Presented by Seong Park, VP, Solutions Architecture, MongoDB

2. What’s new in MongoDB

3. A MongoDB event
#MongoDB
VP Solutions Architecture
MongoDB
@seong17
Seong Park

4. #MongoDB
Mission-critical apps. Stronger security, broader platform support, and Zones
make MongoDB ready for the most demanding mission-critical deployments.
Multi-model done right. Other vendors sell you multiple products. MongoDB gives
you multiple models in one database: document, graph, key value, and search
with faceted navigation.
Modernized tooling. A sophisticated range of tools and integrations provide
powerful capabilities for Data Analysts, DBAs, and Operations teams.
MongoDB 3.4 Themes

5. #MongoDB
Hash-Based Sharding
Roles
Kerberos
On-Prem Monitoring
2.4 2.6 3.0 3.2
$out
Index Intersection
Text Search
Field-Level
Redaction
LDAP & x509
Auditing
Document Validation
$lookup
Fast Failover
Simpler Scalability
Aggregation ++
Encryption At Rest
In-Memory Storage
Engine
BI Connector
MongoDB Compass
APM Integration
Profiler Visualization
Auto Index Builds
Backups to File
System
Doc-Level
Concurrency
Compression
Storage Engine API
≤50 replicas
Auditing ++
Ops Manager
Intra-cluster compression
Views
Log Redaction
Linearizable Reads
Graph Processing
Decimal
Collations
Faceted Navigation
Spark Connector ++
Zones ++
Aggregation ++
Auto-balancing ++
ARM, Power, zSeries support
BI Connector ++
Compass ++
Hardware Monitoring
Server Pool
LDAP Authorization
Encrypted Backups
Cloud Foundry Integration
3.4
MongoDB 3.4 – Your Database Evolved

6. #MongoDB
Zones
● Geo. distribution
● Tiered Storage
● Application
Affinity
Advanced Security
● Native LDAP
authorization
● Read-only views
for field-level
security
Elastic Clusters
● Scale up and
down without
disruption
● Faster auto-
balance and initial
sync
Tunable Consistency
● Linearizable
reads
● Maximum lag
setting for
secondary reads
Designed for Mission Critical Applications

7. #MongoDB
Default Database for Modern Applications
• Multi-model done right
• Graph Computing
• Enhanced Analytics
• Spark Connector
• Faceted Navigation
• 20+ new expressions
• Decimal support
• Collations for 100+
languages
MongoDB Storage Engines
MongoDB Query Language (MQL) + Native Drivers
WiredTiger
Encrypted
In-Memory
Column-
Oriented*
LSM*
Management
Security
MongoDB Data Models
Relational
Graph
Key/Value
Document
Data
Consolidation
Data Analytics
HTAP
OLTP
* Future storage engines

8. #MongoDB
Modernized Tooling
• Enhancements to BI
Connector
• MongoDB Compass
• Display Indexes & Query
Plans
• Modify Documents
• MongoDB as a Service
• Server Pools
• Cloud Foundry Integration
• Monitoring
• Finer time granularity
• Hardware stats