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Aerospike

Company Overview

Aerospike is a real-time database company founded in 2009 and headquartered in Mountain View, California. The company develops and provides a distributed NoSQL database designed for high-performance, low-latency applications that require real-time data processing at scale. Aerospike has additional offices in London, Bangalore, and Tel Aviv.

Products Overview

Aerospike’s main product is the Aerospike Database, a distributed NoSQL database with the following key features:

  • Sub-millisecond latency for reads and writes
  • Ability to scale from gigabytes to petabytes of data
  • Hybrid Memory Architecture that optimizes use of DRAM, SSD and other storage media
  • Strong consistency and high availability (99.999% uptime)
  • Cross-datacenter replication for global distribution
  • Support for multiple data models including key-value, document, and graph data
  • Compression and other features to reduce infrastructure costs

The database can be deployed on-premises, in public/private clouds, or as a fully-managed service called Aerospike Cloud. In 2024, the company also introduced Aerospike Vector Search capabilities to support AI/ML workloads.

Problem and Market Fit

Aerospike addresses the need for extremely fast, scalable databases that can handle massive amounts of data and transactions in real-time. This is particularly important for use cases like:

  • Ad tech and real-time bidding
  • Fraud detection and prevention
  • Internet of Things data processing
  • Real-time analytics
  • Caching at scale
  • Customer data platforms

The company positions itself as an alternative to traditional relational databases and other NoSQL databases that struggle to maintain performance at very large scale. Aerospike claims to offer better performance and lower total cost of ownership compared to alternatives like Redis, Apache Cassandra, and MongoDB for certain high-scale, low-latency use cases.

Business Model

Aerospike operates on an open core business model. The core Aerospike database is available as open source software, while the company generates revenue through:

  1. Enterprise software licenses for additional features and support
  2. Managed cloud service (Aerospike Cloud)
  3. Professional services and training

Competitive Landscape

Aerospike competes in the NoSQL and NewSQL database market. Some key competitors include:

  • Redis
  • Apache Cassandra / DataStax
  • MongoDB
  • ScyllaDB
  • Amazon DynamoDB
  • Google Cloud Bigtable

Aerospike differentiates itself through its focus on extreme performance at scale and its hybrid memory architecture that optimizes use of DRAM and flash storage.

Customers

Aerospike serves a variety of enterprise customers across industries. Some notable customers mentioned in the provided materials include:

  • Adobe
  • Airtel
  • Criteo
  • DBS Bank
  • Experian
  • PayPal
  • Snap Inc. (Snapchat)
  • Sony Interactive Entertainment
  • Yahoo (Verizon Media)

Funding and Runway

While specific funding details are not provided in the given materials, Aerospike is a venture-backed company. As of 2024, the company appears to be in a growth phase, continuing to expand its product offerings and customer base. However, without more recent financial information, it’s difficult to assess their current runway or funding status.

Relevant News

  • May 2024: Aerospike released version 7.1 of its database, introducing new features for caching and storage performance improvements.
  • April 2024: Aerospike Database 7 was named “In-Memory Database of the Year” by Data Breakthrough Awards.
  • April 2024: The company introduced Aerospike Vector Search capabilities to support AI and machine learning workloads.
  • Aerospike was named to the Inc. 5000 list of fastest-growing private companies in America (year not specified in provided materials).
  • Aerospike was a winner of Deloitte’s 2020 Technology Fast 500 Award.

This analysis provides an overview of Aerospike’s business and market position based on the information available in the provided materials. For a more comprehensive investment analysis, additional financial data and more recent company performance metrics would be necessary.

Classification: AI Tier 3

  1. Core AI: Create fundamental AI technologies/base models
  2. AI-Enabled: Core offerings rely on recent AI advances
  3. AI Adopters: Use AI to enhance existing products/services
  4. Non-AI: No AI in products/services

The core product is a high-performance NoSQL database, with recent AI/ML support features enhancing its capabilities.