Security Data Lake

Security data lake architecture for long retention at a fraction of SIEM cost

We architect security data lakes that keep years of searchable telemetry in open formats on low-cost object storage, while the SIEM stays focused on real-time detection.

ClickHouseSnowflakeDatabricksGoogle BigQueryAzure Data ExplorerAmazon Security LakeApache IcebergTiered storage
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Capabilities

What we architect

Tiered storage design

Hot, warm and cold tiers with clear rules for what lives where, how long, and how quickly it can be searched or rehydrated.

Open formats & schemas

Parquet with Apache Iceberg or Delta Lake tables and OCSF or ECS schemas, so data stays queryable by multiple engines and is never locked to one vendor.

Search, hunting & federated query

Threat-hunting and investigation on fast analytical engines such as ClickHouse, Trino and Athena, with federated queries from your SIEM or notebooks.

Retention & compliance

Retention policies mapped to regulations such as CERT-In 180-day log retention, NCA ECC, Qatar NIA and MAS TRM, with immutable archive options.

In-country data residency

Deployment on in-region cloud or on-premises object storage to meet data sovereignty requirements in India, the GCC, Malaysia and Singapore.

Rehydration & replay

Replay archived data into the SIEM for incident response, audits or new detections, without paying to keep it hot.

Supported platforms

ClickHouse and other leading query engines and storage platforms

We build your security data lake on the query engine and storage your team already runs or that best fits your volumes, retention and residency needs. Data stays in open formats, so you can change or add engines later without re-ingesting.

Query & analytics engines

ClickHouseReal-time columnar analytics for high-volume log search and hunting
SnowflakeCloud data warehouse for security analytics at scale
DatabricksLakehouse on Delta Lake with Spark and SQL analytics
Google BigQueryServerless analytics, native to Google SecOps environments
Azure Data ExplorerKusto (KQL) analytics alongside Microsoft Sentinel and its data lake
Elasticsearch & OpenSearchSearch tiers with frozen and searchable-snapshot storage
Trino & Amazon AthenaFederated SQL directly over open table formats

Security lakes & table formats

Amazon Security LakeOCSF-native security lake on Amazon S3
Apache IcebergOpen table format with schema evolution and time travel
Delta LakeTransactional open table format for lakehouse architectures
Apache ParquetCompressed columnar files that cut storage cost

Object storage

Amazon S3Hot to Glacier tiers for long-term retention
Azure Data Lake StorageHot, cool and archive tiers on Azure
Google Cloud StorageStandard to archive classes on Google Cloud
MinIO & S3-compatibleOn-premises and sovereign object storage for in-country data
MSSPs & Enterprises

We work closely with and support both MSSPs and Enterprises

Retention requirements keep growing while SIEM budgets don't. A security data lake breaks that link for providers and enterprises alike.

For MSSPs, MDRs & SOC providers

  • Per-tenant storage isolation with shared, cost-efficient infrastructure
  • Offer long-retention and compliance archive as a premium service
  • Hunting and forensic search across historical customer data
  • Predictable storage cost per customer

For Enterprises & GCCs

  • Meet multi-year retention mandates without SIEM licence growth
  • Keep data in-country for sovereignty and regulatory audits
  • One historical source of truth for SOC, IR and compliance
  • Open formats that outlive any single security vendor
How we engage

From first call to measurable outcomes

Discovery call

45 minutes on your environment, pain points and goals. No commitment.

Current-state assessment

Sources, volumes, cost, detections and bottlenecks, delivered in 2–4 weeks.

Proof of value

A scoped, time-boxed proof of value with agreed success criteria.

Delivery & handover

We engineer, test, document and transfer knowledge to your team.

FAQ

Frequently asked questions

What is a security data lake?

A security data lake stores large volumes of security telemetry on low-cost object storage in open formats, so it can be searched for hunting, investigations and compliance without the cost of keeping everything in a SIEM.

Does a security data lake replace my SIEM?

Usually not. The SIEM remains the real-time detection tier, while the lake holds warm and cold data for hunting, investigations and long retention. Together they cut cost and extend visibility.

How does tiered log storage work?

Hot storage holds recent, detection-grade data in the SIEM; warm storage holds searchable data for hunting; cold storage holds compressed, low-cost archives for compliance, with rehydration when needed.

Which query engines and storage platforms do you support?

We design security data lakes on ClickHouse, Snowflake, Databricks, Google BigQuery, Azure Data Explorer and Microsoft Sentinel data lake, Amazon Security Lake, Elasticsearch and OpenSearch, Trino and Amazon Athena, using Apache Iceberg, Delta Lake and Parquet on Amazon S3, Azure Data Lake Storage, Google Cloud Storage or on-premises S3-compatible storage such as MinIO.

Can the data lake stay inside my country?

Yes. We design deployments on in-region cloud or on-premises object storage to meet data-residency rules in India, Saudi Arabia, Qatar, UAE, Malaysia and Singapore.

Talk to a security data engineer

A focused 45-minute discovery call on your log sources, volumes, SIEM and detection goals. No sales pitch: just a direct conversation about whether we can help.

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