MariaDB in Financial Services

Data-driven competitive edge

The financial services industry is undergoing a sea change, faced with threats from fintechs, a shift in customer preferences accelerated by the pandemic, and a patchwork quilt of regional and local regulations. Increasingly, differentiated digital capabilities are the key weapon that financial services institutions (FSIs) wield to stay ahead of their peers and new market players. FSIs depend on MariaDB to deliver database solutions that support key areas of differentiation such as high-volume transactions, fraud detection, process optimization and customer experience.

Faster Decisions

Rapidly adjust your transactional and analytical operations with cloud-native database-as-a-service (DBaaS) digital capabilities.

See Global, Act Local

Run transactions with collocated analytics in region yet keep a single centralized, common operational picture of your data with distributed SQL and columnar analytics.

Reduce Risk

Harness open source, cloud economics and innovation with the reliability, security, HA capabilities you’d expect from high-end proprietary systems like Oracle.

 

Factsheet

Charting a Path to Financial Services Modernization

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Featured Content

Rethinking Financial Services Transaction Modernization

Watch this webcast to understand how relational databases – the bedrock of financial transactions for half a century – must be rearchitected, redeployed and reimagined for FSIs to thrive in a world of digitally transformed banking and insurance. Specifically, we’ll look at:

  • How distributed SQL databases must be designed and deployed for distributed and edge transactions, including mobile banking activities such as identity and payment authorization
  • How operational analytics must increasingly be co-resident with transaction processing for critical use cases, including customer experience management and fraud detection
  • How cloud design and implementation of transactional processing databases can impact price, performance, security and availability – with significant variations in latency between clouds, on-premises deployments, and even within a single cloud

Customers

Customer Story
Customer Story
Development Bank of Singapore (DBS) migrates to MariaDB
Customer Story
Development Bank of Singapore (DBS) migrates to MariaDB
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Customer Story
Customer Story
Financial Network, Inc. (FNI) moves from Oracle to MariaDB
Customer Story
Financial Network, Inc. (FNI) moves from Oracle to MariaDB
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Customer Story
Customer Story
How DBAs at TradingScreen make life easier with automation
Customer Story
How DBAs at TradingScreen make life easier with automation
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Mariadb core FSI use cases

MariaDB products and technologies, including MariaDB Enterprise Server with ColumnStore, MariaDB Xpand and MaxScale, support our FSI customers across various digital capabilities to reduce costs, increase performance and scale.

High-Volume Transactions

Execute and analyze millions of transactions across multiple regions with high concurrency, security and ACID compliance for key functions such as mobile banking, card processing, wire transfers and trading.

Fraud Detection

Make more accurate decisions faster and closer to the transaction to better support key functional areas such as identity theft, account takeover prevention, credit card schemes and money laundering.

Risk Management

Perform pre- and post-transactional analytics to identify, assess and act on risks to profits, regulatory compliance, and other factors that can significantly impact operations such as loan underwriting and approvals, account transfers, and securities and market trades.

Customer Experience

Understand your customer throughout their entire lifecycle, from acquisition to retirement. Make each interaction and transaction an opportunity to cross-sell or up-sell, provide a next-best offer, and improve loyalty and reduce churn.

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DISTRIBUTED TRANSACTION Capabilities

Data Integrity
Data Integrity

Global scale across geographical regions and multiple clouds without sacrificing data integrity, maintaining full atomicity, consistency, isolation and durability (ACID).

Continuous Availability
Continuous Availability

Designed to tolerate infrastructure failures and maintain availability, storing multiple copies of data with zone awareness and multi-site replication.

Self-Managing
Self-Managing

Continuous monitoring of data distribution and resource utilization with automated rebalancing, redistribution and re-creation of nodes and associated data to ensure highest availability and maximum performance.

Modern Analytics Capabilities

Standard SQL
Standard SQL

Analyze large amounts of data with standard SQL, including joins with other tables (row or columnar).

Kafka and Spark Connectors
Kafka and Spark Connectors

Use Kafka and Spark connectors to ingest streaming data and publish machine learning results for interactive, ad hoc analysis.

Direct Data Loading
Direct Data Loading

CLI import tools as well as C, Java and Python connectors bypass the SQL layer to load data directly to storage from anywhere.

SkySQL: Fully managed cloud data services

Core Services

  • MariaDB MaxScale database proxy: Provides enterprise high availability, scalability, security and integration services, simplifying application development and database administration.
  • MariaDB Enterprise Server: A modern, general-purpose database engineered for performance, reliability, security and extensibility with a modular architecture.
  • MariaDB ColumnStore: A specialized storage engine for scalable, high-performance analytics without the need for complex schemas and indexes – distributed, columnar storage with parallel query processing.
  • MariaDB Xpand: A distributed SQL database for applications requiring scalable transaction processing and operational analytics without sacrificing the relational data model and ACID transaction.
  • Bulk data adapters: C++, Java and Python libraries for enabling developers and data scientists to collect and write data to storage on demand, bypassing the SQL interface for higher throughput.
  • Streaming data adapters: Apache Kafka and MariaDB MaxScale services for importing data from MariaDB or Apache Kafka in near real time – automatically, transparently and continuously.
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Resources

webinar
webinar
Columnar Storage + Python: Powering Modern Data Science and Analytics
webinar
Columnar Storage + Python: Powering Modern Data Science and Analytics
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Blog Post
Blog Post
Analysis of Financial Time Series Data Using MariaDB ColumnStore
Blog Post
Analysis of Financial Time Series Data Using MariaDB ColumnStore
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Datasheet
Datasheet
Creating a Path to Financial Services Modernization
Datasheet
Creating a Path to Financial Services Modernization
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