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Founded Year

2010

Stage

Secondary Market | Alive

Total Raised

$342.27M

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

-14 points in the past 30 days

About DataStax

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.

Headquarters Location

2755 Augustine Drive 8th Floor

Santa Clara, California, 95054,

United States

650-389-6000

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ESPs containing DataStax

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

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Data Management

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…

DataStax named as Leader among 15 other companies, including Microsoft Azure, Oracle, and Cloudera.

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Expert Collections containing DataStax

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

DataStax is included in 2 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,249 items

T

Tech IPO Pipeline

543 items

DataStax Patents

DataStax has filed 20 patents.

The 3 most popular patent topics include:

  • database management systems
  • data management
  • databases
patents chart

Application Date

Grant Date

Title

Related Topics

Status

10/14/2022

8/13/2024

Cloud computing, Configuration management, Rotating disc computer storage media, Cloud platforms, Cloud storage

Grant

Application Date

10/14/2022

Grant Date

8/13/2024

Title

Related Topics

Cloud computing, Configuration management, Rotating disc computer storage media, Cloud platforms, Cloud storage

Status

Grant

Latest DataStax News

Storage news ticker – 17 October 2024

Oct 17, 2024

Governance and data quality consultant Agile Lab ran a data management survey at Big Data London in September 2024. It revealed the majority of UK organizations are being held back by their data management tools. Findings include: Despite 85 percent highlighting a data management strategy as important to their business, only 22 percent believe their organization can leverage data insights effectively. Almost 60 percent think the biggest impediment to data management is poor quality data. Many believed that data management challenges were having a negative effect on the quality of decision-making, making it slow (72.8 percent) and less strategic (53.6 percent). Organisations are using a variety of data management tools, with the most popular being data quality tools (59.9 percent), governance (58.8 percent), and integration (52.2 percent). … New Crucial CUDIMM and CSODIMM Micron’s Crucial business unit launched its DDR5 CUDIMM DRAM and CSODIMM DRAM memory for desktops and laptops, respectively. While DDR5 offers fast speeds,  scaling challenges have made it difficult to deliver DDR performance increases while ensuring reliable high speeds, especially when combining high bandwidth with large capacity. Representing an evolution of traditional UDIMMs, the new category of CUDIMMs  and CSODIMMs feature a clock driver directly on the memory module to ensure fast, stable speeds. While most systems today rely on the clock from the CPU, Micron has directly integrated the clock driver into the memory module to  conquer electrical challenges at the root and ensure enhanced signal integrity at 6400 MT/s, making memory faster and more stable. … Databricks has launched Databricks Apps to build data and AI applications faster and securely. It will be available in Public Preview on AWS and Azure. Use cases include data visualisation, AI applications, self-service analytics, and data quality monitoring. It incorporates AI components, enabling developers to call specific AI models when they need more flexibility, and has built-in governance with Unity Catalog, and secure user authentication through OIDC/OAuth 2.0 and SSO. … DataStax announced its AI Platform, built with NVIDIA AI that reduces AI development time by 60 percent through integrating DataStax’ AI platform with NVIDIA AI Enterprise, giving enterprises an offering for all parts of the AI development and production lifecycle – from data ingestion and retrieval to application development to deployment and ongoing AI training. Key components: DataStax Langflow platform, including  an application development environment that eases application development through a visual interface that simplifies creating and understanding complex logic flows. NeMo Retriever: Enable organizations to seamlessly connect custom models  to diverse business data and deliver highly accurate responses. This is crucial for companies’ AI applications to have the context of their enterprise systems and data in order to provide the most relevant results. Multimodal PDF Data Extraction: A blueprint that enables ingestion of unstructured and complex enterprise data sources such as PDFs to be ready for use for AI applications  using retrieval-augmented generation (RAG). NeMo Curator: Data-curation tool that helps developers create large, high-quality  datasets for pretraining or fine-tuning LLMs or embedding models. NeMo Customizer: Scalable microservice that simplifies fine tuning and alignment of LLMs for domain-specific use cases- reduces companies dependencies on off-the-shelf broad LLMs. NeMo Evaluator: Automates evaluation of customer generative AI models and  LLMs for accuracy. NeMo Guardrails: Add programmable guardrails to LLM-based conversational applications. NIM Agent Blueprints: A catalog of pretrained, customizable AI workflows that equip developers with a full suite of  software for building and deploying generative AI applications for canonical use cases, such as customer service avatars, retrieval-augmented generation, and drug discovery virtual screening. DataStax Data Management: DataStax delivers vector search, flexible hybrid search, knowledge graph and Graph RAG, real-time AI analytics, streaming, pub/sub, and a linearly scalable NoSQL store. Available as cloud-native (DataStax Astra), or self-managed (DataStax Hyper-Converged Database/HCD). … A Hammerspace “ State of the Next Data Cycle: How do you GPU? ” report looked into the current landscape of enterprise AI and GPU utilization, based on an analysis of nearly 17,000 digital conversations among approximately 200 industry leaders and executives across platforms including LinkedIn, Twitter, Reddit, GitHub and Discord. It found: Public conversations about AI have surged 383 percent since 2022 60 percent of those analyzed focused on thought leadership, while only 33 percent focused on innovation 59 percent of innovation-related discussions focus on enhancing productivity Only 18 percent of innovation conversations are dedicated to achieving better AI outcomes Ethics accounts for one-third of AI discussions, with 51 percent of the ethics conversations concerning policy and best practices Despite significant investments in AI infrastructure, including enormous investments in powerful GPU chips, companies have struggled to put them to use on AI workloads and used them on other better-understood use cases. The purchased GPUs initially intended for AI projects are also being used for a wide variety of applications, including expediting existing big data and analytics projects. Use-cases span industries including big tech, scientific research, and media and entertainment. Download the full report here . … SaaS data protector HYCU is partnering managed tech services company Blue Mantis (cloud migration, cloud cost optimization (FinOps), and security operations). The two will help Blue Mantis clients using AWS, Azure and Google Cloud, and an array of SaaS  platforms, to instantly identify and backup their cloud and SaaS applications, determine vulnerabilities and remediate compliance gaps. In Q4 Blue Mantis will offer a free version of HYCU R-Graph, a SaaS visualization offering for data protection that helps visualize a company’s entire data estate, including on-premises, cloud, and SaaS applications and data. Blue Mantis plans to bring a HYCU Managed Backup Services Offering to market in 2025. … Jackrabbit Labs announced it will launch CXL (Compute Express Link) support with Kubernetes. CRO Rick Vasquez blog there is now a way to use CXL with Kubernetes with no code changes and no special flavors of the linux kernel or the Kubernetes distribution you use. Jackrabbit Labs will introduce the most advanced way to schedule pods that allows systems to leverage memory from a far memory pool dynamically to provision pods and even clean up after when those pods are shut down or re-scheduled. Pods can be scheduled on worker nodes that have exhausted memory without having to reschedule pods to free up local memory on any number of worker nodes in a Kubernetes cluster. See its demo in the CMS section of the OCP Innovation Village. … Mirantis says it will be the first to deliver fully supported OpenStack “Caracal“ (2024.1), a major release with several enhancements particularly benefiting AI, high-performance computing (HPC), and users looking for alternatives to VMware. It introduces the Skip Level Upgrade Release Process (SLURP), which allows users to skip interim versions when upgrading—streamlining transitions from earlier releases like Antelope. Management features in Mirantis OpenStack for Kubernetes (MOSK) eliminate the need for separate configuration tools like Ansible or Salt, and enabling automated, centralized GitOps-style infrastructure management. The vendor claims that when applied in a cloud of several hundred hypervisors, the new system can save operations teams weeks of work. … Cloud file services supplier Nasuni has achieved AWS manufacturing and industrial competency. It says achieving this differentiates Nasuni as an AWS Partner Network (APN) member that provides specialised unstructured data management and hybrid cloud services designed to help enterprises adopt, develop, and deploy complex projects on AWS. Nasuni currently works with large global manufacturers such as Movado, AIXTRON, Western Digital,  and Jakob Mueller. … Rambus announced the first complete memory interface chipsets for Gen5 DDR5 RDIMMs and next-generation DDR5 Multiplexed Rank Dual Inline Memory Modules (MRDIMMs). These will extend DDR5 performance with “unparalleled bandwidth and memory capacity for compute-intensive data center and AI workloads”. The new chips include a Gen5 Registering Clock Driver (RCD), enabling RDIMMs operating at 8000 MT/s. There is a Multiplexed Registering Clock Driver (MRCD) and Multiplexed Data Buffer (MDB), enabling upcoming MRDIMMs running at speeds up to 12,800 MT/s by doubling the bandwidth of the DIMM beyond the native DRAM device speed. Plus a second-generation server Power Management IC (PMIC5030) designed for both DDR5 RDIMM 8000 and MRDIMM 12800, providing ultra-high current at low voltage to support higher speeds and more DRAM and logic chips per module. … Mainframe software modernizer Rocket Software announced GenAI functionality with new and enhanced products in its Hybrid Cloud solution suite: Rocket Content Smart Chat: a conversational AI interface for sensitive document access and querying. Rocket Enterprise Suite: AI natural language assistant to facilitate code analysis and accelerate mainframe application modernization and cloud transitions. Rocket Visual COBOL: AI natural language assistant to simplify COBOL code understanding, modernize applications, and ensure seamless integration with hybrid cloud environments. … Samsung  Electronics has developed the industry’s first 24-gigabit (Gb) graphics double data rate (GDDR7) DRAM for data centers and AI workstations,  extending beyond trad applications of graphics DRAM in gaming consoles and autonomous driving. The 24Gb GDDR7 DRAM has performance of up to 42.5 40Gbps, a 25 percent improvement from its previous version, and reduced power consumption, leading to a 30 percent improvement in power efficiency. It uses 5th-generation 10-nanometer-class DRAM, enabling increased cell density by 50 percent while maintaining same package size as its predecessor. Validation in next-gen AI computing systems from major GPU customers will begin this year. … StreamNative , a cloud-native data streaming company founded by the original creators of Apache Pulsar, announced a managed Apache Flink BYOC product offering will be available to StreamNative customers in private preview. The offering is powered by Ververica , the original creators of Apache Flink . Businesses around the world have used Pulsar or Kafka with Flink, and this new managed service provides more simplicity when deploying real-time applications in the cloud. … Enterprise data management supplier Syniti reported its highest Q3 revenue in its history, along with record services revenue and cloud annual recurring revenue (ARR). Revenue growth was driven by software renewals with clients in aerospace and defence, manufacturing, life sciences and oil & gas; also new clients  kicking off business transformation projects and current clients extending data projects. Syniti added 13 significant new logos, including two Global 2000 organisations and market leaders in food & beverage, consumer products and manufacturing;  the company has added 35 major new clients to its customer roster in 2024. … Data warehouser Teradata is integrating Nvidia NeMo and NIM microservices into its Vantage product to support the development of foundation and customized large language models (LLMs), agentic workflows and retrieval-augmented generation (RAG) applications. Customers can also deploy their own custom models through Nvidia AI Enterprise, an end-to-end software platform that offers enterprise-grade security, support and stability, to drive ROI from generative AI use cases. In addition to multiple Nvidia software integrations, Teradata’s platform will offer Nvidia accelerated computing infrastructure. … Teradata announced new capabilities for VantageCloud Lake, a cloud-native data analytics and management offering and ClearScape Analytics, a suite of analytics tools integrated within Teradata Vantage. This makes it possible for businesses to implement and see immediate ROI from Gen AI use cases. Through adding  bring-your-own LLM (BYO-LLM), businesses can take advantage of small or mid-sized open LLMs, and bring the LLMs to the data. This minimises data movement and maximises security, privacy and trust. … A Wharton and GBK Collective study on Gen AI called Growing Up: Navigating Gen AI’s Early Years, based on a survey with 600 senior leaders from top U.S. enterprises, each with sales over $50 million). It shows just how rapidly Gen AI adoption and use cases are accelerating. Key Findings: 90 percent of leaders agree AI enhances employee skills, while concerns about job replacement have eased, dropping from 75 percent to 72 percent. Nearly three in four leaders (72 percent) report using Gen AI weekly, up from 37 percent in 2023. Gen AI adoption in Marketing and Sales tripled. Usage in Operations, HR, and Procurement doubled. AI spending has increased by 130 percent, with 3 in 4 planning further investment in 2025. TAGS

DataStax Frequently Asked Questions (FAQ)

  • When was DataStax founded?

    DataStax was founded in 2010.

  • Where is DataStax's headquarters?

    DataStax's headquarters is located at 2755 Augustine Drive, Santa Clara.

  • What is DataStax's latest funding round?

    DataStax's latest funding round is Secondary Market.

  • How much did DataStax raise?

    DataStax raised a total of $342.27M.

  • Who are the investors of DataStax?

    Investors of DataStax include CrossWork, Crosslink Capital, Meritech Capital Partners, EDBI, Goldman Sachs Asset Management and 22 more.

  • Who are DataStax's competitors?

    Competitors of DataStax include CrateDB, Aerospike, VectorShift, VAST Data, ScyllaDB and 7 more.

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Compare DataStax to Competitors

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Redis

Redis is a real-time data platform focused 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 Mountain View, California.

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Cockroach Labs

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.

Aerospike Logo
Aerospike

Aerospike specializes in data management solutions within the NoSQL database sector. The company offers a distributed NoSQL database designed for high-speed reads and writes, capable of scaling from gigabytes to petabytes without performance trade-offs. Aerospike's database supports applications requiring consistent, sub-millisecond latency at a massive scale. Aerospike was formerly known as Citrusleaf. It was founded in 2009 and is based in Mountain View, California.

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ScyllaDB

ScyllaDB provides database solutions for data-intensive applications. The company offers a database that is designed to scale as data grows, providing solutions for businesses with demanding database challenges. It primarily serves a wide range of sectors, including entertainment, travel, cybersecurity, and real estate. It was formerly known as Cloudius Systems. It was founded in 2013 and is based in Sunnyvale, California.

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Riak

Riak is a company that specializes in NoSQL database solutions, operating within the technology and data management industry. The company offers a distributed NoSQL database that is designed to handle large amounts of unstructured data, with features such as high resiliency, data accuracy, and scalability on commodity hardware. Riak primarily serves the technology sector, with a focus on web and IoT applications that require highly distributed systems. It was founded in 2008 and is based in Bellevue, Washington.

CrateDB Logo
CrateDB

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.

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