Enterprise Tech / Cloud Computing

Best In-Memory Data Store Companies

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER

What is In-Memory Data Store?

The in-memory data store market is a solution for businesses looking to store and process large amounts of data more quickly and efficiently. In-memory data stores use random access memory (RAM) to store data, rather than traditional disk-based storage. This allows for faster data access and retrieval times, which can significantly improve the performance of applications and systems. In-memory data stores also provide real-time data processing capabilities, enabling businesses to analyze and respond to data insights more quickly. They also offer high availability and fault tolerance, ensuring that data is always accessible and protected against data loss.

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Top In-Memory Data Store Companies

SingleStore logo
SingleStore

United States / Founded Year: 2011

SingleStore provides real-time analytics and artificial intelligence (AI) solutions in the data management industry. The company offers a distributed SQL database that supports both transactional and analytical workloads, enabling data-intensive applications to operate with simplicity, speed, and scale. It primarily serves digital giants and leading SaaS providers. It was formerly known as MemSQL. It was founded in 2011 and is based in San Francisco, California.

Key People

Adam Prout, Nikita Shamgunov, Raj Verma, and 2 more

DataStax logo
DataStax

United States / Founded Year: 0000

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.

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Airtable logo
Airtable

United States / Founded Year: 0000

Airtable specializes in providing a no-code platform for app-building within various business sectors. Its main offerings include enabling teams to create custom business applications without the need for coding, automating workflows, and integrating artificial intelligence to enhance end-to-end processes. Airtable's platform is designed to connect data from various applications and tools, creating a centralized source of truth for organizations. It was founded in 2013 and is based in San Francisco, California.

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Key People

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VAST Data logo
VAST Data

United States / Founded Year: 0000

VAST Data specializes in data infrastructure for deep learning and artificial intelligence (AI) within the technology sector. The company offers a data platform that unifies storage, database, and compute capabilities to support AI and deep learning applications while simplifying data management and aiming to enhance productivity. VAST Data's solutions cater to organizations looking to leverage AI and analytics for data-driven insights. It was founded in 2016 and is based in New York, New York.

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Key People

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Databricks logo
Databricks

United States / Founded Year: 0000

Databricks is a data and AI company that specializes in unifying data, analytics, and artificial intelligence across various industries. The company offers a platform that facilitates data management, governance, real-time analytics, and the building and deployment of machine learning and AI applications. Databricks serves sectors such as financial services, healthcare, the public sector, retail, and manufacturing, among others. It was founded in 2013 and is based in San Francisco, California.

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Key People

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ThoughtSpot logo
ThoughtSpot

United States / Founded Year: 0000

ThoughtSpot is an AI-Powered Analytics company that specializes in data analytics and business intelligence. The company offers a platform that enables users to ask data-related questions in natural language and receive insights, facilitating decision-making across various organizational levels. ThoughtSpot's main offerings include live data querying, search-driven analytics, and the ability to visualize and operationalize data insights for businesses. ThoughtSpot was formerly known as Scaligent. It was founded in 2012 and is based in Mountain View, California.

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Key People

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Starburst logo
Starburst

United States / Founded Year: 0000

Starburst specializes in data lake analytics with a focus on AI data analytics platforms. The company offers a platform that integrates with open source Trino to enable data discovery, organization, and consumption without the need for extensive data migrations. Starburst's solutions are designed to provide access to complete data sets, reduce infrastructure costs, offer flexibility in tool usage, and prevent vendor lock-in, catering to data-driven companies seeking to make faster and better-informed decisions. Starburst was formerly known as Project Flex. It was founded in 2017 and is based in Boston, Massachusetts.

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Key People

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All Companies in In-Memory Data Store

Aiven logo
Aiven

Finland / Founded Year: 0000

Aiven is a trusted data and AI platform company that specializes in cloud data infrastructure management across various industries. The company offers a suite of services to stream, store, and serve data, utilizing open-source technologies and providing a unified experience across major cloud providers. Aiven's platform is designed to simplify the management of data infrastructure, enabling organizations to focus on innovation and value creation. It was founded in 2016 and is based in Helsinki, Finland.

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Key People

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Chronosphere logo
Chronosphere

United States / Founded Year: 0000

Chronosphere is a cloud native observability platform that specializes in helping DevOps teams manage the speed, scale, and complexity of their cloud native environments. The company offers solutions for incident resolution and cost control, with a focus on resolving infrastructure and application issues before they impact customer experiences. Chronosphere provides a suite of tools for telemetry data collection, transformation, and routing, as well as scalable data storage, all designed to offer real-time insights and enhance application performance while managing observability costs. It was founded in 2019 and is based in New York, New York.

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Cockroach Labs logo
Cockroach Labs

United States / Founded Year: 0000

Cockroach Labs focuses on the development of distributed structured query language (SQL) databases. It provides CockroachDB, offering features such as elastic scaling, cloud-native compatibility, built-in survivability, and consistent SQL, primarily serving industries such as finance, gaming, manufacturing and logistics, media and streaming, retail and e-commerce. It was founded in 2015 and is based in New York, New York.

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Dremio logo
Dremio

United States / Founded Year: 0000

Dremio focuses on providing data lakehouse solutions. The company offers services such as unified analytics, structured query language (SQL) query engine, and lakehouse management, which provide self-service access across all data, interactive analytics, and data cataloging with versioning respectively, primarily sells to sectors that require high-scale, high performance, and self-service for business such as marketing, trading, and supply chain. It was founded in 2015 and is based in Santa Clara, California.

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Graphcore logo
Graphcore

United Kingdom / Founded Year: 0000

Graphcore specializes in processor technology for artificial intelligence, operating within the artificial intelligence (AI) and machine learning industry. The company offers Intelligence Processing Units (IPUs) designed to accelerate machine learning tasks and enable new types of AI research. Graphcore's products are utilized across various sectors, including finance, healthcare, scientific research, and AI-native startups. It was founded in 2016 and is based in Bristol, United Kingdom. In July 2024, Graphcore was acquired by SoftBank.

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Redis logo
Redis

United States / Founded Year: 0000

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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Key People

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Timescale logo
Timescale

United States / Founded Year: 0000

Timescale focuses on database technology, specifically in the domain of time-series data. The company offers a product built on Postgre structured query language that is engineered to handle demanding workloads such as time series, vectors, events, and analytics data. The product provides features like automatic partitioning, columnar compression, and real-time aggregation, enabling users to store and query data quickly and efficiently. It was founded in 2015 and is based in New York, New York.

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YugaByte logo
YugaByte

United States / Founded Year: 0000

YugaByte specializes in providing a high-performance, distributed SQL database designed for cloud native applications within the database technology sector. Their main offering, YugabyteDB, is a PostgreSQL-compatible database that supports scalable, resilient, and globally distributed architectures for mission-critical applications. YugabyteDB is available as open source software and as a managed service with various deployment options for different use cases and industries, including financial services, retail, e-commerce, and telecommunications. It was founded in 2016 and is based in Sunnyvale, California.

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Our Methodology

The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.

What is In-Memory Data Store?

The in-memory data store market is a solution for businesses looking to store and process large amounts of data more quickly and efficiently. In-memory data stores use random access memory (RAM) to store data, rather than traditional disk-based storage. This allows for faster data access and retrieval times, which can significantly improve the performance of applications and systems. In-memory data stores also provide real-time data processing capabilities, enabling businesses to analyze and respond to data insights more quickly. They also offer high availability and fault tolerance, ensuring that data is always accessible and protected against data loss.

Expert Collections

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Market Map

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Do you compete within In-Memory Data Store?

Reach more buyers.

Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.