# 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





## Category Overview

**Total Products under this Category:** 28


## Trust & Credibility Stats

**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.


## Best Real-time Analytic Database Software At A Glance

- **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%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%3Fpage%3D2&secure%5Btoken%5D=d03bc170789c7eba36c6f6ebcbd33250c0b385a5983ac60483f5000bb385fd74&secure%5Burl%5D=https%3A%2F%2Fquestdb.com&secure%5Burl_type%5D=company_website)

---

## Top-Rated Products (Ranked by G2 Score)
### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [CrateDB](https://www.g2.com/sellers/cratedb)
- **Company Website:** https://cratedb.com/
- **Year Founded:** 2013
- **HQ Location:** Redwood City, CA
- **Twitter:** @cratedb (4,179 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/crateio/ (44 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 54% Small-Business, 31% Mid-Market


#### Pros & 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)

### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [SingleStore](https://www.g2.com/sellers/singlestore)
- **Year Founded:** 2011
- **HQ Location:** San Francisco, CA
- **Twitter:** @SingleStoreDB (15,470 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/singlestore/ (546 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Software Developer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 39% Enterprise, 37% Small-Business


### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **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 (527 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Financial Services, Banking
  - **Company Size:** 57% Enterprise, 25% Small-Business


#### Pros & 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)

### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [StarTree](https://www.g2.com/sellers/startree)
- **Company Website:** https://www.startree.ai/
- **Year Founded:** 2019
- **HQ Location:** Mountain View, California
- **Twitter:** @startreedata (2,267 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/startreedata/ (123 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Financial Services
  - **Company Size:** 38% Small-Business, 31% Enterprise


#### Pros & Cons

**Pros:**

- Analytics (4 reviews)
- Fast Querying (4 reviews)
- Large Datasets (4 reviews)
- Performance (4 reviews)
- Big Data Handling (3 reviews)

**Cons:**

- Learning Curve (4 reviews)
- Complex Setup (3 reviews)
- Difficult Setup (3 reviews)
- Insufficient Documentation (3 reviews)
- Poor Documentation (3 reviews)

### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **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®)

**Reviewer Demographics:**
  - **Company Size:** 56% Small-Business, 44% Mid-Market


### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [ClickHouse](https://www.g2.com/sellers/clickhouse)
- **Year Founded:** 2021
- **HQ Location:** Palo Alto, US
- **Twitter:** @ClickhouseDB (16,661 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/clickhouseinc/ (447 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 52% Small-Business, 39% Mid-Market


#### Pros & Cons

**Pros:**

- Easy Integrations (2 reviews)
- Integrations (2 reviews)
- Query Efficiency (2 reviews)
- Query Speed (2 reviews)
- Speed (2 reviews)

**Cons:**

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

### 7. [Rayven](https://www.g2.com/products/rayven/reviews)
  Rayven designs and delivers the operational systems industrial and asset-intensive businesses rely on day-to-day. We take messy, siloed operational data from systems, OT, IoT, files, and spreadsheets and turn it into automation and made-to-fit operational applications - all running in one place. Rayven connects what you already have without rip-and-replace, so teams always work with current, usable information across sites, assets, and processes. On top of this foundation, we deliver real-time visibility, automated workflows, and complete operational solutions that actually work in industrial environments. Everything is delivered end-to-end, including the underlying technology. We work directly with customers and via partners through white-label and co-branded solutions. Based in ANZ, working globally.


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 29

**User Satisfaction Scores:**

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


**Seller Details:**

- **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/ (29 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Retail
  - **Company Size:** 67% Mid-Market, 50% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (59 reviews)
- Features (48 reviews)
- Automation (43 reviews)
- Customization (41 reviews)
- Intuitive (36 reviews)

**Cons:**

- Learning Curve (31 reviews)
- Difficult Learning (29 reviews)
- Learning Difficulty (24 reviews)
- Complex Setup (21 reviews)
- Setup Complexity (19 reviews)

### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **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®)

**Reviewer Demographics:**
  - **Company Size:** 75% Small-Business, 25% Mid-Market


### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **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®)

**Reviewer Demographics:**
  - **Company Size:** 67% Small-Business, 33% Enterprise


#### Pros & Cons

**Pros:**

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


### 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:** 97

**User Satisfaction Scores:**

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


**Seller Details:**

- **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®)

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


### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **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 (1,311 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/timescaledb/ (43 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Financial Services
  - **Company Size:** 79% Small-Business, 18% Mid-Market


#### Pros & 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)

### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **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 (52 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software
  - **Company Size:** 50% Mid-Market, 36% Small-Business


#### Pros & 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)

### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF (66,154 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,408 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Mid-Market, 50% Small-Business


### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Imply Data, Inc.](https://www.g2.com/sellers/imply-data-inc)
- **HQ Location:** San Francisco, US
- **Twitter:** @implydata (1,997 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/imply (174 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Enterprise, 25% Mid-Market


#### Pros & Cons

**Pros:**

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


### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Aerospike](https://www.g2.com/sellers/aerospike)
- **Year Founded:** 2009
- **HQ Location:** Mountain View, CA
- **Twitter:** @aerospikedb (7,836 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2696852/ (306 employees on LinkedIn®)

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


### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **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/ (77 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software
  - **Company Size:** 52% Enterprise, 29% Mid-Market


### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **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®)

**Reviewer Demographics:**
  - **Company Size:** 100% Small-Business


### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Kinetica](https://www.g2.com/sellers/kinetica)
- **Year Founded:** 2016
- **HQ Location:** Arlington, Virginia, United States
- **Twitter:** @KineticaHQ (3,470 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/kinetica/ (71 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Mid-Market


### 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **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®)

**Reviewer Demographics:**
  - **Company Size:** 100% Mid-Market


### 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.




**Seller Details:**

- **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.




**Seller Details:**

- **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.




**Seller Details:**

- **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.




**Seller Details:**

- **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.




**Seller Details:**

- **Seller:** [Hazelcast](https://www.g2.com/sellers/hazelcast-9a5fe385-0ae1-4f16-99b0-f9f0ee1a4194)
- **Year Founded:** 2010
- **HQ Location:** Palo Alto, US
- **Twitter:** @hazelcast (9,381 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/hazelcast/ (152 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

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Hazelcast](https://www.g2.com/sellers/hazelcast-9a5fe385-0ae1-4f16-99b0-f9f0ee1a4194)
- **Year Founded:** 2010
- **HQ Location:** Palo Alto, US
- **Twitter:** @hazelcast (9,381 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/hazelcast/ (152 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 54% Small-Business, 23% Enterprise


#### Pros & 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)



## Parent Category

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



## Related Categories

- [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)