AI-Powered Data Integration Platform
Build pipelines in a no-code designer, or let AI agents draft them. Connect disparate sources. Auto-map, transform and validate every record. Write to any target at speed with parallel processing.
Design, validate and deploy data integration pipelines in one workflow
Replace separate tools for ingestion, mapping, transformation, quality and monitoring. AI agents draft the pipeline, your team validates it, and the Centerprise server executes it.
Step 1 of 5: Connect your sources
See the AI-powered data integration tool in action
Data integration software capabilities in one unified platform
AI auto-mapper and AI lookup
Semantic profiling proposes source-to-target matches. Review and override in the visual mapper.
Natural-language pipeline design
AI agents draft sources, mappings, transforms and validations as an inspectable flow. Optional locally hosted model.
Model-driven automation
Regenerate pipelines from the data model when source schemas change.
Connectivity
60+ native connectors. 200+ more via custom API (CAPI) connectors and other protocols.
Ingestion
Trigger-based CDC, incremental load and full load. Batch and streaming.
Performance
Parallel processing for faster pipeline runs.
Transformations
200+ built-in, record-level and set-level: joins, lookups, aggregations, expressions.
Documents and EDI
Template-less AI extraction with built-in OCR. ANSI X12, EDIFACT and HL7 parsing and validation.
Data quality and prep
Rules set once, with record-level errors and alerts on every run. Cleansing, calculations and reconciliation saved as re-runnable recipes.
Warehouse modeling
Data Vault 2.0, star and snowflake schemas. SCD 1, 2, 3 and 6. One-click deploy.
Orchestration
Time, event and file-drop triggers. Workflows and sub-flows.
Monitoring
Step-level logs, automatic retries and alerts.
Security and governance
RBAC, audit logging, SSO and end-to-end lineage. Zero data egress.
Deployment
On-premises, private cloud, cloud and hybrid. Guides for AWS, Azure, Oracle Cloud and Kubernetes.
Data integration that moves fast and stays in your control
Connect what you already run
Pull in data from the databases, ERPs, CRMs, files and APIs your teams already use. 60+ native connectors and 200+ more through custom API connectors mean fewer custom builds.
One platform, every data flow
Batch loads, change data capture and real-time flows run on one platform, so you stop paying for and maintaining a separate tool for each.
Deliver data faster with AI
Describe what you need in plain language and AI agents draft the pipeline, while the AI auto-mapper matches your fields. Your team approves every flow, agents only reach the data each user can access, and Astera never trains models on your content.
Reports you can trust
Quality rules run inside every pipeline, and pipelines regenerate when source systems change, so your reports and decisions stay accurate without rework.
Operations that run themselves
Automatic retries, alerts and step-level logs help your team catch and trace issues early, and approved pipelines run the same way every time.
Control cost and risk
Deploy on-premises, in a private cloud or hybrid, with role-based access, lineage and zero data egress. Fixed up-front pricing keeps budgets predictable.
Rated and recognised by the people who use it
- G24.3/531 reviews
4.8/513 ratings
8.7/1055 reviews
We went with Astera because its interface is very user friendly. You can drag and drop components to pull data from any source and then manipulate either all of the data or individual fields the same way. I love that I don't have to have someone fully trained in SQL code and SSIS in order to develop high quality solutions.
Usability
Performance
Support
Support
Pricing fixed up front. No surprises later.
Your price is custom and fixed up front. No hidden fees. Renewal terms in writing, with annual increases capped for existing licenses.
What's included
- 60+ native connectors, 200+ via custom API connectors
- AI agents and AI-based pipeline generation
- 200+ built-in data transformations
- Parallel processing for faster runs
- Batch, CDC, API and streaming
- Built-in data quality validation
- Award-winning support, onboarding and training
- Predictable, fixed up-front pricing
Data integration FAQs
Data integration combines data from different sources, such as databases, applications, files and APIs, into one unified, consistent view. It usually means extracting the data, transforming and cleaning it, and loading it into a target such as a data warehouse. Learn more about data integration .
A data integration platform is software that connects to your data sources and moves data between them from one place. It covers connectivity, mapping, transformation, data quality, scheduling and monitoring. Modern platforms such as Centerprise AI add no-code design and AI that builds pipelines for you.
AI works at design time. It profiles your sources, matches fields by meaning, drafts transformations and quality rules, and generates the pipeline from a plain-English request. Your team reviews and approves every flow before it deploys, and approved pipelines then run deterministically, with no AI in the execution path.
Yes. You build pipelines in a visual designer using drag-and-drop transformations, or describe them in natural language and let the copilot draft them. Analysts can build and maintain workflows without writing code, while engineers can add custom expressions when they need advanced logic.
Yes. Centerprise AI supports batch, ETL/ELT, change data capture (CDC) and streaming pipelines in one platform, so you can run full loads, incremental loads and real-time flows from the same interface and scheduler.
Chat, phone, ticket and email support for every customer, plus onboarding and live training from Astera engineers. Astera was named G2 Best Support, Mid-Market, in three reports. Documentation, a forum and Astera Data Academy are always available.
Yes. It offers dedicated infrastructure, unlimited users, custom deployment options, monitoring with retries and alerts, and a dedicated customer success manager.
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