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Franck Pachot
Franck Pachot

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MongoDB compared to Oracle Database Maximum Availability Architecture

Users looking at Oracle alternatives see the limitations of PostgreSQL in terms of high availability and ask:

Will MongoDB give me the same high availability (HA), disaster recovery (DR), and zero/near-zero data loss I’ve relied on in Oracle’s Maximum Availability Architecture (MAA)?

I previously compared Oracle Maximum Availability Architecture with YugabyteDB’s built-in high availability features here. I've done the same with MongoDB, which also offers built-in high availability though Raft-based replication to quorum, but for a document-model application rather than SQL.

Oracle MAA and MongoDB

Oracle DBAs are used to a mature, integrated stack—RAC, Data Guard, GoldenGate, Flashback, and RMAN—refined for decades to work together in the MAA framework. MongoDB instead takes a cloud-native, distributed approach, embedding replication, failover, and sharding directly in its core engine rather than through separate options. While the technologies differ—MongoDB uses pull-based logical replication instead of broadcasting physical log changes—they pursue the same goals.

MongoDB vs Oracle MAA Levels

MongoDB Oracle🥉 MAA Bronze Oracle🥈 MAA Silver Oracle🥇 MAA Gold Oracle💰 MAA Platinum
Main Goal Cloud-Native Resilience Backup MAA Bronze + HA MAA Silver + DR MAA Gold + Multi-Master
HA/DR Product Native in MongoDB core: replica sets, sharding, multi-region, backups RMAN RAC RAC + Data Guard (ADG) RAC + Data Guard + GoldenGate
RPO (Recovery Point Objective) 0 with writeConcern: "w:majority" (sync to quorum), which is the default Minutes (archivelog backups) Same as Bronze (no extra DB protection) 0 with Maximum Protection0 or more with Maximum Availability Seconds if tuned with low replication lag
RTO (Recovery Time Objective) 5–15 seconds for automatic primary election Hours–Days depending on database size Seconds for server crash, but DB is not protected Minutes with FSFO (Sync) Seconds if no conflicts in active-active failover
Corrupt Block Detection Automatic via storage engine checksums and replica healing RMAN detection + manual blockrecover No additional protection Automatic with lost-write detection (ADG) No additional protection beyond Gold
Online Upgrade Zero downtime via rolling upgrades Minutes–hours for major releases Some minor rolling upgrades (OS/patch) Near-zero downtime with transient logical Yes, if GoldenGate active-active is configured correctly
Human Error Mitigation Point-in-time restores from Atlas backups or filesystem snapshots Flashback Database, Snapshot Standby, LogMiner, Flashback Query, Flashback Transaction, dbms_rolling, dbms_redefinition, ASM Same + RAC Same + ADG Similar to Gold (GoldenGate can replay changes)
Online DDL Non-blocking schema changes (document model) No transactional DDL; EBR (Edition-Based Redefinition) Same as Bronze Same as Bronze Same as Gold
Active-Active Via sharded clusters or Atlas Global Clusters; shard-key design avoids conflicts No — only standby server offline unless licensed RAC active-active within the same datacenter No — standby is read-only (Active DG) Yes — GoldenGate active-active, requires conflict handling
Application Continuity Automatic failover with drivers + retryable writes CMAN proxy Transparent failover + Transaction Guard (RAC) Transparent failover (Data Guard) with transaction replay Transparent failover + conflict handling
Complexity Low (built-in distributed features) Low High (clusterware) Medium (RAC + DG) High (RAC + DG + GoldenGate)
Price (Options) EE (~$50K/CPU) EE + 50% (RAC option) EE + RAC + 25% (ADG option) EE + RAC + ADG + 75% (GoldenGate; often ~2.5× EE base)

Understanding Oracle MAA Levels

Oracle’s Maximum Availability Architecture (MAA) is organized into four tiers, each building on the previous:

  1. 🥉 Bronze – Backup Only: RMAN online backups, archived log retention, manual restore. RPO in minutes to hours, RTO in hours or days.
  2. 🥈 Silver – Bronze + High Availability: Add Real Application Clusters (RAC) for server-level HA and limited rolling upgrades. Very low RTO for server failures but no additional database protection beyond Bronze’s backups.
  3. 🥇 Gold – Silver + Disaster Recovery: Add Data Guard (often Active Data Guard) for synchronous or asynchronous failover to remote standby. With FSFO (Fast Start Failover) in sync mode, RPO can be zero, RTO in minutes.
  4. 💰 Platinum – Gold + Multi-Master: Add GoldenGate logical replication for active-active writes across sites and versions. Enables global presence but requires manual conflict handling and careful design.

In Oracle’s world, HA/DR is not one thing — it’s a stack of separate licensed products you combine according to your needs and budget. The complexity and cost rise quickly as you move up the tiers.

Focus on features rather than product names, which can be misleading. For example, Autonomous Data Guard (RPO > 0, no real-time query, no rolling upgrade) in the Autonomous Database managed service differs from Active Data Guard, which provides all features of MAA Gold, but is not part of the managed service.

How MongoDB Builds HA and DR Natively

MongoDB’s availability model takes a fundamentally different approach: it is a distributed database by design, with no single authoritative copy bottleneck like a monolithic RDBMS. Replication, failover, sharding, and multi-region deployment are built in, not optional add-ons.

Key components:

  • Replica Sets – Every MongoDB production deployment runs as a replica set by default.
    • Automatic leader (primary) election in 5–30 seconds if a node fails.
    • Tunable write concern for RPO control (e.g., "w:majority" for RPO=0).
    • Flow control to throttle writes when majority committed replication lag reaches a threshold to prevent secondaries from falling too far behind
  • Sharding – Horizontal partitioning with each shard itself being a replica set.
    • Supports scaling out writes and reads while maintaining HA per shard.
  • Multi-Region Clusters – Place replica set members in multiple regions/zones for DR.
    • Writes propagate to remote members, optionally synchronously (Atlas global writes).
  • Backups & Point-in-Time Restore – Atlas offers continuous cloud backups with PIT restore. Self-managed deployments use snapshots + Oplog replay.
  • Automatic Failover & Driver-Level Continuity – Client drivers reconnect automatically. Retryable writes can resume after failover without application-level intervention.
  • Rolling Upgrades Without Downtime – Upgrade nodes one at a time, keeping the cluster online.

This means that what takes three separate licensed Oracle products to achieve in Platinum is, with MongoDB, simply a topology decision you make when deploying the cluster.

Key Takeaways

  • Oracle MAA levels are additive—Bronze, Silver, Gold, and Platinum. Each higher tier requires extra products and adds complexity for on‑premises deployments, and not all tiers are available in managed services. They are very mature for enterprises, but you should not underestimate the operational cost.
  • MongoDB provides built-in HA and DR. Replication, failover, sharding, and multi-region deployments are topology settings that simplify operations. However, configuration still matters: consistency is tunable per application, and settings must align with your infrastructure’s capabilities.
  • RPO and RTO targets achievable with Oracle Platinum are also achievable with MongoDB. The main difference is flashback capabilities, so you must tightly control production access and ensure all changes are automated and tested first in pre-production.
  • MongoDB rolling upgrades eliminate downtime for routine maintenance—a major change from traditional monolithic upgrade windows. Avoid running outdated versions, as was common with legacy databases.
  • Global write scenarios are possible in both, but MongoDB’s sharded architecture can automatically avoid conflicts (ACID properties over the cluster, causal consistency)

Top comments (2)

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ludodba profile image
Ludovico Caldara

Hi Franck,
I’d like to offer a few comments to make the comparison more accurate.
First, in an HA/DR comparison, Gold (more so than Bronze, Silver, or Platinum) is the only level that truly makes sense to compare. This was certainly the case with the pre-26ai Maximum Availability Architecture, which we recently expanded and updated to include the new Diamond level.
Gold is the lowest tier that provides protection from both local and regional outages. So, as I mentioned, a fair comparison would only show MongoDB and Oracle Database with Gold MAA side by side.
As you correctly state, the levels build upon one another in terms of capabilities, so Gold provides additional benefits over Silver. That is not always clearly reflected in the table. For example, regarding RPO, one might infer that you don't achieve RPO = 0 unless you have maximum protection. However, with RAC, you have strict zero data loss for local outages without the performance penalty of distributed databases, yet with full write scalability (which you point out is available within the same Data Center). You can also choose which standby databases receive data synchronously and which do not (with Fast-Start Failover, regional failure is RPO = 0 for Maximum Protection and Maximum Availability).
Attempting to match two different technologies in a table inevitably leads to the omission of important points. For instance, with both Data Guard (for regional outages) and RAC (for local outages), there's always a consistent database/instance ready to take over, even if only one remains. This setup tolerates network isolation or the loss of a majority of nodes, which is a greater challenge for distributed databases, as it is often beneficial to keep the majority in the same region to reduce latency.
There are other omissions as well, such as transaction replays and “no transactions executed twice” upon transparent failover, which you don’t mention in the “Application Continuity” row, despite Oracle having a feature with that very name.
Regarding cost, you consider only BYOL without discounts and completely omit TCO, which is what customers should ultimately care about when budgeting. Our Cloud services offer more convenient license-included models, and some customers have already found that the price per transaction can be more attractive than popular open-source cloud offerings. The same Cloud services also eliminate the complexity of setting up and managing clusters and setting up multiple standby databases (consider Exascale, for example).
Finally, Oracle and MongoDB are fundamentally different technologies. Oracle is a complete, secure, and high-performance database for any workload, while MongoDB is purpose-built and excels at storing JSON documents. Even so, Oracle Database can manage JSON documents as well as MongoDB (if not better) while offering many additional advantages.
If you require a distributed, highly available database with HA/DR characteristics similar to MongoDB, Oracle Globally Distributed Database may be a better fit. However, our experience so far is that the Maximum Availability Architecture supports the most demanding workloads and uptime requirements without issue.

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franckpachot profile image
Franck Pachot

Thanks, Ludovico. Yes, comparing very different technologies in small table cells is inevitably approximate. Your additions are great. My goal wasn’t an exhaustive Oracle‑vs‑MongoDB feature comparison, but to show that enterprise‑level HA and DR require a combination of capabilities that goes well beyond the usual “just add read replicas to the most popular open-source database and you're protected”.