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Use cases

Operational Analytics & Search

CrateDB lets organizations run analytics, search, and multi-model queries together in real time, delivering faster insights, simplified architecture, and lower costs than using multiple specialized systems.

Modern organizations generate massive volumes of logs, events, customer interactions, and operational signals. Teams need to search and analyze this data in real time, often under pressure, while systems are live.

Interactive Data Exploration

CrateDB enables ad-hoc exploration of large datasets using SQL. Teams can slice, filter, and aggregate data interactively to answer evolving operational questions.
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Search with Analytical Depth

Search-style queries combine with analytical aggregations, allowing users to quickly narrow down data and understand patterns across high-cardinality dimensions.

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Semi-Structured Data Without Friction

CrateDB handles JSON and semi-structured data natively, removing the need for rigid schemas or complex data transformations before analysis.
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Root-Cause and Troubleshooting Workflows

By correlating signals across time, attributes, and entities, teams can investigate issues efficiently and uncover underlying causes without switching systems.
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Why Traditional Systems Fall Short

Traditional architectures force compromises.

  • Search engines like Elasticsearch are excellent at full-text queries, but become limiting when teams need complex aggregations, joins, or multi-dimensional analytics.

  • OLAP and time-series databases handle aggregations well, but lack native support for full-text, geospatial, or vector search.

  • Multiple specialized systems introduce duplicated data pipelines, higher operational overhead, and fragmented workflows.

The result is slower root-cause analysis, higher infrastructure costs, and insights that arrive too late to act on.

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Learn more about CrateDB
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The Real-Time Imperative: Enabling Instant Insights, Automation, and AI

Speed wins in today’s digital economy. A recent MIT CISR study shows companies with real-time capabilities see 62% higher revenue growth and 97% higher profit margins. The message is clear: if you're not acting in real time, you're falling behind. Stop Waiting, Start Leading: Discover the Real-Time Imperative. 

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Turbocharge your aggregations, search and AI models and get real-time insights
Turbocharge your aggregations, search and AI models and get real-time insights

Watch this webinar recording and learn how CrateDB empowers you with real-time insights into your data to fuel advanced analytics, search, and AI models—enabling informed decisions that drive meaningful impact. 

User stories

Bitmovin is a leading video streaming company. They use CrateDB to store 140 terabytes of storage, both user events and user interactions. Every day, there is one billion of new lines of data, with the largest tables containing around 60 billion playback events.

"It is through the use of CrateDB that we are able to offer our large-scale video analytics component in the first place. Comparable products are either not capable of handling the large flood of data or they are simply too expensive."

 

Daniel Hölbling-Inzko
Senior Director of Engineering - Analytics
Bitmovin

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Bitmovin
Thomas Concrete Group is the world- leader organization in the construction industry with 150+ concrete plants and 2,100+ employees. They use CrateDB both for tracking of their delivery trucks and tracking the curing of the concrete in real-time.

"Thanks to CrateDB's great indexing, dedicated data types, and subsequent great performance, we could execute an event and data-driven architecture, with the performance and scalability necessary for storing time-series data over time. The SQL query syntax capability of CrateDB also played a part in achieving this great outcome, as it made it easy for the team to write good performing queries using existing know-how. CrateDB is now an integral part of our big data streaming architecture and it is delivering as promised."

Kristoffer Axelsson
Principal Solution Architect
Thomas Concrete Group

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Thomas
DriveNow helps travelers find and easily compare the best online rates for car and campervan rentals in real time. They use CrateDB to store clickstream data, comprising logs of pages users visit, links they click, search filters they select and site-generated emails they interact with. Real-time queries are made to analyze how promotional campaigns, user interface design changes and A/B tests affect the user experience.
"CrateDB is ideal because it's capable of writing data at a high rate, and delivering fast queries to our business team at the same time. We couldn't have done that using a traditional SQL database without a lot of difficulty."
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Drivenow
The GolfNow division of the NBC Universal GolfChannel is trusted by 4 million registered golfers to search for golf courses that fit preference and budget. They use CrateDB to currently perform real-time queries of more than 300 million rows of data, hundreds of times per second.

"CrateDB was a better solution for our needs than any other SQL or NoSQL database we tried. It was easy to migrate code off of our legacy SQL database and onto CrateDB to immediately benefit from its data flexibility and scalable performance."

Sheriff Mohamed
Director of Architecture
GolfNow

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golfnow
Digital domain is a global leader in visual effects, interactive content and creating “virtual humans” for use in films and live events. Rather than use a commercial monitoring system, they chose to build their own performance monitoring solution. They use CrateDB to process a lot of system metrics data (time series) in real time and to support streaming log analytics, which required search capability.

"I'm glad it's SQL behind those charts. If I had to use Elasticsearch to answer new questions, we wouldn't be nearly as responsive to new requirements."

 

Joe Hacobian
Infrastructure Engineer
Digital Domain

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Digital-domain

Additional resources

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FAQ

A real-time analytics database is a database system designed to process and analyze data as it is generated, providing insights and results in real-time. CrateDB excels in ingesting, indexing, storing, and querying large amounts of data within milliseconds, enabling organizations to make data-driven decisions and respond to dynamic trends quickly.

Real-time data refers to information that is gathered and processed immediately upon being generated. Examples include data from social media feeds, live customer interactions, and IoT devices. CrateDB's flexible data modeling allows for the collection and storage of a wide range of data types from diverse sources, such as enterprise applications, analytics platforms, and sensor networks.

Real-time data collection can be achieved through various methods such as streaming data ingestion, API integrations, or real-time data capture tools. CrateDB supports  fast data ingestion and processing, handling millions of data points per second.

Real-time data is typically stored in databases or high-speed data stores designed to handle rapid data processing. CrateDB utilizes columnar storage to compute data aggregations on demand without downsampling or pre-aggregation, facilitating dynamic and immediate analysis of large datasets.

An example of real-time analysis could be a live dashboard displaying website visitor behavior or a system monitoring tool tracking server performance in real-time. Learn how O-CELL's real-time monitoring solution helps reduce the environmental impact with CrateDB >