way that’s never been done before.



**Who Is the Company Behind AutyFi Bridge Platforms Measure Success?**

- **Seller:** [Autyfi](https://www.g2.com/sellers/autyfi)
- **HQ Location:** Nashville,, US
- **LinkedIn® Page:** https://www.linkedin.com/company/autyfi/ (3 employees on LinkedIn®)






### 21. [CrossCheck](https://www.g2.com/products/crosscheck/reviews)
BornTec’s CrossCheck is a platform that empowers business users by consolidating execution data into a single, unified view, unlocking value and insights. Centralizing and harmonizing diverse data sets for easier access enables real-time risk management, surveillance, and regulatory reporting. CrossCheck streamlines operations, reduces reliance on IT, and fosters proactive risk mitigation—all while supporting scalable growth. Trusted by top-tier FCMs, brokers, and banks, CrossCheck ensures that businesses operate efficiently, comply with regulatory demands, and maximize the value of their data.



**Who Is the Company Behind CrossCheck?**

- **Seller:** [BornTec](https://www.g2.com/sellers/borntec)
- **Year Founded:** 2002
- **HQ Location:** Chicago, US
- **LinkedIn® Page:** https://www.linkedin.com/company/borntec/ (18 employees on LinkedIn®)






### 22. [e6data](https://www.g2.com/products/e6data/reviews)
e6data is an object-store native query engine for heavy workloads.



**Who Is the Company Behind e6data?**

- **Seller:** [e6data](https://www.g2.com/sellers/e6data)
- **Year Founded:** 2020
- **HQ Location:** San Francisco, California, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/e6data/ (85 employees on LinkedIn®)






### 23. [Epsio](https://www.g2.com/products/epsio/reviews)
Epsio is a high-performance streaming SQL engine that incrementally maintains results for complex queries you define within your existing databases. By incrementally processing changes to the underlying data and updating previous results accordingly, Epsio significantly reduces query latency, minimizes computational overhead, and ensures consistent, up-to-date results for your heaviest SQL queries.



**Who Is the Company Behind Epsio?**

- **Seller:** [Epsio](https://www.g2.com/sellers/epsio)
- **HQ Location:** Tel Aviv, IL
- **LinkedIn® Page:** https://www.linkedin.com/company/epsio (9 employees on LinkedIn®)






### 24. [Hazelcast](https://www.g2.com/products/hazelcast-inc-hazelcast/reviews)
Hazelcast is a real-time stream processing platform that lets you build applications that take action on data immediately. Run your real-time capabilities on-premises, at the edge or as a fully managed cloud service.



**Who Is the Company Behind Hazelcast?**

- **Seller:** [Hazelcast](https://www.g2.com/sellers/hazelcast-9a5fe385-0ae1-4f16-99b0-f9f0ee1a4194)
- **Year Founded:** 2010
- **HQ Location:** Palo Alto, US
- **Twitter:** @hazelcast (9,354 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/hazelcast/ (148 employees on LinkedIn®)






### 25. [Hazelcast Platform](https://www.g2.com/products/hazelcast-platform/reviews)
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?**

- **Ease of Use:** 8.5/10 (Category avg: 8.2/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.8/10)

**Who Is the Company Behind Hazelcast Platform?**

- **Seller:** [Hazelcast](https://www.g2.com/sellers/hazelcast-9a5fe385-0ae1-4f16-99b0-f9f0ee1a4194)
- **Year Founded:** 2010
- **HQ Location:** Palo Alto, US
- **Twitter:** @hazelcast (9,354 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/hazelcast/ (148 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 54% Small-Business, 23% Enterprise


#### What Are Hazelcast Platform's Pros and Cons?

**Pros:**

- Ease of Use (1 reviews)
- Fast Processing (1 reviews)
- Flexibility (1 reviews)
- Performance (1 reviews)
- Performance Efficiency (1 reviews)

**Cons:**

- Learning Curve (1 reviews)
- Navigation Difficulty (1 reviews)
- Not User-Friendly (1 reviews)
- Poor UI (1 reviews)
- Time-Consuming (1 reviews)


### 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, enjoying its speed and low memory requirements.
- Users admire the **fast processing** of Hazelcast Platform, effectively resolving issues in distributed systems with ease.
- Users appreciate the **flexibility** of Hazelcast Platform, significantly improving their experience with distributed systems.
- Users love the **fast performance** of Hazelcast Platform, which efficiently resolves issues in distributed systems.
- Users value the **high performance and low memory usage** of Hazelcast Platform, simplifying distributed systems management effectively.

**Cons:**

- Users note a **steep learning curve** with Hazelcast Platform, requiring additional time to orient themselves effectively.
- Users find **navigation difficult** in Hazelcast Platform, leading to increased time for location coordination.
- Users find the platform **not user-friendly** , requiring extra time to navigate and locate functionalities effectively.
- Users find the **poor UI** of Hazelcast Platform makes navigation confusing and time-consuming.
- Users find the **coordination time-consuming** , making it challenging to locate features within the Hazelcast Platform.

#### What Are Recent G2 Reviews of Hazelcast Platform?

**"[Memory saver](https://www.g2.com/survey_responses/hazelcast-platform-review-4512406)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Marketing and Advertising*

[Read full review](https://www.g2.com/survey_responses/hazelcast-platform-review-4512406)

---

**"[Hazelcast is the one of the best tools for every day`s life](https://www.g2.com/survey_responses/hazelcast-platform-review-5219399)"**

**Rating:** 5.0/5.0 stars
*— Ivan Z.*

[Read full review](https://www.g2.com/survey_responses/hazelcast-platform-review-5219399)

---


#### What Are G2 Users Discussing About Hazelcast Platform?

- [What is Redis vs Hazelcast?](https://www.g2.com/discussions/what-is-redis-vs-hazelcast)
- [What is Hazelcast enterprise?](https://www.g2.com/discussions/what-is-hazelcast-enterprise)
- [How does Hazelcast store data?](https://www.g2.com/discussions/how-does-hazelcast-store-data)
- [What is Hazelcast used for?](https://www.g2.com/discussions/what-is-hazelcast-used-for)


## What Is Real-time Analytic Database Software?

[Database Software](https://www.g2.com/categories/database-software)

## What Software Categories Are Similar to Real-time Analytic Database Software?

- [Time Series Databases](https://www.g2.com/categories/time-series-databases)
- [Columnar Databases](https://www.g2.com/categories/columnar-databases)
- [Vector Database Software](https://www.g2.com/categories/vector-database)