
Redis
Founded Year
2011Stage
Series G | AliveTotal Raised
$355MValuation
$0000Last Raised
$110M | 4 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-62 points in the past 30 days
About Redis
Redis is a real-time data platform that focuses on providing in-memory data structure storage and enterprise scaling solutions. The company offers products such as an in-memory database for caching and streaming, a fully managed cloud service integrated with major cloud providers, and self-managed software designed for enterprise needs. Redis primarily serves sectors that require high-performance data operations, such as financial services, gaming, healthcare, and retail. It was founded in 2011 and is based in San Francisco, California.
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ESPs containing Redis
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The NoSQL database market revolves around the development, provision, and adoption of non-relational database management systems. NoSQL databases are designed to handle large volumes of unstructured or semi-structured data, offering scalability, high performance, and flexibility compared to traditional relational databases. The market encompasses a variety of NoSQL database technologies, including…
Redis named as Outperformer among 15 other companies, including Microsoft Azure, Oracle, and Cloudera.
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Expert Collections containing Redis
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Redis is included in 3 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
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Conference Exhibitors
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Tech IPO Pipeline
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The tech companies we think could hit the public markets next, according to CB Insights data.
Redis Patents
Redis has filed 15 patents.
The 3 most popular patent topics include:
- database management systems
- data management
- databases

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
5/9/2023 | 7/23/2024 | Computer memory, Database management systems, Data management, SDRAM, Databases | Grant |
Application Date | 5/9/2023 |
---|---|
Grant Date | 7/23/2024 |
Title | |
Related Topics | Computer memory, Database management systems, Data management, SDRAM, Databases |
Status | Grant |
Latest Redis News
Jan 16, 2025
“Behind Zepto’s 10-minute delivery promise is a database built for speed.” Views : 26 × Zepto , the quick commerce giant, leverages MongoDB Atlas to overcome significant scalability challenges. “Behind Zepto’s 10-minute delivery promise is a database built for speed!” said Sachin Chawla , VP for India & South Asia at MongoDB, in a recent social media post. By shifting from a monolithic architecture with relational databases to MongoDB’s NoSQL platform, Zepto reduced latency for its critical APIs by 40%. This change also boosted its ability to handle six times more traffic, improving both operational efficiency and the overall customer experience. The Challenge: Scaling Quick Commerce Founded in 2021, Zepto revolutionised the Indian grocery delivery industry with its promise of 10-minute deliveries. However, as Zepto expanded—achieving $1.5 billion in annualised sales by mid-2024—its legacy infrastructure struggled to keep pace. Performance bottlenecks, high latency, and an inability to deliver real-time analytics hindered growth and operational efficiency. A few months ago, during a presentation at MongoDB.local, Mayank Agarwal , senior architect at Zepto, explained: “We had a big monolith, and all the components were powered by PostgreSQL and a few Redis clusters. As our business grew, we faced many performance issues and restrictions on the velocity at which we wanted to operate.” Zepto’s reliance on Redis clusters for caching also became a bottleneck as the business scaled. Kshitij Singh , technical lead at Zepto, noted, “We had a pretty huge Redis setup which we wanted to get rid of, as we were not able to scale it further. MongoDB’s in-memory caching solved this problem for us.” Why MongoDB Atlas? Zepto sought to break its monolithic architecture into microservices and migrate to a NoSQL database to address its issues. After evaluating multiple databases, MongoDB stood out due to its ability to handle nested document structures and array-based queries effectively. “The queries were very performant, given the required indexes we had created, and that gave us confidence,” said Agarwal. “The biggest motivating factor was when we saw that MongoDB provides in-memory caching, which could address the huge Redis cluster that we couldn’t scale further.” MongoDB’s Atlas platform also offered features such as real-time data archival and analytical nodes, enabling Zepto to separate customer-facing workloads from internal queries. Singh highlighted: “This ensured that customer performance wasn’t compromised.” Results: Faster, Scalable, and Reliable Zepto’s migration to MongoDB Atlas resulted in improved efficiency at an overall operational level. The company witnessed a huge reduction in latency, thereby significantly improving the response times of critical APIs and enhancing the customer experience. Additionally, the infrastructure scaled to handle 6x more traffic, ensuring no performance degradation. The migration to MongoDB also led to a 14% improvement in page load times, contributing to higher conversion rates and increased sales. MongoDB’s support for analytical nodes enabled Zepto to maintain consistent performance, ensuring effective real-time analytics across the platform. The shift also streamlined Zepto’s ETL pipelines and archival processes, reducing management overhead and enabling faster deployment of new features. “Post the migration, we observed a latency reduction of up to 40% for key APIs and handled throughput spikes, such as during campaigns, by enabling data compression and other optimisations. This has made our infrastructure more robust and scalable,” Singh said. Scaling New Heights with AWS Zepto’s success story is also powered by its strong partnership with AWS. “We started Zepto about three years ago with just one dark store in Mumbai. Today, we’ve grown to over 200 dark stores and annualised sales north of INR 10,000 crore,” said Kaivalya Vohra , co-founder of Zepto. “From day one, we were clear that AWS was the way to go.” AWS’ managed services and support allowed Zepto to launch new features rapidly while optimising costs. “AWS helped us achieve a quick MVP with credits from the AWS Activate program. As we scaled, the collaboration with AWS architects enabled us to come up with solutions no one had tried before,” noted Singh. Zepto leverages AWS across the entire customer journey, from enhancing product discovery to streamlining last-mile logistics. Generative AI solutions on AWS have also enabled faster resolution times and improved customer satisfaction. “AWS has been instrumental in helping us scale quickly while optimising costs. Its enterprise support and sponsorship for POCs have been invaluable,” Singh added. The Pricing Dilemma Zepto is currently under fire for differential pricing algorithms on Android and iPhones. Several customers have expressed their frustration on social media platforms, speculating the possible reasons behind the stark difference in prices.
Redis Frequently Asked Questions (FAQ)
When was Redis founded?
Redis was founded in 2011.
Where is Redis's headquarters?
Redis's headquarters is located at 303 2nd St, San Francisco.
What is Redis's latest funding round?
Redis's latest funding round is Series G.
How much did Redis raise?
Redis raised a total of $355M.
Who are the investors of Redis?
Investors of Redis include Technology Crossover Ventures, Tiger Global Management, Softbank Capital, SoftBank, Viola Ventures and 10 more.
Who are Redis's competitors?
Competitors of Redis include Aerospike, MarkLogic, SingleStore, DataStax, Imply and 7 more.
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Compare Redis to Competitors

SingleStore is a company that provides a data platform for applications across various sectors. The company offers a database solution that supports transactional and analytical workloads, allowing businesses to manage data for applications, analytics, and AI. SingleStore's platform supports streaming data ingestion, MySQL-compatible architecture, point-in-time recovery, and a distributed shared-nothing architecture. SingleStore was formerly known as MemSQL. It was founded in 2011 and is based in San Francisco, California.

Cloudera operates in the hybrid data management and analytics sector. Its offerings include a hybrid data platform that is intended to manage data in various environments, featuring secure data management and cloud-native data services. Cloudera's tools are used in sectors such as financial services, healthcare, and manufacturing, focusing on areas like data engineering, stream processing, data warehousing, operational databases, machine learning, and data visualization. It was founded in 2008 and is based in Santa Clara, California.

DataStax specializes in providing a comprehensive generative AI stack for the development and deployment of production-ready applications within the technology sector. The company offers a RAG API that supports both vector and structured data, ensuring secure, compliant, and scalable solutions that are integrated with leading AI ecosystem partners. DataStax primarily caters to developers and enterprises looking to leverage generative AI technologies across various cloud platforms. It was founded in 2010 and is based in Santa Clara, California.

CrateDB operates as an enterprise database optimized for time series, documents, and vector data workloads. The company offers a distributed structured query language (SQL) database that enables complex queries on various data types and integrates with artificial intelligence (AI) and machine learning (ML) frameworks. It primarily serves sectors that require real-time analytics and data management, such as AI/ML industries. The company was founded in 2013 and is based in Redwood City, California.

MariaDB is a cloud database company that specializes in open-source database products and services for various business sectors. The company offers enterprise and community versions of its database server, which support transactional, analytical, and mixed workloads for relational and JSON data models. Its services include technical support, database migration, remote database administration, consulting, and training. MariaDB was formerly known as SkySQI. It was founded in 2010 and is based in Milpitas, California.

RavenDB is a document database that integrates features of relational and NoSQL databases, operating as a distributed database for online transaction processing (OLTP) within the technology sector. The company offers services including support for ACID transactions, time-series data, and distributed counters, with capabilities such as replication, failover, and scalability. RavenDB is designed for developers, featuring SDKs, a SQL-like query language, and indexing to ensure data management and retrieval. It is based in Haifa, Israel.
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