# Best Real-time Analytic Database Software ## How Many Real-time Analytic Database Software Products Does G2 Track? **Total Products under this Category:** 29 ### Category Stats (Jul 2026) - **Average Rating:** 4.54/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** QStory (+1.85%) - Among all products in this category, QStory recorded the largest rating increase compared to last month _Last updated: July 28, 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 - 29+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## G2 Grid® for Real-time Analytic Database Software ![G2 Grid® for Real-time Analytic Database Software plotting products by satisfaction and market presence](https://www.g2.com/categories/real-time-analytic-database/grids.png?focus%5B%5D=16850&focus%5B%5D=6118&focus%5B%5D=6114&focus%5B%5D=1204266&focus%5B%5D=64262) Highlighted products: CrateDB, SingleStore, KX, StarTree, and Materialize. Underlying data: [Grid® JSON](https://www.g2.com/categories/real-time-analytic-database/grids.json?focus%5B%5D=cratedb&focus%5B%5D=singlestore&focus%5B%5D=kx-kx&focus%5B%5D=startree&focus%5B%5D=materialize) **Sponsored** ### RaimaDB RaimaDB: The High-Performance Embedded Database for Edge and IoT Systems RaimaDB is a high-performance, small-footprint database designed for edge computing, IoT, and embedded systems. Built on over three decades of database innovation, RaimaDB provides a powerful, reliable, and resource-efficient solution for developers building applications where data integrity, speed, and local storage are critical. Unlike large-scale enterprise databases, RaimaDB is purpose-built for environments with limited memory and processing power—such as industrial controllers, automotive systems, medical devices, and network appliances. Its lightweight architecture allows for fast transactions, deterministic performance, and minimal overhead, making it ideal for real-time applications. RaimaDB supports both SQL and C/C++ APIs, giving developers flexibility in how they access and manage data. It’s fully ACID-compliant, ensuring data reliability even in harsh or disconnected environments. With advanced features like in-memory performance, high availability, and flexible replication, RaimaDB enables secure local data processing while still integrating seamlessly with cloud or enterprise systems when connectivity is restored. The database can be deployed on a wide range of operating systems, including Linux, embedded Linux, Windows, QNX, and VxWorks, and can run on both ARM and x86 architectures. Its modular design allows for efficient scaling—from compact single-board computers to complex distributed networks. Trusted by global leaders in industries such as automotive, aerospace, energy, and telecommunications, RaimaDB powers mission-critical systems that demand reliability and speed. Developers choose RaimaDB for its ease of integration, low maintenance requirements, and proven performance under demanding conditions. Whether you’re building the next generation of connected devices or optimizing data handling at the edge, RaimaDB provides the robust foundation you need. Experience the efficiency of a database built for embedded and real-time systems—fast, reliable, and ready for the future of intelligent data management. [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=2026-07-28T10%3A25%3A55Z&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=6173&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&secure%5Btoken%5D=07833a9c5cdc3dc03d9d87339d0b999c6b275907f260936868fe539c6fac6a04&secure%5Burl%5D=https%3A%2F%2Fraima.com%2Fdownload-trial%2F%3Futm_content%3Dproducts-raimadb-reviews%26utm_medium%3Dreferral%26utm_source%3Dg2&secure%5Burl_type%5D=free_trial) [ CrateDB ](https://www.g2.com/products/cratedb/reviews) By [CrateDB](https://www.g2.com/sellers/cratedb) [ 4.4/5(85) ](https://www.g2.com/products/cratedb/reviews) What do users say? Users consistently praise CrateDB for its ease of use and scalability, making it a reliable choice for handling large datasets and real-time data processing. The integration of SQL with NoSQL capabili Pros and Cons [ Ease of Use (12) ](https://www.g2.com/products/cratedb/reviews?qs=pros-and-cons)[ Lack of Features (5) ](https://www.g2.com/products/cratedb/reviews?qs=pros-and-cons) [ SingleStore ](https://www.g2.com/products/singlestore/reviews) By [SingleStore](https://www.g2.com/sellers/singlestore) [ 4.5/5(118) ](https://www.g2.com/products/singlestore/reviews) What do users say? Users consistently praise the speed and performance of SingleStore, highlighting its ability to handle large datasets and execute queries rapidly. The platform is noted for its ease of use and intuiti [ KX ](https://www.g2.com/products/kx-kx/reviews) By [KX](https://www.g2.com/sellers/kx-a145756d-91d3-463e-a51d-9e13b1ac577c) [ 4.6/5(51) ](https://www.g2.com/products/kx-kx/reviews) What do users say? Users consistently praise the product for its exceptional speed and powerful query language, which allows for efficient handling of large datasets. Many appreciate how the concise syntax of the q lang Pros and Cons [ Speed (6) ](https://www.g2.com/products/kx-kx/reviews?qs=pros-and-cons)[ Learning Curve (7) ](https://www.g2.com/products/kx-kx/reviews?qs=pros-and-cons) [ StarTree ](https://www.g2.com/products/startree/reviews) By [StarTree](https://www.g2.com/sellers/startree) [ 4.5/5(29) ](https://www.g2.com/products/startree/reviews) What do users say? Users consistently praise the product for its real-time analytics capabilities and intuitive interface, which simplify data exploration and management. The platform's speed and scalability make it a r Pros and Cons [ Performance (4) ](https://www.g2.com/products/startree/reviews?qs=pros-and-cons)[ Learning Curve (3) ](https://www.g2.com/products/startree/reviews?qs=pros-and-cons) [ Materialize ](https://www.g2.com/products/materialize/reviews) By [Materialize](https://www.g2.com/sellers/materialize) [ 4.7/5(16) ](https://www.g2.com/products/materialize/reviews) What do users say? Users consistently praise the lightweight design and excellent documentation of this framework, which makes it easy to implement and use for creating responsive websites. The innovative components and [ ClickHouse ](https://www.g2.com/products/clickhouse/reviews) By [ClickHouse](https://www.g2.com/sellers/clickhouse) [ 4.5/5(23) ](https://www.g2.com/products/clickhouse/reviews) What do users say? Users consistently praise ClickHouse for its fast query performance and efficient data handling, making it ideal for large-scale analytics. The columnar storage design allows for quick retrieval of va Pros and Cons [ Analytics (1) ](https://www.g2.com/products/clickhouse/reviews?qs=pros-and-cons)[ Beginner Unfriendliness (1) ](https://www.g2.com/products/clickhouse/reviews?qs=pros-and-cons) [ Rayven ](https://www.g2.com/products/rayven/reviews) By [Rayven](https://www.g2.com/sellers/rayven) [ 4.9/5(29) ](https://www.g2.com/products/rayven/reviews) What do users say? Users consistently praise Rayven for its flexibility and real-time data integration, which allow for seamless automation and customized workflows tailored to specific operational needs. The platform's Pros and Cons [ Ease of Use (61) ](https://www.g2.com/products/rayven/reviews?qs=pros-and-cons)[ Learning Curve (32) ](https://www.g2.com/products/rayven/reviews?qs=pros-and-cons) [ DoubleCloud ](https://www.g2.com/products/doublecloud/reviews) By [DoubleCloud](https://www.g2.com/sellers/doublecloud) [ 4.9/5(4) ](https://www.g2.com/products/doublecloud/reviews) Product Description 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 infrastru [ CelerData Cloud ](https://www.g2.com/products/celerdata-cloud/reviews) By [CelerData](https://www.g2.com/sellers/celerdata) [ 4.8/5(3) ](https://www.g2.com/products/celerdata-cloud/reviews) Product Description 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 a Pros and Cons [ Customer Support (3) ](https://www.g2.com/products/celerdata-cloud/reviews?qs=pros-and-cons) [ InfluxDB ](https://www.g2.com/products/influxdata-influxdb/reviews) By [InfluxData](https://www.g2.com/sellers/influxdata-c4358581-7be9-4eec-a0bc-bd083f9c5468) [ 4.4/5(101) ](https://www.g2.com/products/influxdata-influxdb/reviews) What do users say? Users consistently praise the ease of use and performance of InfluxDB, highlighting its ability to handle large volumes of time series data efficiently. The intuitive setup and integration with tools [ Tiger Data ](https://www.g2.com/products/tiger-data/reviews) By [Tiger Data (creators of TimescaleDB)](https://www.g2.com/sellers/tiger-data-creators-of-timescaledb) [ 4.6/5(33) ](https://www.g2.com/products/tiger-data/reviews) What do users say? Users consistently praise the ease of use and performance of the product, highlighting its intuitive interface and fast data processing capabilities. Many appreciate how it integrates seamlessly with Pros and Cons [ Ease of Use (8) ](https://www.g2.com/products/tiger-data/reviews?qs=pros-and-cons)[ Expensive (4) ](https://www.g2.com/products/tiger-data/reviews?qs=pros-and-cons) [ Tinybird ](https://www.g2.com/products/tinybird/reviews) By [Tinybird](https://www.g2.com/sellers/tinybird) [ 4.1/5(14) ](https://www.g2.com/products/tinybird/reviews) What do users say? Users consistently praise Tinybird for its ease of use and ability to simplify data analytics, making it a strong choice for building real-time analytics products. The platform's quick querying and au Pros and Cons [ Ease of Use (6) ](https://www.g2.com/products/tinybird/reviews?qs=pros-and-cons)[ Poor Customer Support (3) ](https://www.g2.com/products/tinybird/reviews?qs=pros-and-cons) [ Apache Pinot ](https://www.g2.com/products/apache-pinot/reviews) By [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation) [ 4.8/5(2) ](https://www.g2.com/products/apache-pinot/reviews) Product Description Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency [ Imply ](https://www.g2.com/products/imply/reviews) By [Imply Data, Inc.](https://www.g2.com/sellers/imply-data-inc) [ 4.3/5(4) ](https://www.g2.com/products/imply/reviews) Product Description 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 datab Pros and Cons [ Availability (1) ](https://www.g2.com/products/imply/reviews?qs=pros-and-cons) [ Aerospike ](https://www.g2.com/products/aerospike/reviews) By [Aerospike](https://www.g2.com/sellers/aerospike) [ 4.4/5(83) ](https://www.g2.com/products/aerospike/reviews) What do users say? Users consistently praise the product for its high performance and ease of use, noting that it delivers sub-millisecond response times and is reliable in demanding environments. Many appreciate the mi - ‹ Prev‹ Prev - 1 - [2](/categories/real-time-analytic-database?order=g2_score&page=2#product-list) - [Next ›Next ›](/categories/real-time-analytic-database?order=g2_score&page=2#product-list) Spotlight Categories [Contract Management Software](https://www.g2.com/categories/contract-management) [Customer Data Platforms (CDP)](https://www.g2.com/categories/customer-data-platform-cdp) [Threat Intelligence Software](https://www.g2.com/categories/threat-intelligence) [Outbound Call Tracking Software](https://www.g2.com/categories/outbound-call-tracking) [Accounts Payable Automation Software](https://www.g2.com/categories/ap-automation) Similar Categories - [Relational Databases](/categories/relational-databases) - [NoSQL Databases](/categories/nosql-databases) - [Database Management Systems (DBMS)](/categories/database-management-systems-dbms) - [Big Data](/categories/big-data) - [Database as a Service (DBaaS)](/categories/database-as-a-service-dbaas) - [Database Comparison](/categories/database-comparison) - [Desktop Database](/categories/desktop-database) - [Structured Data Archiving and Application Retirement](/categories/structured-data-archiving-and-application-retirement) - [Time Series Databases](/categories/time-series-databases) - [Vector Database](/categories/vector-database) [Browse Real-time Analytic Database Themes](/categories/real-time-analytic-database/themes) ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi") SJ Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Updated December 15, 2024 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 Show More