Software AG
About Software AG
Software AG's product can run on Linux, on-premises, or in the cloud. Applications can be deployed using container platforms such as Docker and Kubernetes. Applications can be rehosted from legacy UNIX platforms to Linux. Applications can be re-architected to use microservices, containers, and Kubernetes orchestration.
Products
- Adabas on Linux: Transactional database management system available on Linux, on-premises, or cloud.
- Natural on Linux: Enterprise application platform that delivers transaction speed and reliability on Linux, on-prem, or cloud.
- Adabas Encryption: Protects data at rest and in flight wherever the system is deployed.
- Adabas Cluster for Linux: Provides high availability and transaction consistency with a multi-node, geographically distributed cluster deployment.
- Natural Availability Server: Provides high availability for Natural applications on distributed Linux and cloud environments.
- Event Replicator for Linux: Updates third-party databases, data lakes, or messaging systems with real-time change data capture for Adabas.
Used for
- Deploying applications to the cloud using container platforms
- Moving applications off legacy UNIX platforms
- Re-architecting applications for microservices and container orchestration
- Updating third-party databases and messaging systems with change data capture
From Software AG's own website, read 2026-10-23. How we build listings.
How to evaluate Data Warehouse & Lakehouse
This is how the CIOPages Research Team evaluates this category. It is not an assessment of Software AG. The category covers two kinds of product, so both frameworks are here. Most buyers need one of them.
Cloud Data Warehouse
25%
Query Performance & Concurrency
TPC-DS benchmarks, concurrent user support, query queuing, automatic scaling, sub-second response for dashboards
20%
Data Ingestion & Integration
Streaming ingestion (Kafka, Kinesis), batch loading, CDC support, native connectors, data sharing/marketplace
20%
Governance & Security
Column/row-level security, dynamic data masking, data lineage, access policies, audit logging, compliance certifications
15%
AI/ML Integration
Native ML runtimes (Python/Spark), feature store, vector search, LLM integration, model serving
10%
Cost Management
Compute/storage separation, auto-suspend, resource monitors, usage attribution, reserved capacity pricing
10%
Ecosystem & Tooling
BI tool compatibility, dbt/Airflow integration, Iceberg/Delta support, partner ecosystem, marketplace
Data Lakehouse Platforms
25%
Open Format & Catalog Interoperability
Native read AND write to Apache Iceberg and/or Delta Lake, Iceberg REST Catalog support, credential vending for external engines, cross-format bridges (Delta UniForm, Apache XTable), and whether grants and lineage travel with the table when another engine reads it
20%
Query Engine Performance & Concurrency
Vectorized execution (Photon, Arrow/Gandiva, native engines), caching and materialization (reflections, result cache, Warp Speed), high-concurrency BI behavior, autoscaling, and predictable performance on your own data — not vendor benchmarks
20%
Data Engineering, Streaming & AI/ML
Batch and streaming ingestion into open tables, incremental/CDC and upsert support, orchestration, ML lifecycle (feature store, training, model serving), notebook and Python/Spark depth, and native LLM/agentic and vector capabilities
15%
Governance, Security & Lineage
A unified catalog spanning tables, files, ML models and (increasingly) unstructured data; fine-grained RBAC/ABAC, row/column masking, data sharing, automated lineage, and consistent policy enforcement across every engine that touches the data
10%
Operational Simplicity & Table Maintenance
Automated compaction, clustering, snapshot expiry and orphan-file cleanup; serverless vs. cluster sizing; multi-cloud and hybrid/on-prem reach; admin and FinOps tooling; and how much table toil the team must own versus the platform absorbing it
10%
Cost Model & Consumption Control
Consumption unit (DBU, credit, capacity unit, bytes/slots), separation of storage and compute, idle-suspend and autoscaling guardrails, egress and cross-region exposure, workload isolation, and the FinOps tooling to attribute and cap spend
Other Data Warehouse & Lakehouse Vendors
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Quick Facts
www.softwareag.com/en_corporate/platform/adabas-natural/cloud-transformation.htmlCategoryData & Analytics
SubcategoryData Warehouse & Lakehouse
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