<p><span style="font-weight: 400;">The AgensGraph Development Team are pleased 
to announce the release of AgensGraph v2.5.</span></p>
<p>AgensGraph is a new generation multi-model graph database for the modern 
complex data environment. AgensGraph is a multi-model database, which supports 
the relational and graph data model at the same time that enables developers to 
integrate the legacy relational data model and the flexible graph data model in 
one database. AgensGraph supports ANSI-SQL and openCypher (<a 
href="http://www.opencypher.org/"; 
rel="nofollow">http://www.opencypher.org</a>). SQL queries and Cypher queries 
can be integrated into a single query in AgensGraph.</p>
<p>AgensGraph is based on the powerful PostgreSQL RDBMS, and is very robust, 
fully-featured and ready for enterprise use. AgensGraph is optimized for 
handling complex connected graph data and provides plenty of powerful database 
features essential to the enterprise database environment including ACID 
transactions, multi-version concurrency control, stored procedure, triggers, 
constraints, sophisticated monitoring and a flexible data model (JSON). 
Moreover, AgensGraph leverages the rich eco-systems of PostgreSQL and can be 
extended with many outstanding external modules, like PostGIS.</p>
<p><span>For more details please see the </span><a 
href="https://github.com/bitnine-oss/agensgraph/releases/tag/v2.5.0";><span>release
 notes</span></a><span>.</span></p>
<p>&nbsp;</p>
<h2><strong>Major Improvements in AgensGraph v2.5.</strong></h2>
<p>&nbsp;</p>
<h3><strong>1. Performance</strong></h3>
<p><span style="font-weight: 400;">Partitioning, a unique feature of relational 
DB, can now be used in AgensGraph as well.&nbsp;</span></p>
<p>&nbsp;</p>
<p><span style="font-weight: 400;">1.1. Large-scale data processing</span></p>
<p><span style="font-weight: 400;">&ndash; With partitioning, large-scale data 
processing is improved</span></p>
<p><span style="font-weight: 400;">&ndash; Improved performance speed and the 
convenience of data management</span></p>
<p><span style="font-weight: 400;">&ndash; Hybrid query (Cypher+SQL) 
performance has been improved in relation to large data processing 
performance.&nbsp;</span></p>
<p>&nbsp;</p>
<p><span style="font-weight: 400;">1.2. Query Performance</span></p>
<p><span style="font-weight: 400;">&ndash; When querying and aggregating large 
amounts of data, the performance of the query has been improved by hash join 
using parallel processing&nbsp;&nbsp;</span></p>
<p>&nbsp;</p>
<h3><strong>2. Ease of Use</strong></h3>
<p><span style="font-weight: 400;">A stored procedure has been added. The 
stored procedure can package and store multiple queries into one 
logic.&nbsp;</span></p>
<p>&nbsp;</p>
<p><span style="font-weight: 400;">2.1. Convenience of Data 
Management</span></p>
<p><span style="font-weight: 400;">&ndash; The newly added stored procedure 
eliminates repetitive tasks, thus saving time&nbsp;</span></p>
<p><span style="font-weight: 400;">&ndash; Convenience of expansion and 
maintenance has significantly improved</span></p>
<p>&nbsp;</p>
<h3><strong>3. Algorithms</strong></h3>
<p><span style="font-weight: 400;">New graph algorithms are provided in a 
package.&nbsp;</span></p>
<p>&nbsp;</p>
<p><span style="font-weight: 400;">3.1. Latest Graph Algorithms</span></p>
<p><span style="font-weight: 400;">&ndash; A total of 7 advanced graph 
algorithms such as centrality, community detection, and similarity, etc are the 
core of graph analysis and shall be included in the package.&nbsp;</span></p>
<p>&nbsp;</p>
<h3><strong>4. High Availability</strong></h3>
<p><span style="font-weight: 400;">Information systems with high availability 
can operate normally for a long period of time without failure.</span></p>
<p>&nbsp;</p>
<p><span style="font-weight: 400;">4.1. Agpool&rsquo;s High 
Availability</span></p>
<p><span style="font-weight: 400;">Updated Agpool to improve high 
availability&nbsp;</span></p>
<p><span style="font-weight: 400;">&ndash; Load Balancing: when multiple users 
execute a query at the same time, the query is distributed across multiple 
servers for processing&nbsp;</span></p>
<p><span style="font-weight: 400;">&ndash; Auto Failover: when the master 
server fails, the slave server takes over instead&nbsp;</span></p>
<p>&nbsp;</p>
<p><span style="font-weight: 400;">The new version is immediately available for 
</span><a href="https://bitnine.net/agensgraph-downloads/";><span 
style="font-weight: 400;">download</span></a><span style="font-weight: 
400;">.</span></p>

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