Imply

The company takes a security-first approach to building a real-time database for modern analytics applications.

The page says no single database is suited to every task and that real-time analytics requires a database built for it.

The page says Google BigQuery can be cost-effective for lightly used business intelligence applications, while modern analytics applications need concurrency, sub-second interactivity, and real-time data. It recommends Apache Druid for these needs.

The page says PostgreSQL is often considered for analytics because it is used for transactional workloads, but recommends Apache Druid for applications requiring interactivity, concurrency, and real-time data.

Amazon Redshift, like other cloud data warehouses, can be a cost-effective solution for lightly-used BI applications. Modern analytics applications, however, need the high concurrency, sub-second interactivity, and real-time data that is beyond the reach of Redshift. For this, consider Apache Druid.

The comparison outlines six scalability, management, and performance challenges ClickHouse faces and explains how Druid differs.

Imply has operations in North America, Europe, and Asia Pacific and is backed by Andreessen Horowitz (a16z), Bessemer Venture Partners, Thoma Bravo, Tiger Global Management, Khosla Ventures, and Geodesic Capital.

Lumi Loglake is generally available in Imply Lumi, which is described as a federated provider for SIEMs that searches logs where they reside.

Imply Privacy Policy CPRA Candidate Policy California State Residents Rights

GitHubRepository owner