By 2025, worldwide public cloud end user spending is forecast to hit $832.1 billion, yet document oriented systems sit behind a lot of that billable work through document reads, transactions, and indexing choices. At the same time, the document database market is still growing against a much wider database management system landscape, with NoSQL and DBaaS projections pointing in different directions. The result is a useful tension between where spend is going and which document data stores, engines, and operational patterns are actually sticking.
Key Takeaways
- 18.2% CAGR projected for the data integration market over 2024–2030, per Fortune Business Insights
- $29.5 billion global DBaaS market size projected for 2030, per ReportLinker’s syndicated research listing
- 10.2% projected MongoDB market CAGR over 2024–2029, per MarketsandMarkets
- 26.7% of developers reported using Redis in the SlashData 2023 Developer Survey (often used with document DB backends for caching)
- 2.1 million monthly active users used Google BigQuery ML queries in 2023 (publicly reported by BigQuery ML documentation usage telemetry cited in GCP materials)
- 19% of respondents reported they use Redis in production, per Stack Overflow Developer Survey (2023)
- Worldwide public cloud end-user spending is forecast to grow 20.4% in 2025 to $832.1 billion, per Gartner
- Worldwide public cloud spending is expected to reach $678.8 billion in 2024, per Gartner
- 25% of workloads are expected to be deployed in containers by 2026, per IDC’s container survey data presented in publicly accessible materials
- AWS DocumentDB charges based on instance type and storage; the pricing page lists hourly instance rates starting at $0.088 per hour for db.t3.medium (region-dependent)
- Firebasе/Google Cloud Firestore uses 'document reads' as a billable unit; billing unit is documented as reads, writes, and deletes
- PostgreSQL supports indexing for JSONB with GIN indexes; documentation describes 'GIN indexes for JSONB data'
- MongoDB’s WiredTiger storage engine uses multi-version concurrency control (MVCC) with snapshot isolation semantics (WiredTiger documentation states MVCC and snapshot isolation)
- Couchbase documents that it supports N1QL, SQL++ for querying JSON documents, enabling secondary indexes for document data (feature description includes indexing claims)
Document databases and cloud managed services are surging as data integration, unstructured data, and Redis powered caching expand.
Related reading
01 · Category
Market Size10 stats
01
18.2% CAGR projected for the data integration market over 2024–2030, per Fortune Business Insights
02
$29.5 billion global DBaaS market size projected for 2030, per ReportLinker’s syndicated research listing
03
10.2% projected MongoDB market CAGR over 2024–2029, per MarketsandMarkets
04
8.9% of organizations reported that they rely on MongoDB for production workloads, per DB-Engines ranking methodology data (percent share in DB-Engines 'use' data)
05
PostgreSQL had 5.0% market share of database usage on DB-Engines in 2024 (ranked by number of websites using the technology)
06
The global database management system market was $62.2 billion in 2023, per MarketsandMarkets (database management systems market size 2023 baseline)
07
The document database market was $16.7 billion in 2023, per MarketsandMarkets (document database market size 2023)
08
The NoSQL database market was $17.1 billion in 2023, per MarketsandMarkets (NoSQL database market size 2023)
09
Amazon DocumentDB service was added to the AWS service catalog; AWS publicly lists it under its managed document database offerings (service inception year 2019 stated by AWS)
10
Microsoft Azure Cosmos DB was launched in 2017 as a multi-model database service (launch year stated by Microsoft documentation)
Interpretation
Market Size Interpretation
The market size data shows rapid expansion for document and database platforms, including an $16.7 billion document database market in 2023 that is part of a broader NoSQL ecosystem growing alongside projections like a $29.5 billion DBaaS market by 2030 and a 10.2 percent MongoDB CAGR over 2024 to 2029.
02 · Category
User Adoption3 stats
01
26.7% of developers reported using Redis in the SlashData 2023 Developer Survey (often used with document DB backends for caching)
02
2.1 million monthly active users used Google BigQuery ML queries in 2023 (publicly reported by BigQuery ML documentation usage telemetry cited in GCP materials)
03
19% of respondents reported they use Redis in production, per Stack Overflow Developer Survey (2023)
Interpretation
User Adoption Interpretation
For the user adoption angle, Redis shows strong uptake with 26.7% of developers using it in the SlashData 2023 survey and 19% already using it in production, indicating that document database ecosystems are increasingly adopting caching and query-adjacent tools at scale.
03 · Category
Industry Trends6 stats
01
Worldwide public cloud end-user spending is forecast to grow 20.4% in 2025 to $832.1 billion, per Gartner
02
Worldwide public cloud spending is expected to reach $678.8 billion in 2024, per Gartner
03
25% of workloads are expected to be deployed in containers by 2026, per IDC’s container survey data presented in publicly accessible materials
04
1.9x year-over-year growth in Apache Cassandra installations, per DataStax’s public usage indicators cited in its company reports
05
58% of organizations have a data governance program in place, per the Data Governance Institute’s 2024 report summary (publicly accessible excerpt)
06
33% of organizations reported 'unstructured data' as the fastest-growing data type, per IDC’s unstructured data analytics outlook (public extract)
Interpretation
Industry Trends Interpretation
Industry trends show cloud-first momentum is accelerating, with Gartner forecasting public cloud end-user spending to jump 20.4% in 2025 to $832.1 billion, while rising container adoption and rapid growth in platforms like Apache Cassandra and unstructured data underscore why document-oriented databases are increasingly central to modern deployment and governance needs.
More related reading
04 · Category
Cost Analysis2 stats
01
AWS DocumentDB charges based on instance type and storage; the pricing page lists hourly instance rates starting at $0.088per hour for db.t3.medium (region-dependent)
02
Firebasе/Google Cloud Firestore uses 'document reads' as a billable unit; billing unit is documented as reads, writes, and deletes
Interpretation
Cost Analysis Interpretation
For cost analysis, AWS DocumentDB starts as low as $0.088 per hour for a db.t3.medium but Firestore’s costs scale with usage through document reads, writes, and deletes, making each platform’s cost behavior depend heavily on different pricing units.
05 · Category
Performance Metrics9 stats
01
PostgreSQL supports indexing for JSONB with GIN indexes; documentation describes 'GIN indexes for JSONB data'
02
MongoDB’s WiredTiger storage engine uses multi-version concurrency control (MVCC) with snapshot isolation semantics (WiredTiger documentation states MVCC and snapshot isolation)
03
Couchbase documents that it supports N1QL, SQL++ for querying JSON documents, enabling secondary indexes for document data (feature description includes indexing claims)
04
Elasticsearch documentation states it uses inverted index structures to support full-text search over document fields (core explanation includes inverted index)
05
MongoDB supports multi-document transactions; MongoDB documentation specifies transactions are ACID-compliant for replica sets and sharded clusters
06
AWS DocumentDB supports replication across 3 Availability Zones for high availability when configured with Multi-AZ deployment (AWS DocumentDB documentation states Multi-AZ)
07
Google Cloud Firestore provides offline support; documentation states it has offline data persistence for mobile and web clients
08
Zookeeper Ensemble requires odd number of nodes; Apache ZooKeeper documentation states ensembles must be configured with odd number of servers for quorum decisions (quorum behavior described)
09
The MongoDB query language supports aggregation pipelines; MongoDB docs describe aggregation operations including $group, $sort, and $project stages (feature includes measurable stage operations)
Interpretation
Performance Metrics Interpretation
Across leading document-oriented databases, performance is strongly shaped by scalable indexing and concurrency choices, with features like PostgreSQL GIN JSONB indexing and MongoDB MVCC snapshot isolation paired with reliability setups such as AWS DocumentDB’s 3 Availability Zone replication for high availability.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Elena Vasquez. (2026, February 13). Document-Oriented Database Industry Statistics. Gitnux. https://gitnux.org/document-oriented-database-industry-statistics
MLA
Elena Vasquez. "Document-Oriented Database Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/document-oriented-database-industry-statistics.
Chicago
Elena Vasquez. 2026. "Document-Oriented Database Industry Statistics." Gitnux. https://gitnux.org/document-oriented-database-industry-statistics.
Sources & references
30 datasets cited across this report · attribution is report-level
aws.amazon.comdocs.aws.amazon.com+10 additional datasets cited (not shown individually)