Companies generate billions of data points daily – from log files, IoT sensors, user interactions, or business applications. Intercolo Object Storage offers a reliable, S3-compatible solution for cost-efficient, permanent storage of these data volumes.
Ideal for analytics platforms, data pipelines, and data lake infrastructures.
Seamless integration with tools like Apache Spark, Hadoop, Presto, AWS Athena, Airflow, or Databricks.
Storage of CSV, JSON, XML, Parquet, or Avro files for later analysis.
Centralized storage of system logs, network data, telemetry, or user interactions.
Persistent storage base for raw and intermediate data in analytics workflows.
Combination with Apache Spark, Flink, or Kafka for high-performance processing of large data volumes.
Backup of query histories, training data, reports, or dashboards.
S3-compatible via API
aws-cli, rclone
SDKs (Python, Java, Go)
Direct integration with analytics tools
Optimized for parallel access, large objects, and high request frequency. Object-based storage with automatic redundancy.
Yes. The data can be processed directly from the object storage with analytics tools like Presto, Athena, or Spark – without prior import.
No. Our object storage grows with your requirements – from a few GB to several PB.
Your data is stored in German, ISO-27001 certified data centers, transmitted encrypted, and stored redundantly.
Via S3-compatible API, CLI, or backup/analytics software. Access rights can be controlled granularly.
No. At Intercolo, there are no fees for data retrieval (egress) or API access.
With Intercolo Object Storage, you make your data future-proof – scalable, secure, and efficient. Ideal for data-driven business models, modern BI strategies, and ML-based analysis.
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