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Redgate

About Redgate

Redgate provides Database DevOps solutions across the database lifecycle. The company has specialized in database management software for over 25 years. Its solutions support automation, secure scaling, and database-related AI initiatives. The product portfolio addresses challenges of database management across the DevOps lifecycle. Redgate's tools are used by IT leaders, development teams, and operations teams.

Products

  • Redgate Flyway: Brings speed and governance to database changes.
  • Redgate Monitor: Provides real-time multi-platform performance monitoring with alerts and diagnostics.
  • SQL Toolbelt Essentials: Provides AI-augmented SQL Server development from schema design to deployment.
  • Redgate Assistant: Is AI that knows a user's databases.
  • SQL Prompt: Writes, formats, and debugs SQL.
  • Redgate Data Modeler: Designs, updates, and manages database schemas.

Used for

  • Ensuring data security and compliance with monitoring and change traceability
  • Monitoring and understanding databases with visibility into performance and change
  • Building, testing, and deploying database changes
  • Simplifying and speeding up database development workflows
  • Preparing data foundations for AI initiatives

Who it is for

  • IT leaders
  • Development teams
  • Operations teams
  • Database teams using SQL Server

From Redgate's own website, read 2026-10-24. How we build listings.

How to evaluate Database Platforms

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Redgate. It comes from our Enterprise Database Platforms buyer guide.

25%
Data Model & Query Fit
Match of the engine to the workload: relational integrity and joins, document/JSON flexibility, key-value latency; transaction isolation levels and ACID guarantees; SQL standard coverage and dialect quirks; secondary indexes, full-text and vector (pgvector / Atlas Search) support; foreign keys and referential integrity where you need them
20%
Consistency, Scale & HA
Single-primary vs. multi-writer; synchronous vs. async replication and resulting RPO; read-replica and sharding story; horizontal write scale and global/multi-region behavior (strong vs. eventual consistency); failover time, achievable RTO, and how partitions are handled under load
20%
Operability & Managed-Service Experience
Quality of the managed offering (RDS/Aurora, Azure SQL, Cloud SQL/AlloyDB) vs. self-managed burden; in-place and major-version upgrade path; backup/PITR, observability, and connection pooling; autoscaling and serverless options; day-2 toil — vacuum/compaction, index bloat, rebalancing — and the depth of the DBA skills it demands
15%
Licensing & Portability
License class and its real constraints: OSI open source (PostgreSQL, MySQL, Valkey, Redis 8 AGPL) vs. source-available (MongoDB SSPL, CockroachDB enterprise/BSL) vs. proprietary (Oracle, SQL Server); cloud lock-in of proprietary engines (Aurora, Spanner, DynamoDB); wire-protocol and SQL-dialect compatibility that preserves an exit; audit exposure on proprietary metrics
12%
Security & Compliance
Encryption at rest and in transit, TLS enforcement, and key management (BYOK/HSM); row- and column-level security and fine-grained RBAC; field-level / queryable encryption for sensitive data; audit logging; data-residency controls and certifications (SOC 2, ISO 27001, HIPAA, PCI, FedRAMP) on the managed service
8%
Ecosystem & Talent
Driver and ORM maturity across your languages; migration and CDC tooling (logical replication, Debezium, DMS); breadth of extensions and integrations; size and hireability of the talent pool; quality of docs and the support path — first-party vendor vs. third-party (EDB, Percona, Crunchy) for open engines

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

www.red-gate.com Pricing page
CategoryData & Analytics
SubcategoryDatabase Platforms

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Keep reading

Buyer Guide
Database DevOps & Schema Management
Toolkits
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Capability models, architecture templates and IT strategy tools to download.

Job 04
Control technology spend

AI is billed per use, so its cost grows with adoption while the rest of the budget is under review.